Michael Giretzlehner - Profile on Academia.edu (original) (raw)
Papers by Michael Giretzlehner
Semi-supervised Brain Tumor Segmentation Using Diffusion Models
IFIP advances in information and communication technology, 2023
Springer eBooks, 2020
The Collins English Dictionary defines documentation as "the act of supplying with or using docum... more The Collins English Dictionary defines documentation as "the act of supplying with or using documents or references" [14]. The aim of any documentation is to make the documented facts available. In most cases, the focus of such documentations is the gathering of data itself instead of making existing data available. The requirements for a modern wound documentation are far beyond traditional paper-based (even if converted into computer-based forms) documentation. The required medical features for wound documentation have already been well defined by experts. As stated by [8, 15], from a medical point of view, the following requirements are essential to ensure a modern and up-to-date wound documentation:
JMIR medical informatics, Oct 21, 2022
Electronic health records (EHRs) have been successfully used in data science and machine learning... more Electronic health records (EHRs) have been successfully used in data science and machine learning projects. However, most of these data are collected for clinical use rather than for retrospective analysis. This means that researchers typically face many different issues when attempting to access and prepare the data for secondary use. We aimed to investigate how raw EHRs can be accessed and prepared in retrospective data science projects in a disciplined, effective, and efficient way. We report our experience and findings from a large-scale data science project analyzing routinely acquired retrospective data from the Kepler University Hospital in Linz, Austria. The project involved data collection from more than 150,000 patients over a period of 10 years. It included diverse data modalities, such as static demographic data, irregularly acquired laboratory test results, regularly sampled vital signs, and high-frequency physiological waveform signals. Raw medical data can be corrupted in many unexpected ways that demand thorough manual inspection and highly individualized data cleaning solutions. We present a general data preparation workflow, which was shaped in the course of our project and consists of the following 7 steps: obtain a rough overview of the available EHR data, define clinically meaningful labels for supervised learning, extract relevant data from the hospital's data warehouses, match data extracted from different sources, deidentify them, detect errors and inconsistencies therein through a careful exploratory analysis, and implement a suitable data processing pipeline in actual code. Only few of the data preparation issues encountered in our project were addressed by generic medical data preprocessing tools that have been proposed recently. Instead, highly individualized solutions for the specific data used in one's own research seem inevitable. We believe that the proposed workflow can serve as a guidance for practitioners, helping them to identify and address potential problems early and avoid some common pitfalls.
Using emergency department triage for machine learning-based admission and mortality prediction
European Journal of Emergency Medicine, Aug 14, 2023
Aims Patient admission is a decision relying on sparsely available data. This study aims to provi... more Aims Patient admission is a decision relying on sparsely available data. This study aims to provide prediction models for discharge versus admission for ward observation or intensive care, and 30 day-mortality for patients triaged with the Manchester Triage System. Methods This is a single-centre, observational, retrospective cohort study from data within ten minutes of patient presentation at the interdisciplinary emergency department of the Kepler University Hospital, Linz, Austria. We trained machine learning models including Random Forests and Neural Networks individually to predict discharge versus ward observation or intensive care admission, and 30 day-mortality. For analysis of the features’ relevance, we used permutation feature importance. Results A total of 58323 adult patients between 1 December 2015 and 31 August 2020 were included. Neural Networks and Random Forests predicted admission to ward observation with an AUC-ROC of 0.842 ± 0.00 with the most important features being age and chief complaint. For admission to intensive care, the models had an AUC-ROC of 0.819 ± 0.002 with the most important features being the Manchester Triage category and heart rate, and for the outcome 30 day-mortality an AUC-ROC of 0.925 ± 0.001. The most important features for the prediction of 30 day-mortality were age and general ward admission. Conclusion Machine learning can provide prediction on discharge versus admission to general wards and intensive care and inform about risk on 30 day-mortality for patients in the emergency department.
Simulation of Steady and Transient 3D Flows via Physics-Informed Deep Learning
Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
Workflow assessment of an augmented reality application for planning of perforator flaps in plastic reconstructive surgery: Game or game changer?
DIGITAL HEALTH
Objective In contrast to the rising amount of financial investments for research and development ... more Objective In contrast to the rising amount of financial investments for research and development in medical technology worldwide is the lack of usability and clinical readiness of the produced systems. We evaluated an augmented reality (AR) setup under development for preoperative perforator vessel mapping for elective autologous breast reconstruction. Methods In this grant-supported research pilot, we used magnetic resonance angiography data (MR-A) of the trunk to superimpose the scans on the corresponding patients with hands-free AR goggles to identify regions-of-interest for surgical planning. Perforator location was assessed using MR-A imaging (MR-A projection) and Doppler ultrasound data (3D distance) and confirmed intraoperatively in all cases. We evaluated usability (System Usability Scale, SUS), data transfer load and documented personnel hours for software development, correlation of image data, as well as processing duration to clinical readiness (time from MR-A to AR proj...
CaTabRa: Efficient Analysis and Predictive Modeling of Tabular Data
IFIP advances in information and communication technology, 2023
Lecture Notes in Computer Science, 2004
This paper presents the results of the research project BurnCase in the field of realistic and an... more This paper presents the results of the research project BurnCase in the field of realistic and anatomically correct deformations of 3D models of the human body. The project goal is to develop a software system named BurnCase 3D, which supports and enhances the documentation and diagnosis of human burn injuries. The medical treatment of burn victims strongly depends on size, depth, degree and location of the burnt skin. The size of the affected region is usually expressed as a percentage of the total body surface area (TBSA). Standardized 2D charts (e.g. Lund and Browder, Rule-Of-Nines, etc.) help to determine the percentage of the burnt surface area in relation to the total body surface area. However, body proportions highly influence the distribution of body surface area along the body [Livingston and Lee, 2000]. Thus, standard charts can only give rough approximations of the burnt surface area compared to the real size of an injury on a specific patient. The software system BurnCase 3D will enhance this commonly applied 2D approximation process by introducing a 3D model of the patient's body. This 3D model provides a higher accordance to the real patient's surface area than any 2D chart does and allows determining the burnt surface areas more exactly. BurnCase 3D is based on an extendable library of currently 7 standard models representing different sex, age and body shape. In order to meet the physical constitution of the real patient, the best fitting model is chosen and has to be adapted according to the patient's height and weight. There exist several possibilities of adapting a 3D model to these parameters. This paper describes the three methods of body adaptations that are realized in the software system BurnCase 3D based on the thesis of Doris Siegl ([Siegl, 2003]).
Fluids
Machine learning-based modeling of physical systems has attracted significant interest in recent ... more Machine learning-based modeling of physical systems has attracted significant interest in recent years. Based solely on the underlying physical equations and initial and boundary conditions, these new approaches allow to approximate, for example, the complex flow of blood in the case of fluid dynamics. Physics-informed neural networks offer certain advantages compared to conventional computational fluid dynamics methods as they avoid the need for discretized meshes and allow to readily solve inverse problems and integrate additional data into the algorithms. Today, the majority of published reports on learning-based flow modeling relies on fully-connected neural networks. However, many different network architectures are introduced into deep learning each year, each with specific benefits for certain applications. In this paper, we present the first comprehensive comparison of various state-of-the-art networks and evaluate their performance in terms of computational cost and accurac...
Epidemiology of burn injury and the ideal dressing in global burn care – Regional differences explored
Burns
Der Einsatz von Smartphone-Applikationen in der Verbrennungsmedizin
Einleitung: Smartphone Applikationen (Apps) werden immer beliebter und kommen daher auch immer hä... more Einleitung: Smartphone Applikationen (Apps) werden immer beliebter und kommen daher auch immer häufiger in der Medizin zum Einsatz. Das Ziel dieser Arbeit war es die Verfügbarkeit von Apps, die sich mit dem Thema "Verbrennungen" befassen, zu evaluieren. Hauptaugenmerk wurde hierbei[zum vollständigen Text gelangen Sie über die oben angegebene URL]
Surgical treatment of unruptured middle cerebral artery bifurcation aneurysms – long-term retrospective single-centre study
Objective: Microsurgical clipping of middle cerebral artery aneurysms (MCA) has traditionally bee... more Objective: Microsurgical clipping of middle cerebral artery aneurysms (MCA) has traditionally been regarded as a standard treatment. Recently, a caseload reduction related to improved endovascular treatment options has occurred in cerebrovascular neurosurgery. Therefore, studies reporting the clinical[for full text, please go to the a.m. URL]
Bestimmung des Verbrennungsausmaßes unter dem Eindruck des technischen Fortschrittes / Subjektive Schätzung versus technische Genauigkeit – Eine Studie im Rahmen des OBOS Projektes
Einleitung: Die Bestimmung des Gesamtausmaßes einer Verbrennung stellt eine der wesentlichsten Gr... more Einleitung: Die Bestimmung des Gesamtausmaßes einer Verbrennung stellt eine der wesentlichsten Grundlagen der Verbrennungsbehandlung dar. Seit geraumer Zeit weist die Literatur darauf hin, dass die getroffenen Einschätzungen wesentliche Fehler aufweisen, wobei als goldener Standard meist die[zum vollständigen Text gelangen Sie über die oben angegebene URL]
Verbrennungsausmaß, Fluid Creep, Glykokalyx, Natriuretisches Peptid und Hyaluronan Neueres von der Wasserfront der Verbrennungsbehandlung
Einleitung: Bei der Einschätzung des Verbrennungsausmaßes kommt es auch bei Fachleuten zu wesentl... more Einleitung: Bei der Einschätzung des Verbrennungsausmaßes kommt es auch bei Fachleuten zu wesentlichen Fehleichschätzungen. Auf der Basis dieser Einschätzung oder auch anderer Formeln beginnt die Flüssigkeitsgabe präklinisch beim Verbrennungspatienten. In der Literatur [for full text, please go to the a.m. URL]
Die Entwicklung von hypertrophen Narben in Abhängigkeit von den verwendeten Methoden: Wie kann der Zusammenhang beurteilt werden und was ist notwendig um dies zu gewährleisten?
Einleitung: Die Entwicklung hypertrophen Narben kann von verschiedenen Ausgangspunkten aus betrac... more Einleitung: Die Entwicklung hypertrophen Narben kann von verschiedenen Ausgangspunkten aus betrachtet werden. Sowohl Gene Expression, als auch Zytokine Umweltbedingungen und Behandlungsmethoden sowohl von chirurgischer als auch von intensiver medizinischer Seite müssen hier in Betracht gezogen [zum vollständigen Text gelangen Sie über die oben angegebene URL]
Smartphone applications in burns
Burns, 2015
Since the introduction of applications (apps) for smartphones, the popularity of medical apps has... more Since the introduction of applications (apps) for smartphones, the popularity of medical apps has been rising. The aim of this review was to demonstrate the current availability of apps related to burns on Google's Android and Apple's iOS store as well as to include a review of their developers, features, and costs. A systematic online review of Google Play Store and Apple's App Store was performed by using the following search terms: "burn," "burns," "thermal," and the German word "Verbrennung." All apps that were programmed for use as medical apps for burns were included. The review was performed from 25 February until 1 March 2014. A closer look at the free and paid calculation apps including a standardized patient was performed. Four types of apps were identified: calculators, information apps, book/journal apps, and games. In Google Play Store, 31 apps were related to burns, of which 20 were calculation apps (eight for estimating the total body surface area (TBSA) and nine for total fluid requirement (TFR)). In Apple's App Store, under the category of medicine, 39 apps were related to burns, of which 21 were calculation apps (19 for estimating the TBSA and 17 for calculating the TFR). In 19 out of 32 available calculation apps, our study showed a correlation of the calculated TFR compared to our standardized patient. The review demonstrated that many apps for medical burns are available in both common app stores. Even free available calculation apps may provide a more objective and reproducible procedure compared to manual/subjective estimations, although there is still a lack of data security especially in personal data entered in calculation apps. Further clinical studies including smartphone apps for burns should be performed.
International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2012
We created an ontology-based data acquisition infrastructure which is able to store data of almos... more We created an ontology-based data acquisition infrastructure which is able to store data of almost arbitrary structure and can be set up for a certain domain of application within hours. An ontology editor helps the domain expert to define and maintain the domain specific ontology. Based on the user-defined ontology, a web-based data acquisition system and an ETL data import interface are automatically created at runtime. Furthermore, rules for semantic data plausibility can be established in the ontology to provide semantic data quality for subsequent processing of the collected data. After a comprehensive requirement analysis we decided to use a special meta model instead of standard OWL ontologies. In this paper, we describe our metamodel and the reason for not using OWL in our case in detail as well as we present the infrastructure and the project it is currently used for.
Surgical treatment of unruptured middle cerebral artery bifurcation aneurysms: long-term retrospective single center study
Brain and Spine
Annals of burns and fire disasters, 2014
Estimation of the total body surface area burned (%TBSA) following a burn injury is used in deter... more Estimation of the total body surface area burned (%TBSA) following a burn injury is used in determining whether to transfer the patient to a burn center and the required fluid resuscitation volumes. Unfortunately, the commonly applied methods of estimation have revealed inaccuracies, which are mostly related to human error. To calculate the %TBSA (quotient), it is necessary to divide the burned surface area (Burned BSA) (numerator in cm2) by the total body surface area (Total BSA) (denominator in cm2). By using everyday objects (eg. credit cards, smartphones) with well-defined surface areas as reference for estimations of Burned BSA on the one hand and established formulas for Total BSA calculation on the other (eg. Mosteller), we propose an approximation method to assess %TBSA more accurately than the established methods. To facilitate distribution, and respective user feedback, we have developed a smartphone app integrating all of the above parameters, available on popular mobile ...
Semi-supervised Brain Tumor Segmentation Using Diffusion Models
IFIP advances in information and communication technology, 2023
Springer eBooks, 2020
The Collins English Dictionary defines documentation as "the act of supplying with or using docum... more The Collins English Dictionary defines documentation as "the act of supplying with or using documents or references" [14]. The aim of any documentation is to make the documented facts available. In most cases, the focus of such documentations is the gathering of data itself instead of making existing data available. The requirements for a modern wound documentation are far beyond traditional paper-based (even if converted into computer-based forms) documentation. The required medical features for wound documentation have already been well defined by experts. As stated by [8, 15], from a medical point of view, the following requirements are essential to ensure a modern and up-to-date wound documentation:
JMIR medical informatics, Oct 21, 2022
Electronic health records (EHRs) have been successfully used in data science and machine learning... more Electronic health records (EHRs) have been successfully used in data science and machine learning projects. However, most of these data are collected for clinical use rather than for retrospective analysis. This means that researchers typically face many different issues when attempting to access and prepare the data for secondary use. We aimed to investigate how raw EHRs can be accessed and prepared in retrospective data science projects in a disciplined, effective, and efficient way. We report our experience and findings from a large-scale data science project analyzing routinely acquired retrospective data from the Kepler University Hospital in Linz, Austria. The project involved data collection from more than 150,000 patients over a period of 10 years. It included diverse data modalities, such as static demographic data, irregularly acquired laboratory test results, regularly sampled vital signs, and high-frequency physiological waveform signals. Raw medical data can be corrupted in many unexpected ways that demand thorough manual inspection and highly individualized data cleaning solutions. We present a general data preparation workflow, which was shaped in the course of our project and consists of the following 7 steps: obtain a rough overview of the available EHR data, define clinically meaningful labels for supervised learning, extract relevant data from the hospital's data warehouses, match data extracted from different sources, deidentify them, detect errors and inconsistencies therein through a careful exploratory analysis, and implement a suitable data processing pipeline in actual code. Only few of the data preparation issues encountered in our project were addressed by generic medical data preprocessing tools that have been proposed recently. Instead, highly individualized solutions for the specific data used in one's own research seem inevitable. We believe that the proposed workflow can serve as a guidance for practitioners, helping them to identify and address potential problems early and avoid some common pitfalls.
Using emergency department triage for machine learning-based admission and mortality prediction
European Journal of Emergency Medicine, Aug 14, 2023
Aims Patient admission is a decision relying on sparsely available data. This study aims to provi... more Aims Patient admission is a decision relying on sparsely available data. This study aims to provide prediction models for discharge versus admission for ward observation or intensive care, and 30 day-mortality for patients triaged with the Manchester Triage System. Methods This is a single-centre, observational, retrospective cohort study from data within ten minutes of patient presentation at the interdisciplinary emergency department of the Kepler University Hospital, Linz, Austria. We trained machine learning models including Random Forests and Neural Networks individually to predict discharge versus ward observation or intensive care admission, and 30 day-mortality. For analysis of the features’ relevance, we used permutation feature importance. Results A total of 58323 adult patients between 1 December 2015 and 31 August 2020 were included. Neural Networks and Random Forests predicted admission to ward observation with an AUC-ROC of 0.842 ± 0.00 with the most important features being age and chief complaint. For admission to intensive care, the models had an AUC-ROC of 0.819 ± 0.002 with the most important features being the Manchester Triage category and heart rate, and for the outcome 30 day-mortality an AUC-ROC of 0.925 ± 0.001. The most important features for the prediction of 30 day-mortality were age and general ward admission. Conclusion Machine learning can provide prediction on discharge versus admission to general wards and intensive care and inform about risk on 30 day-mortality for patients in the emergency department.
Simulation of Steady and Transient 3D Flows via Physics-Informed Deep Learning
Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
Workflow assessment of an augmented reality application for planning of perforator flaps in plastic reconstructive surgery: Game or game changer?
DIGITAL HEALTH
Objective In contrast to the rising amount of financial investments for research and development ... more Objective In contrast to the rising amount of financial investments for research and development in medical technology worldwide is the lack of usability and clinical readiness of the produced systems. We evaluated an augmented reality (AR) setup under development for preoperative perforator vessel mapping for elective autologous breast reconstruction. Methods In this grant-supported research pilot, we used magnetic resonance angiography data (MR-A) of the trunk to superimpose the scans on the corresponding patients with hands-free AR goggles to identify regions-of-interest for surgical planning. Perforator location was assessed using MR-A imaging (MR-A projection) and Doppler ultrasound data (3D distance) and confirmed intraoperatively in all cases. We evaluated usability (System Usability Scale, SUS), data transfer load and documented personnel hours for software development, correlation of image data, as well as processing duration to clinical readiness (time from MR-A to AR proj...
CaTabRa: Efficient Analysis and Predictive Modeling of Tabular Data
IFIP advances in information and communication technology, 2023
Lecture Notes in Computer Science, 2004
This paper presents the results of the research project BurnCase in the field of realistic and an... more This paper presents the results of the research project BurnCase in the field of realistic and anatomically correct deformations of 3D models of the human body. The project goal is to develop a software system named BurnCase 3D, which supports and enhances the documentation and diagnosis of human burn injuries. The medical treatment of burn victims strongly depends on size, depth, degree and location of the burnt skin. The size of the affected region is usually expressed as a percentage of the total body surface area (TBSA). Standardized 2D charts (e.g. Lund and Browder, Rule-Of-Nines, etc.) help to determine the percentage of the burnt surface area in relation to the total body surface area. However, body proportions highly influence the distribution of body surface area along the body [Livingston and Lee, 2000]. Thus, standard charts can only give rough approximations of the burnt surface area compared to the real size of an injury on a specific patient. The software system BurnCase 3D will enhance this commonly applied 2D approximation process by introducing a 3D model of the patient's body. This 3D model provides a higher accordance to the real patient's surface area than any 2D chart does and allows determining the burnt surface areas more exactly. BurnCase 3D is based on an extendable library of currently 7 standard models representing different sex, age and body shape. In order to meet the physical constitution of the real patient, the best fitting model is chosen and has to be adapted according to the patient's height and weight. There exist several possibilities of adapting a 3D model to these parameters. This paper describes the three methods of body adaptations that are realized in the software system BurnCase 3D based on the thesis of Doris Siegl ([Siegl, 2003]).
Fluids
Machine learning-based modeling of physical systems has attracted significant interest in recent ... more Machine learning-based modeling of physical systems has attracted significant interest in recent years. Based solely on the underlying physical equations and initial and boundary conditions, these new approaches allow to approximate, for example, the complex flow of blood in the case of fluid dynamics. Physics-informed neural networks offer certain advantages compared to conventional computational fluid dynamics methods as they avoid the need for discretized meshes and allow to readily solve inverse problems and integrate additional data into the algorithms. Today, the majority of published reports on learning-based flow modeling relies on fully-connected neural networks. However, many different network architectures are introduced into deep learning each year, each with specific benefits for certain applications. In this paper, we present the first comprehensive comparison of various state-of-the-art networks and evaluate their performance in terms of computational cost and accurac...
Epidemiology of burn injury and the ideal dressing in global burn care – Regional differences explored
Burns
Der Einsatz von Smartphone-Applikationen in der Verbrennungsmedizin
Einleitung: Smartphone Applikationen (Apps) werden immer beliebter und kommen daher auch immer hä... more Einleitung: Smartphone Applikationen (Apps) werden immer beliebter und kommen daher auch immer häufiger in der Medizin zum Einsatz. Das Ziel dieser Arbeit war es die Verfügbarkeit von Apps, die sich mit dem Thema "Verbrennungen" befassen, zu evaluieren. Hauptaugenmerk wurde hierbei[zum vollständigen Text gelangen Sie über die oben angegebene URL]
Surgical treatment of unruptured middle cerebral artery bifurcation aneurysms – long-term retrospective single-centre study
Objective: Microsurgical clipping of middle cerebral artery aneurysms (MCA) has traditionally bee... more Objective: Microsurgical clipping of middle cerebral artery aneurysms (MCA) has traditionally been regarded as a standard treatment. Recently, a caseload reduction related to improved endovascular treatment options has occurred in cerebrovascular neurosurgery. Therefore, studies reporting the clinical[for full text, please go to the a.m. URL]
Bestimmung des Verbrennungsausmaßes unter dem Eindruck des technischen Fortschrittes / Subjektive Schätzung versus technische Genauigkeit – Eine Studie im Rahmen des OBOS Projektes
Einleitung: Die Bestimmung des Gesamtausmaßes einer Verbrennung stellt eine der wesentlichsten Gr... more Einleitung: Die Bestimmung des Gesamtausmaßes einer Verbrennung stellt eine der wesentlichsten Grundlagen der Verbrennungsbehandlung dar. Seit geraumer Zeit weist die Literatur darauf hin, dass die getroffenen Einschätzungen wesentliche Fehler aufweisen, wobei als goldener Standard meist die[zum vollständigen Text gelangen Sie über die oben angegebene URL]
Verbrennungsausmaß, Fluid Creep, Glykokalyx, Natriuretisches Peptid und Hyaluronan Neueres von der Wasserfront der Verbrennungsbehandlung
Einleitung: Bei der Einschätzung des Verbrennungsausmaßes kommt es auch bei Fachleuten zu wesentl... more Einleitung: Bei der Einschätzung des Verbrennungsausmaßes kommt es auch bei Fachleuten zu wesentlichen Fehleichschätzungen. Auf der Basis dieser Einschätzung oder auch anderer Formeln beginnt die Flüssigkeitsgabe präklinisch beim Verbrennungspatienten. In der Literatur [for full text, please go to the a.m. URL]
Die Entwicklung von hypertrophen Narben in Abhängigkeit von den verwendeten Methoden: Wie kann der Zusammenhang beurteilt werden und was ist notwendig um dies zu gewährleisten?
Einleitung: Die Entwicklung hypertrophen Narben kann von verschiedenen Ausgangspunkten aus betrac... more Einleitung: Die Entwicklung hypertrophen Narben kann von verschiedenen Ausgangspunkten aus betrachtet werden. Sowohl Gene Expression, als auch Zytokine Umweltbedingungen und Behandlungsmethoden sowohl von chirurgischer als auch von intensiver medizinischer Seite müssen hier in Betracht gezogen [zum vollständigen Text gelangen Sie über die oben angegebene URL]
Smartphone applications in burns
Burns, 2015
Since the introduction of applications (apps) for smartphones, the popularity of medical apps has... more Since the introduction of applications (apps) for smartphones, the popularity of medical apps has been rising. The aim of this review was to demonstrate the current availability of apps related to burns on Google's Android and Apple's iOS store as well as to include a review of their developers, features, and costs. A systematic online review of Google Play Store and Apple's App Store was performed by using the following search terms: "burn," "burns," "thermal," and the German word "Verbrennung." All apps that were programmed for use as medical apps for burns were included. The review was performed from 25 February until 1 March 2014. A closer look at the free and paid calculation apps including a standardized patient was performed. Four types of apps were identified: calculators, information apps, book/journal apps, and games. In Google Play Store, 31 apps were related to burns, of which 20 were calculation apps (eight for estimating the total body surface area (TBSA) and nine for total fluid requirement (TFR)). In Apple's App Store, under the category of medicine, 39 apps were related to burns, of which 21 were calculation apps (19 for estimating the TBSA and 17 for calculating the TFR). In 19 out of 32 available calculation apps, our study showed a correlation of the calculated TFR compared to our standardized patient. The review demonstrated that many apps for medical burns are available in both common app stores. Even free available calculation apps may provide a more objective and reproducible procedure compared to manual/subjective estimations, although there is still a lack of data security especially in personal data entered in calculation apps. Further clinical studies including smartphone apps for burns should be performed.
International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2012
We created an ontology-based data acquisition infrastructure which is able to store data of almos... more We created an ontology-based data acquisition infrastructure which is able to store data of almost arbitrary structure and can be set up for a certain domain of application within hours. An ontology editor helps the domain expert to define and maintain the domain specific ontology. Based on the user-defined ontology, a web-based data acquisition system and an ETL data import interface are automatically created at runtime. Furthermore, rules for semantic data plausibility can be established in the ontology to provide semantic data quality for subsequent processing of the collected data. After a comprehensive requirement analysis we decided to use a special meta model instead of standard OWL ontologies. In this paper, we describe our metamodel and the reason for not using OWL in our case in detail as well as we present the infrastructure and the project it is currently used for.
Surgical treatment of unruptured middle cerebral artery bifurcation aneurysms: long-term retrospective single center study
Brain and Spine
Annals of burns and fire disasters, 2014
Estimation of the total body surface area burned (%TBSA) following a burn injury is used in deter... more Estimation of the total body surface area burned (%TBSA) following a burn injury is used in determining whether to transfer the patient to a burn center and the required fluid resuscitation volumes. Unfortunately, the commonly applied methods of estimation have revealed inaccuracies, which are mostly related to human error. To calculate the %TBSA (quotient), it is necessary to divide the burned surface area (Burned BSA) (numerator in cm2) by the total body surface area (Total BSA) (denominator in cm2). By using everyday objects (eg. credit cards, smartphones) with well-defined surface areas as reference for estimations of Burned BSA on the one hand and established formulas for Total BSA calculation on the other (eg. Mosteller), we propose an approximation method to assess %TBSA more accurately than the established methods. To facilitate distribution, and respective user feedback, we have developed a smartphone app integrating all of the above parameters, available on popular mobile ...