ZEYNEP TUNÇ - Profile on Academia.edu (original) (raw)
Papers by ZEYNEP TUNÇ
An Open Sourced Software for Data Transformation and an Application on Simulated Data
2019 International Artificial Intelligence and Data Processing Symposium (IDAP), 2019
In this study, it is aimed to develop a new user-friendly web-based software to ensure the normal... more In this study, it is aimed to develop a new user-friendly web-based software to ensure the normal distribution of the new data set obtained by applying various mathematical transformations to data sets that do not meet the normal distribution from parametric hypothesis testing conditions. The web based software is developed by Shiny web framework, which is an open source R package. In the web-based software, arcsinh (x), Box-Cox, Exponential, Lambert W (h type), Lambert W (s type), Logarithmic, Square root, Yeo-Johnson data transformation methods are used. The software also allows us to decide on the best conversion for the data set to be transformed by calculating the Pearson P test statistic, which chooses on the best method in the methods used. This is done by selecting the conversion with the smallest Pearson P statistic. In order to evaluate the outputs of the software, a data set with three variables was derived with the Cauchy, gamma, Weibull distributions respectively and 500 samples were used for each distribution. The developed software is novel user-friendly web-based software that enables researchers to get more accurate results in their work and to obtain data transformation methods that provide parametric test assumptions known as more powerful tests.
The Journal of Cognitive Systems, Dec 31, 2020
This study aims to predict mortality status by heart failure and to determine the related factors... more This study aims to predict mortality status by heart failure and to determine the related factors by applying the relational classification method, one of the data mining methods, on the openaccess heart failure data set. Materials and Methods: In this study, the associative classification model has been applied to the open-access data set named "Heart Failure Prediction". The performance of the model was evaluated by accuracy, balanced accuracy, sensitivity, selectivity, positive predictive value, negative predictive value, and F1-score.
Performance Evaluation of Different Artificial Neural Network Models in the Classification of Type 2 Diabetes Mellitus
Objective: In this study, it is aimed to classify type 2 Diabetes Mellitus (DM), compare the esti... more Objective: In this study, it is aimed to classify type 2 Diabetes Mellitus (DM), compare the estimates of the Artificial Neural Network models and determine the factors related to the disease by applying Multilayer Perceptron (MLP) and Radial Based Function (RBF) methods on the open-access dataset. Material and Methods: In this study, the data set named “Pima Indians Diabetes Database” was obtained from https://www.kaggle.com/uciml/pima-indians-diabetes-database. The dataset contains 768 records with 268 (34.9%) type 2 diabetes patients and 500 (65.1%) people without diabetes, which have 9 variables (8 inputs and 1 outcome). MLP and RBF methods, which are artificial neural network models, were used to classify type 2 DM. Factors associated with type 2 DM were estimated by using artificial neural network models. Results: The performance values obtained with MLP from the applied models were accuracy 78.1%, specificity 81.2%, AUC 0.848, sensitivity 71%, positive predictive value 61.7%,...
Aim: The second-largest cause of cancer mortality for women is breast cancer. The main techniques... more Aim: The second-largest cause of cancer mortality for women is breast cancer. The main techniques for diagnosing breast cancer are mammography and tumor biopsy accompanied by histopathological studies. The mammograms are not detective of all subtypes of breast tumors, particularly those which arise and are more aggressive in young women or women with dense breast tissue. Circulating prognostic molecules and liquid biopsy approaches to detect breast cancer and the death risk are desperately essential. The purpose of this study is to develop a web-based tool for the use of the associative classification method that can classify breast cancer using the association rules method. Materials and Methods: In this study, an open-access dataset named “Breast Cancer Wisconsin (Diagnostic) Data Set” was used for the classification. To create this web-based application, the Shiny library is used, which allows the design of interactive web-based applications based on the R programming language. C...
Classification of Breast Cancer and Determination of Related Factors with Deep Learning Approach
Aim: In this study, it is aimed to classify breast cancer and identify related factors by applyin... more Aim: In this study, it is aimed to classify breast cancer and identify related factors by applying deep learning method on open access to breast cancer dataset. Materials and Methods: In this study, 11 variables related to open access to breast cancer dataset of 569 patients shared by the University of Wisconsin were used. The deep learning model for classifying breast cancer was established by a 10-fold cross-validation method. The performance of the model was evaluated with accuracy, sensitivity, specificity, positive/negative predictive values, F-score, and area under the curve (AUC). Factors associated with breast cancer were estimated from the deep learning model. Results: Accuracy, specificity, AUC, sensitivity, positive predictive value, negative predictive value, and F-score values obtained from the model were 94.91%, 91.47%, 0.988, 96.90%, 95.42%, 95.14%, and 96.03%, respectively. In this study, when the effects of the variables in the dataset on breast cancer were evaluate...
Middle Black Sea Journal of Health Science, 2020
Objective: In this study, it is aimed to develop a new user-friendly web-based software in order ... more Objective: In this study, it is aimed to develop a new user-friendly web-based software in order to easily carry out the use of permutation tests that can overcome the difficulties of use due to the restrictions in the usage phases of parametric and nonparametric tests and can be used as an alternative to these tests. Methods: Shiny, an R package, was used to develop the "permutation tests" software. In the developed software, by selecting "the Specify Sample Number" tab, the number of samples presented as "Single", "Two" and "More than two" options is selected and analyzes are made by selecting the appropriate data set from the file upload menu. Results: The data set called "dietstudy" was used to examine the work of the developed web-based software and to evaluate its outputs. "Two Independent Sample Permutation Tests" were selected and analyzed to see whether there was a difference between the variables in terms of gender. According to the results, no statistically significant difference was found for the triglyceride levels Triglyceride, 1st interim triglyceride, 2nd interim triglyceride, 3rd interim triglyceride ve Final triglyceride in terms of gender, but a statistically significant difference was obtained in terms of Weight, 1st interim weight, 2nd interim weight, 3rd interim weight ve Final weight variables. The "permutation tests" software developed is a new user-friendly web-based software that can be used to easily perform permutation tests that can be used as an alternative to the preferred parametric and non-parametric tests.
Journal of Traditional Medical Complementary Therapies, 2020
Yoğun bakım (YB) ve palyatif bakım (PB) üniteleri yaşam sonu bakımın uygulandığı kliniklerdir. PB... more Yoğun bakım (YB) ve palyatif bakım (PB) üniteleri yaşam sonu bakımın uygulandığı kliniklerdir. PB hizmetlerinin optimal düzeyde verilebilmesi için bu ünitelerde çalışanların PB hakkında yeterli düzeyde bilgi sahibi olması gerekmektedir. Bu çalışmanın amacı, YB ve PB ünitelerinde çalışan doktor ve hemşirelerin PB'ye ilişkin bilgi ve görüşlerinin belirlenmesi ve karşılaştırılmasıdır. Gereç ve Yöntemler: Çalışma; Malatya Eğitim ve Araştırma Hastanesi Reanimasyon YB, Dahiliye YB ve PB ünitelerinde çalışan hekim ve hemşireler ile yüz yüze görüşme yöntemi ile yapılmıştır. Çalışmada veriler, sosyodemografik özellikler formu ve literatür bilgileri doğrultusunda hazırlanan, çalışanların PB'ye yönelik mevcut bilgi ve görüşlerini belirleyici anket formu kullanılarak elde edilmiştir. Bulgular: Çalışmaya katılanların (68 hemşire, 12 doktor) yaş ortalaması 34 olup, çoğunluğunu lisans mezunu kadınlar oluşturmaktaydı. Katılımcıların %80'i eğitimleri sırasında PB eğitimi almadıklarını ve %76,3'ü yapılacak eğitim programlarına ihtiyaç duyduklarını belirtti. YB çalışanlarının %37,5'i, PB çalışanlarının %20'si hospis tanımını bilmediklerini ifade etti. PB çalışanlarının çoğu (%85,1) tedavisi biten hastaların taburculuğunda zorlandıklarını ve %85,5'i PB'de tükenmişlik yaşadıklarını belirtti. YB hemşirelerinin %63,8'i "YB"de PB hizmeti verilmelidir, ifadesine katılmadıklarını ve bu konu hakkında bilgi sahibi olmadıklarını belirtti. Çalışanların tamamına yakını, PB temel eğitiminin üniversite eğitim programlarında zorunlu olması gerektiğini belirtti. Sonuç: YB ve PB ünitesinde çalışan sağlık personelinin "Palyatif bakım ve hospis" kavramları konusunda yeterli bilgiye sahip olmadıkları, bilgi düzeylerinde farklılıklar olduğu ve bu konuda yapılacak eğitim programlarına ihtiyaç duydukları belirlenmiştir. Bu durumun temel lisans eğitimindeki eksikliklerden kaynaklandığı, eğitim müfredatında zorunlu PB eğitim dersinin yer alması ve sertifikalı eğitim programlarının yaygınlaşması gerektiği düşünülmektedir. Anah tar Ke li me ler: Palyatif bakım; yoğun bakım; sağlık personeli; bilgi ABS TRACT Objective: Intensive care (ICU) and palliative care (PD) units are clinics where end-of-life care is applied. In order for PB services to be provided at an optimal level, employees working in these units should have sufficient knowledge about PB. The aim of this study is to determine and compare the knowledge and opinions of doctors and nurses working in the ICU and PD units about palliative care. Material and Methods: Study; Malatya Training and Research Hospital Reanimation YB, Internal Medicine YB and PB were conducted by face to face interviews with physicians and nurses working in the units. In the study, the data were obtained by using the questionnaire form, which was prepared in line with the socio-demographic characteristics form and the literature information, and which determines the current knowledge and opinions of the employees about PD. Results: The average age of the participants (68 nurses, 12 doctors) was 34, most of whom were undergraduate graduates. 80% of the participants stated that they did not receive PD training during their training and 76.3% of them stated that they needed training programs to be carried out. 37.5% of YB employees and 20% of PD employees stated that they do not know the definition of hospis. Most of the PD staff (85.1%) stated that the patients who had completed their treatment had difficulty in discharge and 85.5% of them experienced burnout in PD. 63.8% of the YB nurses stated that they disagree with the statement "PB service should be provided in YB" and they do not have any information about this subject. Almost all of the employees stated that PB basic education should be compulsory in university education programs. Conclusion: It was determined that the health personnel working in the YB and PD unit do not have sufficient information about the concepts of "Palliative care and hospice", there are differences in their knowledge levels and they need training programs to be carried out in this regard. It is thought that this situation is due to the deficiencies in basic undergraduate education, compulsory PB education courses should be included in the education curriculum and certified education programs should become widespread.
Open-Source Web-Based Software for Performing Permutation Tests
2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2019
In this study, it is aimed to develop a new user-friendly web-based software which can overcome t... more In this study, it is aimed to develop a new user-friendly web-based software which can overcome the difficulties of use due to the limitations in the use stages of parametric and non-parametric tests and can easily use the permutation tests which can be used as an alternative to these tests.Shiny, an open-source R package, is used to develop the recommended web software. In the developed software, by selecting "the Specify Sample Number" tab, the number of samples presented as "Single", "Two" and "More than two" options is selected and analyzes are made by selecting the appropriate data set from the file upload menu.In this study, in order to show the way the software works and to evaluate its outputs, a data set containing 1000 observations with the standard normal distribution of variables consisting of two variables was used. "Two Dependent Sample Permutation Tests" were selected to analyze whether there was any difference between the variables. According to the results, no statistically significant difference was found between the variables.The developed software is a new user-friendly web-based software that can be used to perform the permutation tests in an easy way as an alternative to parametric and non-parametric tests.
Middle Black Sea Journal of Health Science, 2020
Objective: In this study, it is aimed to develop a new user-friendly web-based software to easily... more Objective: In this study, it is aimed to develop a new user-friendly web-based software to easily carry out Bayesian tests, which are becoming more and more common, instead of using the classical approach, which is generally preferred in analysis from statistical modeling. Method: Shiny, an open-source R package, is used to develop the recommended web software. In the developed software, by selecting "the Specify Sample Number" tab, the number of samples presented as "Single", "Two" options is selected, and analyzes are made by selecting the appropriate data set from the file upload menu. Results: The data set "ulcer recurrence" was used to examine the way the developed web-based software works and to evaluate its output. To test whether there is a difference in age variable in terms of result variable, "Two Independent Sample Bayes Tests" were selected and analyzes were performed. According to the results obtained, statistically "little evidence for Ho" was found for the age variable in terms of the result variable. With the evidence obtained, it is said that no statistically significant difference was obtained for the dependent variable according to the independent variable. The developed software is a new user-friendly web-based software that can be used to easily use Bayesian tests used as an alternative to the classical approach.
Open Source Web-Based Software to Evaluate Normal Distribution: Normality Assessment Software
2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2019
In this study, it was aimed to develop a new user-friendly web-based software that would easily t... more In this study, it was aimed to develop a new user-friendly web-based software that would easily test single-variable univariate and multivariate normal distribution suitability and enable users to get more accurate results in their studies.Shiny, an open source R package, was used to develop the proposed web software. In the developed software, Shapiro-Wilk and Anderson-Darling tests were used for the uniformity of univariate distribution, and Mardia's skewness-kurtosis, Henze-Zircon and Doornik-Hansen tests were used for multivariate normal distribution. Outputs for conformity to normal distribution were supported by using graphical methods. In practice, for the data set where each variable consisting of two variables derived by simulation has a standard normal distribution and the variables contain 1000 observations, the normal distribution conformity analysis has been performed. In the derived data set, each variable is normally distributed according to the Anderson-Darling a...
Classification of Prostate Cancer and Determination of Related Factors with Different Artificial Neural Network
Middle Black Sea Journal of Health Science
An Open Sourced Software for Data Transformation and an Application on Simulated Data
2019 International Artificial Intelligence and Data Processing Symposium (IDAP), 2019
In this study, it is aimed to develop a new user-friendly web-based software to ensure the normal... more In this study, it is aimed to develop a new user-friendly web-based software to ensure the normal distribution of the new data set obtained by applying various mathematical transformations to data sets that do not meet the normal distribution from parametric hypothesis testing conditions. The web based software is developed by Shiny web framework, which is an open source R package. In the web-based software, arcsinh (x), Box-Cox, Exponential, Lambert W (h type), Lambert W (s type), Logarithmic, Square root, Yeo-Johnson data transformation methods are used. The software also allows us to decide on the best conversion for the data set to be transformed by calculating the Pearson P test statistic, which chooses on the best method in the methods used. This is done by selecting the conversion with the smallest Pearson P statistic. In order to evaluate the outputs of the software, a data set with three variables was derived with the Cauchy, gamma, Weibull distributions respectively and 500 samples were used for each distribution. The developed software is novel user-friendly web-based software that enables researchers to get more accurate results in their work and to obtain data transformation methods that provide parametric test assumptions known as more powerful tests.
The Journal of Cognitive Systems, Dec 31, 2020
This study aims to predict mortality status by heart failure and to determine the related factors... more This study aims to predict mortality status by heart failure and to determine the related factors by applying the relational classification method, one of the data mining methods, on the openaccess heart failure data set. Materials and Methods: In this study, the associative classification model has been applied to the open-access data set named "Heart Failure Prediction". The performance of the model was evaluated by accuracy, balanced accuracy, sensitivity, selectivity, positive predictive value, negative predictive value, and F1-score.
Performance Evaluation of Different Artificial Neural Network Models in the Classification of Type 2 Diabetes Mellitus
Objective: In this study, it is aimed to classify type 2 Diabetes Mellitus (DM), compare the esti... more Objective: In this study, it is aimed to classify type 2 Diabetes Mellitus (DM), compare the estimates of the Artificial Neural Network models and determine the factors related to the disease by applying Multilayer Perceptron (MLP) and Radial Based Function (RBF) methods on the open-access dataset. Material and Methods: In this study, the data set named “Pima Indians Diabetes Database” was obtained from https://www.kaggle.com/uciml/pima-indians-diabetes-database. The dataset contains 768 records with 268 (34.9%) type 2 diabetes patients and 500 (65.1%) people without diabetes, which have 9 variables (8 inputs and 1 outcome). MLP and RBF methods, which are artificial neural network models, were used to classify type 2 DM. Factors associated with type 2 DM were estimated by using artificial neural network models. Results: The performance values obtained with MLP from the applied models were accuracy 78.1%, specificity 81.2%, AUC 0.848, sensitivity 71%, positive predictive value 61.7%,...
Aim: The second-largest cause of cancer mortality for women is breast cancer. The main techniques... more Aim: The second-largest cause of cancer mortality for women is breast cancer. The main techniques for diagnosing breast cancer are mammography and tumor biopsy accompanied by histopathological studies. The mammograms are not detective of all subtypes of breast tumors, particularly those which arise and are more aggressive in young women or women with dense breast tissue. Circulating prognostic molecules and liquid biopsy approaches to detect breast cancer and the death risk are desperately essential. The purpose of this study is to develop a web-based tool for the use of the associative classification method that can classify breast cancer using the association rules method. Materials and Methods: In this study, an open-access dataset named “Breast Cancer Wisconsin (Diagnostic) Data Set” was used for the classification. To create this web-based application, the Shiny library is used, which allows the design of interactive web-based applications based on the R programming language. C...
Classification of Breast Cancer and Determination of Related Factors with Deep Learning Approach
Aim: In this study, it is aimed to classify breast cancer and identify related factors by applyin... more Aim: In this study, it is aimed to classify breast cancer and identify related factors by applying deep learning method on open access to breast cancer dataset. Materials and Methods: In this study, 11 variables related to open access to breast cancer dataset of 569 patients shared by the University of Wisconsin were used. The deep learning model for classifying breast cancer was established by a 10-fold cross-validation method. The performance of the model was evaluated with accuracy, sensitivity, specificity, positive/negative predictive values, F-score, and area under the curve (AUC). Factors associated with breast cancer were estimated from the deep learning model. Results: Accuracy, specificity, AUC, sensitivity, positive predictive value, negative predictive value, and F-score values obtained from the model were 94.91%, 91.47%, 0.988, 96.90%, 95.42%, 95.14%, and 96.03%, respectively. In this study, when the effects of the variables in the dataset on breast cancer were evaluate...
Middle Black Sea Journal of Health Science, 2020
Objective: In this study, it is aimed to develop a new user-friendly web-based software in order ... more Objective: In this study, it is aimed to develop a new user-friendly web-based software in order to easily carry out the use of permutation tests that can overcome the difficulties of use due to the restrictions in the usage phases of parametric and nonparametric tests and can be used as an alternative to these tests. Methods: Shiny, an R package, was used to develop the "permutation tests" software. In the developed software, by selecting "the Specify Sample Number" tab, the number of samples presented as "Single", "Two" and "More than two" options is selected and analyzes are made by selecting the appropriate data set from the file upload menu. Results: The data set called "dietstudy" was used to examine the work of the developed web-based software and to evaluate its outputs. "Two Independent Sample Permutation Tests" were selected and analyzed to see whether there was a difference between the variables in terms of gender. According to the results, no statistically significant difference was found for the triglyceride levels Triglyceride, 1st interim triglyceride, 2nd interim triglyceride, 3rd interim triglyceride ve Final triglyceride in terms of gender, but a statistically significant difference was obtained in terms of Weight, 1st interim weight, 2nd interim weight, 3rd interim weight ve Final weight variables. The "permutation tests" software developed is a new user-friendly web-based software that can be used to easily perform permutation tests that can be used as an alternative to the preferred parametric and non-parametric tests.
Journal of Traditional Medical Complementary Therapies, 2020
Yoğun bakım (YB) ve palyatif bakım (PB) üniteleri yaşam sonu bakımın uygulandığı kliniklerdir. PB... more Yoğun bakım (YB) ve palyatif bakım (PB) üniteleri yaşam sonu bakımın uygulandığı kliniklerdir. PB hizmetlerinin optimal düzeyde verilebilmesi için bu ünitelerde çalışanların PB hakkında yeterli düzeyde bilgi sahibi olması gerekmektedir. Bu çalışmanın amacı, YB ve PB ünitelerinde çalışan doktor ve hemşirelerin PB'ye ilişkin bilgi ve görüşlerinin belirlenmesi ve karşılaştırılmasıdır. Gereç ve Yöntemler: Çalışma; Malatya Eğitim ve Araştırma Hastanesi Reanimasyon YB, Dahiliye YB ve PB ünitelerinde çalışan hekim ve hemşireler ile yüz yüze görüşme yöntemi ile yapılmıştır. Çalışmada veriler, sosyodemografik özellikler formu ve literatür bilgileri doğrultusunda hazırlanan, çalışanların PB'ye yönelik mevcut bilgi ve görüşlerini belirleyici anket formu kullanılarak elde edilmiştir. Bulgular: Çalışmaya katılanların (68 hemşire, 12 doktor) yaş ortalaması 34 olup, çoğunluğunu lisans mezunu kadınlar oluşturmaktaydı. Katılımcıların %80'i eğitimleri sırasında PB eğitimi almadıklarını ve %76,3'ü yapılacak eğitim programlarına ihtiyaç duyduklarını belirtti. YB çalışanlarının %37,5'i, PB çalışanlarının %20'si hospis tanımını bilmediklerini ifade etti. PB çalışanlarının çoğu (%85,1) tedavisi biten hastaların taburculuğunda zorlandıklarını ve %85,5'i PB'de tükenmişlik yaşadıklarını belirtti. YB hemşirelerinin %63,8'i "YB"de PB hizmeti verilmelidir, ifadesine katılmadıklarını ve bu konu hakkında bilgi sahibi olmadıklarını belirtti. Çalışanların tamamına yakını, PB temel eğitiminin üniversite eğitim programlarında zorunlu olması gerektiğini belirtti. Sonuç: YB ve PB ünitesinde çalışan sağlık personelinin "Palyatif bakım ve hospis" kavramları konusunda yeterli bilgiye sahip olmadıkları, bilgi düzeylerinde farklılıklar olduğu ve bu konuda yapılacak eğitim programlarına ihtiyaç duydukları belirlenmiştir. Bu durumun temel lisans eğitimindeki eksikliklerden kaynaklandığı, eğitim müfredatında zorunlu PB eğitim dersinin yer alması ve sertifikalı eğitim programlarının yaygınlaşması gerektiği düşünülmektedir. Anah tar Ke li me ler: Palyatif bakım; yoğun bakım; sağlık personeli; bilgi ABS TRACT Objective: Intensive care (ICU) and palliative care (PD) units are clinics where end-of-life care is applied. In order for PB services to be provided at an optimal level, employees working in these units should have sufficient knowledge about PB. The aim of this study is to determine and compare the knowledge and opinions of doctors and nurses working in the ICU and PD units about palliative care. Material and Methods: Study; Malatya Training and Research Hospital Reanimation YB, Internal Medicine YB and PB were conducted by face to face interviews with physicians and nurses working in the units. In the study, the data were obtained by using the questionnaire form, which was prepared in line with the socio-demographic characteristics form and the literature information, and which determines the current knowledge and opinions of the employees about PD. Results: The average age of the participants (68 nurses, 12 doctors) was 34, most of whom were undergraduate graduates. 80% of the participants stated that they did not receive PD training during their training and 76.3% of them stated that they needed training programs to be carried out. 37.5% of YB employees and 20% of PD employees stated that they do not know the definition of hospis. Most of the PD staff (85.1%) stated that the patients who had completed their treatment had difficulty in discharge and 85.5% of them experienced burnout in PD. 63.8% of the YB nurses stated that they disagree with the statement "PB service should be provided in YB" and they do not have any information about this subject. Almost all of the employees stated that PB basic education should be compulsory in university education programs. Conclusion: It was determined that the health personnel working in the YB and PD unit do not have sufficient information about the concepts of "Palliative care and hospice", there are differences in their knowledge levels and they need training programs to be carried out in this regard. It is thought that this situation is due to the deficiencies in basic undergraduate education, compulsory PB education courses should be included in the education curriculum and certified education programs should become widespread.
Open-Source Web-Based Software for Performing Permutation Tests
2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2019
In this study, it is aimed to develop a new user-friendly web-based software which can overcome t... more In this study, it is aimed to develop a new user-friendly web-based software which can overcome the difficulties of use due to the limitations in the use stages of parametric and non-parametric tests and can easily use the permutation tests which can be used as an alternative to these tests.Shiny, an open-source R package, is used to develop the recommended web software. In the developed software, by selecting "the Specify Sample Number" tab, the number of samples presented as "Single", "Two" and "More than two" options is selected and analyzes are made by selecting the appropriate data set from the file upload menu.In this study, in order to show the way the software works and to evaluate its outputs, a data set containing 1000 observations with the standard normal distribution of variables consisting of two variables was used. "Two Dependent Sample Permutation Tests" were selected to analyze whether there was any difference between the variables. According to the results, no statistically significant difference was found between the variables.The developed software is a new user-friendly web-based software that can be used to perform the permutation tests in an easy way as an alternative to parametric and non-parametric tests.
Middle Black Sea Journal of Health Science, 2020
Objective: In this study, it is aimed to develop a new user-friendly web-based software to easily... more Objective: In this study, it is aimed to develop a new user-friendly web-based software to easily carry out Bayesian tests, which are becoming more and more common, instead of using the classical approach, which is generally preferred in analysis from statistical modeling. Method: Shiny, an open-source R package, is used to develop the recommended web software. In the developed software, by selecting "the Specify Sample Number" tab, the number of samples presented as "Single", "Two" options is selected, and analyzes are made by selecting the appropriate data set from the file upload menu. Results: The data set "ulcer recurrence" was used to examine the way the developed web-based software works and to evaluate its output. To test whether there is a difference in age variable in terms of result variable, "Two Independent Sample Bayes Tests" were selected and analyzes were performed. According to the results obtained, statistically "little evidence for Ho" was found for the age variable in terms of the result variable. With the evidence obtained, it is said that no statistically significant difference was obtained for the dependent variable according to the independent variable. The developed software is a new user-friendly web-based software that can be used to easily use Bayesian tests used as an alternative to the classical approach.
Open Source Web-Based Software to Evaluate Normal Distribution: Normality Assessment Software
2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2019
In this study, it was aimed to develop a new user-friendly web-based software that would easily t... more In this study, it was aimed to develop a new user-friendly web-based software that would easily test single-variable univariate and multivariate normal distribution suitability and enable users to get more accurate results in their studies.Shiny, an open source R package, was used to develop the proposed web software. In the developed software, Shapiro-Wilk and Anderson-Darling tests were used for the uniformity of univariate distribution, and Mardia's skewness-kurtosis, Henze-Zircon and Doornik-Hansen tests were used for multivariate normal distribution. Outputs for conformity to normal distribution were supported by using graphical methods. In practice, for the data set where each variable consisting of two variables derived by simulation has a standard normal distribution and the variables contain 1000 observations, the normal distribution conformity analysis has been performed. In the derived data set, each variable is normally distributed according to the Anderson-Darling a...
Classification of Prostate Cancer and Determination of Related Factors with Different Artificial Neural Network
Middle Black Sea Journal of Health Science