Chen-Liang Lin - Academia.edu (original) (raw)

Papers by Chen-Liang Lin

Research paper thumbnail of The Study of Organizational RecruitmentInformation Clarity and Organizational Reputation on Application Intentions

6th Annual International Conference on Qualitative and Quantitative Economics Research (QQE 2016), 2016

Research paper thumbnail of Gender Determination using Fingertip Features

Internet Journal of Medical Update - EJOURNAL, 2008

Several previous studies have investigated the gender difference of the fingerprint features. How... more Several previous studies have investigated the gender difference of the fingerprint features. However, regarding to the statistical significance of such differences, inconsistent results have been obtained. To resolve this problem and to develop a method for gender determination, this work proposes and tests three fingertip features for gender determination. Fingerprints were obtained from 115 normal healthy adults and comprised of 57 male and 58 female volunteers. All persons were born in Taiwan and were of Han nationality. The age range was18-35 years. The features of this study are ridge count, ridge density, and finger size, all three of which can easily be determined by counting and calculation. Experimental results show that the tested ridge density features alone are not very effective for gender determination. However, the proposed ridge count and finger size features of left little fingers are useful, achieving a classification accuracy of 75% (P-value<0.001) and 79% (P-value<0.001), respectively. The best classification result of 86% accuracy is obtained by using ridge count and finger size features together. This paper closes with a discussion of possible future research directions.

Research paper thumbnail of Determining the Association Between Dermatoglyphics and Schizophrenia by Using Fingerprint Asymmetry Measures

International Journal of Pattern Recognition and Artificial Intelligence, 2008

Early detection and intervention strategies for schizophrenia are receiving increasingly more att... more Early detection and intervention strategies for schizophrenia are receiving increasingly more attention. Dermatoglyphic patterns, such as the degree of asymmetry of the fingerprints, have been hypothesized to be indirect measures for early abnormal developmental processes that can lead to later psychiatric disorders such as schizophrenia. However, previous results have been inconsistent in trying to establish the association between dermatoglyphics and schizophrenia. The goal of this work is to try to resolve this problem by borrowing well-developed techniques from the field of fingerprint matching. Two dermatoglyphic asymmetry measures are proposed that draw on the orientation field of homologous fingers. To test the capability of these measures, fingerprint images were acquired digitally from 40 schizophrenic patients and 51 normal individuals. Based on these images, no statistically significant association between conventional dermatoglyphic asymmetry measures and schizophrenia was found. In contrast, the sample means of the proposed measures consistently identified the patient group as having a higher degree of asymmetry than the control group. These results suggest that the proposed measures are promising for detecting the dermatoglyphic patterns that can differentiate the patient and control groups.

Research paper thumbnail of EEG arousal prediction via hypoxemia indicator in patients with Obstructive Sleep Apnea Syndrome

Internet Journal of Medical Update - EJOURNAL, 2009

Research paper thumbnail of A neural network-based diagnostic method for solitary pulmonary nodules

Neurocomputing, 2008

ABSTRACT Several computer-aided diagnostic (CAD) methods for solitary pulmonary nodules (SPNs) ha... more ABSTRACT Several computer-aided diagnostic (CAD) methods for solitary pulmonary nodules (SPNs) have been proposed, which can be divided into two major categories: (1) the morphometric CT method, depending on high-resolution morphometric characteristics from single CT scan and (2) the perfusion CT method, depending on properties of the post-contrast enhancement dynamics obtained from repeated CT scans at predefined time points. The goal of this work is to introduce a neural network-based CAD method of lung nodule diagnosis by combining morphometry and perfusion characteristics by perfusion CT. Compared with previous methods, the proposed approach has the following distinctive features. Firstly, this work develops a very efficient semi-automatic procedure to segment entire nodules. Secondly, reliable nodule classification can be achieved by using only two time-point perfusion CT feature measures (precontrast and 90 s). This greatly reduces the amount of radiation exposure to patients and the data processing time. The effectiveness of the proposed approach is compared with those of several previously developed CAD methods.

Research paper thumbnail of A Novel Delay-Dependent Criterion for Time-Delay T-S Fuzzy Systems Using Fuzzy Lyapunov Method

International Journal on Artificial Intelligence Tools, 2007

Research paper thumbnail of A comparative study for 2D and 3D computer-aided diagnosis methods for solitary pulmonary nodules

Computerized Medical Imaging and Graphics, 2008

Many computer-aided diagnosis (CAD) methods, including 2D and 3D approaches, have been proposed f... more Many computer-aided diagnosis (CAD) methods, including 2D and 3D approaches, have been proposed for solitary pulmonary nodules (SPNs). However, the detection and diagnosis of SPNs remain challenging in many clinical circumstances. One goal of this work is to investigate the relative diagnostic accuracy of 2D and 3D methods. An additional goal is to develop a two-stage approach that combines the simplicity of 2D and the accuracy of 3D methods. The experimental results show statistically significant differences between the diagnostic accuracy of 2D and 3D methods. The results also show that with a very minor drop in diagnostic performance the two-stage approach can significantly reduce the number of nodules needed to be processed by the 3D method, streamlining the computational demand.

Research paper thumbnail of Comparison of the Indices of Oxyhemoglobin Saturation by Pulse Oximetry in Obstructive Sleep Apnea Hypopnea Syndrome

CHEST Journal, 2009

Objectives: To comprehensively evaluate the ability and reliability of the representative previou... more Objectives: To comprehensively evaluate the ability and reliability of the representative previously proposed oxyhemoglobin indexes derived automatically for predicting the severity of obstructive sleep apnea hypopnea syndrome (OSAHS). Methods: Patients with a diagnosis of OSAHS by standard polysomnography were recruited from China Medical University Hospital Centre. There were 257 patients in the learning set and 279 patients in the validation set. The presence of OSAHS was defined as apnea-hypopnea index (AHI) > 5/h. Three kinds of oxyhemoglobin indexes, including the oxyhemoglobin desaturation index (ODI), time-domain index, and frequency-domain index, were used. Degrees of severity were AHI > 15/h and AHI > 30/h, representing moderate and severe OSAHS. A total of 28 oxyhemoglobin indexes were tested in our study. Results: Among the three kinds of indexes, ODI had a better diagnostic performance than the time-domain and frequency-domain indexes, with the results coincident in the validation set and learning set. For predicting the severity of OSAHS with AHI > 15/h or > 30/h, the ODI clinically had the higher correlation with AHI than time-domain and frequency-domain indexes, with sensitivity/specificity achieving 84.0%/84.3% in AHI > 15/h and 87.8%/96.6% in AHI > 30/h, respectively. Conclusions: Based on the smaller SEE of the AHI, the ODI had a significantly smaller SEE than the time-domain and frequency-domain indexes. The ODI index provided a high level of diagnostic sensitivity and specificity at different degrees of OSAHS severity. (CHEST 2009; 135:86 -93) Key words: apnea hypopnea index; obstructive sleep apnea hypopnea syndrome; polysomnography; pulse oximetry Abbreviations: AHI ϭ apnea-hypopnea index; AUC ϭ area under the receiver operating characteristic curve; ⌬Index ϭ ⌬ index; FFT ϭ fast-Fourier transformation; NPV ϭ negative predictive value; ODI ϭ oxyhemoglobin desaturation index; OSAHS ϭ obstructive sleep apnea hypopnea syndrome; PPV ϭ positive predictive value; ROC ϭ receiver operating characteristic; S30 -70 ϭ ratio of the area enclosed in the periodogram within the period 30 to 70 s; Spo 2 ϭ oxyhemoglobin saturation by pulse oximetry Original Research

Research paper thumbnail of A psychometric assessment of the St. George’s respiratory questionnaire in patients with COPD using rasch model analysis

Health and Quality of Life Outcomes, 2015

The St. George&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;am... more The St. George&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s Respiratory Questionnaire (SGRQ) was a widely used tool to assess disease impact on patients with obstructive airways disease. Although traditional methods have generally supported construct validity and internal consistency reliability of SGRQ, such methods cannot facilitate the evaluation of whether items are equivalent to different individuals. The purpose of this study is to rigorously examine the psychometric properties of the SGRQ in patients with chronic obstructive pulmonary disease (COPD) using Rasch model analysis. A methodological research was conducted on SGRQ in a sample of 240 male patients with COPD recruited from the outpatient services in Central Taiwan. The psychometric properties of the SGRQ were examined using Rasch model analysis with a mixed rating scale and partial credit mode by Winsteps software. The level of matching between the item&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s difficulty and person&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s ability was analyzed by item-person targeting as well as ceiling and floor effects. Item-person maps were also examined for checking the location of the item&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s difficulty and person&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s measures along the same scale. Finally, the differential item functioning (DIF) was examined to measure group equivalence associated with age and disease&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s severity. Each of the three domains (Symptom, Activity, Impact) of the SGRQ was found to be unidimensionality. The person separation index ranged from 1.21 (Symptom domain) to 2.50 (Activity domain). There was a good targeting for the SGRQ domains, except the Impact domain (1.36). The percentage of ceiling and floor effects were below 10%, except the ceiling effect in the Impact domain (26.25%). From item-person maps, gaps of location of item corresponded to patient&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s ability were identified. The results have also showed that many items in SGRQ revealed age or severity related DIF. Except the Symptom domain of SGRQ, the others have a reliabile internal consistency and a good hierarchical structure. The results of Rasch model analysis can highlight aspects for scale improvement, such as gap, duplicate items or scale responses. There was some age or severity related DIF indicating somewhat unstable across different characteristics of group. IRB No.: DMR94-IRB-179.

Research paper thumbnail of The Study of Organizational RecruitmentInformation Clarity and Organizational Reputation on Application Intentions

6th Annual International Conference on Qualitative and Quantitative Economics Research (QQE 2016), 2016

Research paper thumbnail of Gender Determination using Fingertip Features

Internet Journal of Medical Update - EJOURNAL, 2008

Several previous studies have investigated the gender difference of the fingerprint features. How... more Several previous studies have investigated the gender difference of the fingerprint features. However, regarding to the statistical significance of such differences, inconsistent results have been obtained. To resolve this problem and to develop a method for gender determination, this work proposes and tests three fingertip features for gender determination. Fingerprints were obtained from 115 normal healthy adults and comprised of 57 male and 58 female volunteers. All persons were born in Taiwan and were of Han nationality. The age range was18-35 years. The features of this study are ridge count, ridge density, and finger size, all three of which can easily be determined by counting and calculation. Experimental results show that the tested ridge density features alone are not very effective for gender determination. However, the proposed ridge count and finger size features of left little fingers are useful, achieving a classification accuracy of 75% (P-value<0.001) and 79% (P-value<0.001), respectively. The best classification result of 86% accuracy is obtained by using ridge count and finger size features together. This paper closes with a discussion of possible future research directions.

Research paper thumbnail of Determining the Association Between Dermatoglyphics and Schizophrenia by Using Fingerprint Asymmetry Measures

International Journal of Pattern Recognition and Artificial Intelligence, 2008

Early detection and intervention strategies for schizophrenia are receiving increasingly more att... more Early detection and intervention strategies for schizophrenia are receiving increasingly more attention. Dermatoglyphic patterns, such as the degree of asymmetry of the fingerprints, have been hypothesized to be indirect measures for early abnormal developmental processes that can lead to later psychiatric disorders such as schizophrenia. However, previous results have been inconsistent in trying to establish the association between dermatoglyphics and schizophrenia. The goal of this work is to try to resolve this problem by borrowing well-developed techniques from the field of fingerprint matching. Two dermatoglyphic asymmetry measures are proposed that draw on the orientation field of homologous fingers. To test the capability of these measures, fingerprint images were acquired digitally from 40 schizophrenic patients and 51 normal individuals. Based on these images, no statistically significant association between conventional dermatoglyphic asymmetry measures and schizophrenia was found. In contrast, the sample means of the proposed measures consistently identified the patient group as having a higher degree of asymmetry than the control group. These results suggest that the proposed measures are promising for detecting the dermatoglyphic patterns that can differentiate the patient and control groups.

Research paper thumbnail of EEG arousal prediction via hypoxemia indicator in patients with Obstructive Sleep Apnea Syndrome

Internet Journal of Medical Update - EJOURNAL, 2009

Research paper thumbnail of A neural network-based diagnostic method for solitary pulmonary nodules

Neurocomputing, 2008

ABSTRACT Several computer-aided diagnostic (CAD) methods for solitary pulmonary nodules (SPNs) ha... more ABSTRACT Several computer-aided diagnostic (CAD) methods for solitary pulmonary nodules (SPNs) have been proposed, which can be divided into two major categories: (1) the morphometric CT method, depending on high-resolution morphometric characteristics from single CT scan and (2) the perfusion CT method, depending on properties of the post-contrast enhancement dynamics obtained from repeated CT scans at predefined time points. The goal of this work is to introduce a neural network-based CAD method of lung nodule diagnosis by combining morphometry and perfusion characteristics by perfusion CT. Compared with previous methods, the proposed approach has the following distinctive features. Firstly, this work develops a very efficient semi-automatic procedure to segment entire nodules. Secondly, reliable nodule classification can be achieved by using only two time-point perfusion CT feature measures (precontrast and 90 s). This greatly reduces the amount of radiation exposure to patients and the data processing time. The effectiveness of the proposed approach is compared with those of several previously developed CAD methods.

Research paper thumbnail of A Novel Delay-Dependent Criterion for Time-Delay T-S Fuzzy Systems Using Fuzzy Lyapunov Method

International Journal on Artificial Intelligence Tools, 2007

Research paper thumbnail of A comparative study for 2D and 3D computer-aided diagnosis methods for solitary pulmonary nodules

Computerized Medical Imaging and Graphics, 2008

Many computer-aided diagnosis (CAD) methods, including 2D and 3D approaches, have been proposed f... more Many computer-aided diagnosis (CAD) methods, including 2D and 3D approaches, have been proposed for solitary pulmonary nodules (SPNs). However, the detection and diagnosis of SPNs remain challenging in many clinical circumstances. One goal of this work is to investigate the relative diagnostic accuracy of 2D and 3D methods. An additional goal is to develop a two-stage approach that combines the simplicity of 2D and the accuracy of 3D methods. The experimental results show statistically significant differences between the diagnostic accuracy of 2D and 3D methods. The results also show that with a very minor drop in diagnostic performance the two-stage approach can significantly reduce the number of nodules needed to be processed by the 3D method, streamlining the computational demand.

Research paper thumbnail of Comparison of the Indices of Oxyhemoglobin Saturation by Pulse Oximetry in Obstructive Sleep Apnea Hypopnea Syndrome

CHEST Journal, 2009

Objectives: To comprehensively evaluate the ability and reliability of the representative previou... more Objectives: To comprehensively evaluate the ability and reliability of the representative previously proposed oxyhemoglobin indexes derived automatically for predicting the severity of obstructive sleep apnea hypopnea syndrome (OSAHS). Methods: Patients with a diagnosis of OSAHS by standard polysomnography were recruited from China Medical University Hospital Centre. There were 257 patients in the learning set and 279 patients in the validation set. The presence of OSAHS was defined as apnea-hypopnea index (AHI) > 5/h. Three kinds of oxyhemoglobin indexes, including the oxyhemoglobin desaturation index (ODI), time-domain index, and frequency-domain index, were used. Degrees of severity were AHI > 15/h and AHI > 30/h, representing moderate and severe OSAHS. A total of 28 oxyhemoglobin indexes were tested in our study. Results: Among the three kinds of indexes, ODI had a better diagnostic performance than the time-domain and frequency-domain indexes, with the results coincident in the validation set and learning set. For predicting the severity of OSAHS with AHI > 15/h or > 30/h, the ODI clinically had the higher correlation with AHI than time-domain and frequency-domain indexes, with sensitivity/specificity achieving 84.0%/84.3% in AHI > 15/h and 87.8%/96.6% in AHI > 30/h, respectively. Conclusions: Based on the smaller SEE of the AHI, the ODI had a significantly smaller SEE than the time-domain and frequency-domain indexes. The ODI index provided a high level of diagnostic sensitivity and specificity at different degrees of OSAHS severity. (CHEST 2009; 135:86 -93) Key words: apnea hypopnea index; obstructive sleep apnea hypopnea syndrome; polysomnography; pulse oximetry Abbreviations: AHI ϭ apnea-hypopnea index; AUC ϭ area under the receiver operating characteristic curve; ⌬Index ϭ ⌬ index; FFT ϭ fast-Fourier transformation; NPV ϭ negative predictive value; ODI ϭ oxyhemoglobin desaturation index; OSAHS ϭ obstructive sleep apnea hypopnea syndrome; PPV ϭ positive predictive value; ROC ϭ receiver operating characteristic; S30 -70 ϭ ratio of the area enclosed in the periodogram within the period 30 to 70 s; Spo 2 ϭ oxyhemoglobin saturation by pulse oximetry Original Research

Research paper thumbnail of A psychometric assessment of the St. George’s respiratory questionnaire in patients with COPD using rasch model analysis

Health and Quality of Life Outcomes, 2015

The St. George&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;am... more The St. George&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s Respiratory Questionnaire (SGRQ) was a widely used tool to assess disease impact on patients with obstructive airways disease. Although traditional methods have generally supported construct validity and internal consistency reliability of SGRQ, such methods cannot facilitate the evaluation of whether items are equivalent to different individuals. The purpose of this study is to rigorously examine the psychometric properties of the SGRQ in patients with chronic obstructive pulmonary disease (COPD) using Rasch model analysis. A methodological research was conducted on SGRQ in a sample of 240 male patients with COPD recruited from the outpatient services in Central Taiwan. The psychometric properties of the SGRQ were examined using Rasch model analysis with a mixed rating scale and partial credit mode by Winsteps software. The level of matching between the item&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s difficulty and person&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s ability was analyzed by item-person targeting as well as ceiling and floor effects. Item-person maps were also examined for checking the location of the item&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s difficulty and person&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s measures along the same scale. Finally, the differential item functioning (DIF) was examined to measure group equivalence associated with age and disease&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s severity. Each of the three domains (Symptom, Activity, Impact) of the SGRQ was found to be unidimensionality. The person separation index ranged from 1.21 (Symptom domain) to 2.50 (Activity domain). There was a good targeting for the SGRQ domains, except the Impact domain (1.36). The percentage of ceiling and floor effects were below 10%, except the ceiling effect in the Impact domain (26.25%). From item-person maps, gaps of location of item corresponded to patient&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s ability were identified. The results have also showed that many items in SGRQ revealed age or severity related DIF. Except the Symptom domain of SGRQ, the others have a reliabile internal consistency and a good hierarchical structure. The results of Rasch model analysis can highlight aspects for scale improvement, such as gap, duplicate items or scale responses. There was some age or severity related DIF indicating somewhat unstable across different characteristics of group. IRB No.: DMR94-IRB-179.