Newborn Screening for Phenylketonuria: Machine Learning vs Clinicians. - Wei-Hsin Chen; Han-Ping Chen; Yi-Ju Tseng; Kai-Ping Hsu; Sheau-Ling Hsieh; Yin-Hsiu Chien; Wuh-Liang Hwu; Feipei Lai (ASONAM, 2012)

A Reliable User Authentication and Key Agreement Scheme for Web-Based Hospital-Acquired Infection Surveillance Information System. - Zhen Yu Wu; Yi-Ju Tseng; Yu-Fang Chung; Yee-Chun Chen; Feipei Lai (J. Medical Syst., 2012)

Rule-Based Healthcare-Associated Bloodstream Infection Classification and Surveillance System. - Yi-Ju Tseng; Jung-Hsuan Wu; Hui-Chi Lin; Hsiang-Ju Chiu; Bo-Chiang Huang; Rung-Ji Shang; Ming-Yuan Chen; Wei-Hsin Chen; Huai-Te Chen; Feipei Lai; Yee-Chun Chen (EFMI-STC, 2013)

Multiple Time Series Data Processing for Classification with Period Merging Algorithm. - Wei-Ti Su; Xiao-Ou Ping; Yi-Ju Tseng; Feipei Lai (EUSPN/ICTH, 2014)

Missing Value Imputation on Multiple Measurements for Prediction of Liver Cancer Recurrence: A Comparative Study. - Xiao-Ou Ping; Yi-Ju Tseng; Ja-Der Liang; Guan-Tarn Huang; Pei-Ming Yang; Feipei Lai (ICS, 2014)

Recurrence predictive models for patients with hepatocellular carcinoma after radiofrequency ablation using support vector machines with feature selection methods. - Ja-Der Liang; Xiao-Ou Ping; Yi-Ju Tseng; Guan-Tarn Huang; Feipei Lai; Pei-Ming Yang (Comput. Methods Programs Biomed., 2014)

A multiple measurements case-based reasoning method for predicting recurrent status of liver cancer patients. - Xiao-Ou Ping; Yi-Ju Tseng; Yan-Po Lin; Hsiang-Ju Chiu; Feipei Lai; Ja-Der Liang; Guan-Tarn Huang; Pei-Ming Yang (Comput. Ind., 2015)

Multiple-Time-Series Clinical Data Processing for Classification With Merging Algorithm and Statistical Measures. - Yi-Ju Tseng; Xiao-Ou Ping; Ja-Der Liang; Pei-Ming Yang; Guan-Tarn Huang; Feipei Lai (IEEE J. Biomed. Health Informatics, 2015)

Diagnostic Journeys of Patients Evaluated for Lyme Disease and Given Extended Antibiotic Therapy. - Yi-Ju Tseng; Alfred DeMaria; Donald A. Goldmann; Kenneth D. Mandl (AMIA, 2016)

Predicting post-stroke activities of daily living through a machine learning-based approach on initiating rehabilitation. - Wan-Yin Lin; Chun-Hsien Chen; Yi-Ju Tseng; Yu-Ting Tsai; Ching-Yu Chang; Hsin-Yao Wang; Chih-Kuang Chen (Int. J. Medical Informatics, 2018)

Predicting breast cancer metastasis by using serum biomarkers and clinicopathological data with machine learning technologies. - Yi-Ju Tseng; Chuan-En Huang; Chiao-Ni Wen; Po-Yin Lai; Min-Hsien Wu; Yu-Chen Sun; Hsin-Yao Wang; Jang-Jih Lu (Int. J. Medical Informatics, 2019)

Machine Learning Based Risk Prediction Models for Oral Squamous Cell Carcinoma Using Salivary Biomarkers. - Yi-Cheng Wang; Pei-Chun Hsueh; Chih-Ching Wu; Yi-Ju Tseng (MIE, 2021)

Machine-learning-based predictions of direct-acting antiviral therapy duration for patients with hepatitis C. - Theodore C. Feldman; Jules L. Dienstag; Kenneth D. Mandl; Yi-Ju Tseng (Int. J. Medical Informatics, 2021)

dxpr: an R package for generating analysis-ready data from electronic health records - diagnoses and procedures. - Yi-Ju Tseng; Hsiang-Ju Chiu; Chun Ju Chen (PeerJ Comput. Sci., 2021)

Performance vs. Privacy: Evaluating the Performance of Predicting Second Primary Cancer in Lung Cancer Survivors with Privacy-preserving Approaches. - Jui-Fu Hong; Yi-Ju Tseng (BHI, 2022)

International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. - Griffin M. Weber; Chuan Hong; Zongqi Xia; Nicolas Paris; Miguel Pedrera-Jiménez; Ashley C. Pfaff; Emily R. Pfaff; Danielle Pillion; Sara Pizzimenti; Hans-Ulrich Prokosch; Robson A. Prudente; Andrea Prunotto; et al. (npj Digit. Medicine, 2022)

Temporal Phenotype Matrix Engineering for Electronic Health Records - Enhancing Coronary Artery Disease Prediction. - Kuan-Hui Liu; Cheng-Yu Chiang; Hsin-Yao Wang; Yi-Ju Tseng (BHI, 2023)

MoCab: A Model Management System Based on FHIR for Clinical Decision Support. - Zhe-Ming Kuo; Yi-Ju Tseng (MedInfo, 2023)

Self-supervised based general laboratory progress pretrained model for cardiovascular event detection. - Li-Chin Chen; Kuo-Hsuan Hung; Yi-Ju Tseng; Hsin-Yao Wang; Tse-Min Lu; Wei-Chieh Huang; Yu Tsao 001 (CoRR, 2023)

Engaging a national-scale cohort of smart thermometer users in participatory surveillance. - Yi-Ju Tseng; Karen L. Olson; Danielle Bloch; Kenneth D. Mandl (npj Digit. Medicine, 2023)

lab: an R package for generating analysis-ready data from laboratory records. - Yi-Ju Tseng; Chun Ju Chen; Chia Wei Chang (PeerJ Comput. Sci., 2023)

Graph-Based Temporal Attention for Coronary Artery Disease Prediction Using Electronic Health Records. - Kun-Wei Lin; Kuan-Hui Liu; Hsin-Yao Wang; Yi-Ju Tseng (ICS, 2024)

Identifying heterogeneous subgroups of systemic autoimmune diseases by applying a joint dimension reduction and clustering approach to immunomarkers. - Chia-Wei Chang; Hsin-Yao Wang; Wan-Ying Lin; Yu-Chiang Wang; Wei-Lin Lo; Ting-Wei Lin; Jia-Ruei Yu; Yi-Ju Tseng (BioData Min., 2024)

MoCab: A framework for the deployment of machine learning models across health information systems. - Zhe-Ming Kuo; Kuan-Fu Chen; Yi-Ju Tseng (Comput. Methods Programs Biomed., 2024)

The Pareto type I joint frailty-copula model for clustered bivariate survival data. - Yuan-Hsin Lin; Li-Hsien Sun; Yi-Ju Tseng; Takeshi Emura (Commun. Stat. Simul. Comput., 2024)