Development of a piezoelectric polyvinylidene fluoride polymer-based sensor patch for simultaneous heartbeat and respiration monitoring. - Yi-Yuan Chiu; Wan-Ying Lin; Hsin-Yao Wang; Song-Bin Huang; Min-Hsien Wu (NEMS, 2013)

Investigation and identification of protein carbonylation sites based on position-specific amino acid composition and physicochemical features. - Shun-Long Weng; Kai-Yao Huang; Fergie Joanda Kaunang; Chien-Hsun Huang; Hui-Ju Kao; Tzu-Hao Chang; Hsin-Yao Wang; Jang-Jih Lu; Tzong-Yi Lee (BMC Bioinform., 2017)

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)

Machine Learning-Based Method for Obesity Risk Evaluation Using Single-Nucleotide Polymorphisms Derived from Next-Generation Sequencing. - Hsin-Yao Wang; Shih-Cheng Chang; Wan-Ying Lin; Chun-Hsien Chen; Szu-Hsien Chiang; Kai-Yao Huang; Bo-Yu Chu; Jang-Jih Lu; Tzong-Yi Lee (J. Comput. Biol., 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)

Rapid classification of group B Streptococcus serotypes based on matrix-assisted laser desorption ionization-time of flight mass spectrometry and machine learning techniques. - Hsin-Yao Wang; Wen-Chi Li; Kai-Yao Huang; Chia-Ru Chung; Jorng-Tzong Horng; Jen-Fu Hsu; Jang-Jih Lu; Tzong-Yi Lee (BMC Bioinform., 2019)

A large-scale investigation and identification of methicillin-resistant Staphylococcus aureus based on peaks binning of matrix-assisted laser desorption ionization-time of flight MS spectra. - Hsin-Yao Wang; Chia-Ru Chung; Zhuo Wang; Shangfu Li; Bo-Yu Chu; Jorng-Tzong Horng; Jang-Jih Lu; Tzong-Yi Lee (Briefings Bioinform., 2021)

Long short-term memory model - A deep learning approach for medical data with irregularity in cancer predication with tumor markers. - Xiaoxing Wu; Hsin-Yao Wang; Peichang Shi; Rong Sun; Xiaolin Wang; Zhixiao Luo; Fanling Zeng; Michael S. Lebowitz; Wan-Ying Lin; Jang-Jih Lu; Richard Scherer; Olivia Price; et al. (Comput. Biol. 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)

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)

A risk assessment framework for multidrug-resistant Staphylococcus aureus using machine learning and mass spectrometry technology. - Zhuo Wang; Yuxuan Pang; Chia-Ru Chung; Hsin-Yao Wang; Haiyan Cui; Ying-Chih Chiang; Jorng-Tzong Horng; Jang-Jih Lu; Tzong-Yi Lee (Briefings Bioinform., 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)