Hsin-Yao Wang

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 10

Top Topics

Mass Spectrometry

Coronary Artery

Machine Learning

Top Venues

Briefings Bioinform.

Int. J. Medical Informatics

J. Comput. Biol.

Publications

Kuan-Hui Liu, Cheng-Yu Chiang, Hsin-Yao Wang, Yi-Ju Tseng
Temporal Phenotype Matrix Engineering for Electronic Health Records - Enhancing Coronary Artery Disease Prediction. BHI (2023)
Li-Chin Chen, Kuo-Hsuan Hung, Yi-Ju Tseng, Hsin-Yao Wang, Tse-Min Lu, Wei-Chieh Huang, Yu Tsao
Self-supervised based general laboratory progress pretrained model for cardiovascular event detection. CoRR (2023)
Zhuo Wang, Yuxuan Pang, Chia-Ru Chung, Hsin-Yao Wang, Haiyan Cui, Ying-Chih Chiang, Jorng-Tzong Horng, Jang-Jih Lu, Tzong-Yi Lee
using machine learning and mass spectrometry technology. Briefings Bioinform. 24 (6) (2023)
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, Ziwei Wang, Jiming Zhou, Yonghong Wang
Long short-term memory model - A deep learning approach for medical data with irregularity in cancer predication with tumor markers. Comput. Biol. Medicine 144 (2022)
Hsin-Yao Wang, Chia-Ru Chung, Zhuo Wang, Shangfu Li, Bo-Yu Chu, Jorng-Tzong Horng, Jang-Jih Lu, Tzong-Yi Lee
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. Briefings Bioinform. 22 (3) (2021)
Yi-Ju Tseng, Chuan-En Huang, Chiao-Ni Wen, Po-Yin Lai, Min-Hsien Wu, Yu-Chen Sun, Hsin-Yao Wang, Jang-Jih Lu
Predicting breast cancer metastasis by using serum biomarkers and clinicopathological data with machine learning technologies. Int. J. Medical Informatics 128 (2019)
Hsin-Yao Wang, Wen-Chi Li, Kai-Yao Huang, Chia-Ru Chung, Jorng-Tzong Horng, Jen-Fu Hsu, Jang-Jih Lu, Tzong-Yi Lee
Rapid classification of group B Streptococcus serotypes based on matrix-assisted laser desorption ionization-time of flight mass spectrometry and machine learning techniques. BMC Bioinform. (19) (2019)
Wan-Yin Lin, Chun-Hsien Chen, Yi-Ju Tseng, Yu-Ting Tsai, Ching-Yu Chang, Hsin-Yao Wang, Chih-Kuang Chen
Predicting post-stroke activities of daily living through a machine learning-based approach on initiating rehabilitation. Int. J. Medical Informatics 111 (2018)
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
Machine Learning-Based Method for Obesity Risk Evaluation Using Single-Nucleotide Polymorphisms Derived from Next-Generation Sequencing. J. Comput. Biol. 25 (12) (2018)
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
Investigation and identification of protein carbonylation sites based on position-specific amino acid composition and physicochemical features. BMC Bioinform. 18 (S-3) (2017)
Yi-Yuan Chiu, Wan-Ying Lin, Hsin-Yao Wang, Song-Bin Huang, Min-Hsien Wu
Development of a piezoelectric polyvinylidene fluoride polymer-based sensor patch for simultaneous heartbeat and respiration monitoring. NEMS (2013)