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Hsin-Yao Wang
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2020 – today
- 2023
- [j8]Zhuo Wang, Yuxuan Pang, Chia-Ru Chung, Hsin-Yao Wang, Haiyan Cui, Ying-Chih Chiang, Jorng-Tzong Horng, Jang-Jih Lu, Tzong-Yi Lee:
A risk assessment framework for multidrug-resistant Staphylococcus aureus using machine learning and mass spectrometry technology. Briefings Bioinform. 24(6) (2023) - [c2]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: 1-4 - [i1]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 abs/2303.06980 (2023) - 2022
- [j7]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: 105362 (2022) - 2021
- [j6]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)
2010 – 2019
- 2019
- [j5]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. 20-S(19): 703 (2019) - [j4]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: 79-86 (2019) - 2018
- [j3]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: 159-164 (2018) - [j2]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): 1347-1360 (2018) - 2017
- [j1]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): 125-141 (2017) - 2013
- [c1]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: 45-48
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