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Hu Li Za Zhi the Journal of Nursing|June 1, 2022
[Using Social Prescribing to Practice Social Responsibility: A Case Study in the Taipei Medical University System]Yu-Da Chen
Biomolecular NMR Assignments|June 18, 2013
Backbone resonance assignments of the α sub-domain of Brevibacillus thermoruber Lon proteaseYu-Da Chen, Shih-Hsiung Wu, Chun-Hua Hsu
Acta Crystallographica. Section F, Structural Biology and Crystallization Communications|August 3, 2013
Crystallization and preliminary X-ray diffraction analysis of the α subdomain of Lon protease from Brevibacillus thermoruberYu-Da Chen, Yu-Yung Chang, Shih-Hsiung Wu, et al.
Journal of Biomedical Optics|May 17, 2017
Sensing of Streptococcus mutans by microscopic imaging ellipsometryMai Ibrahim Khaleel, Yu-Da Chen, Ching-Hang Chien, et al.
Applied Optics|August 12, 2025
Polarization beam splitter based on a double-groove slanted grating under normal incidenceYi-Han Wang, Jin Wang, Yu-da Chen, et al.
Nanophotonics (Berlin, Germany)|January 22, 2025
Auto-collimation diffraction of two-dimensional metal-dielectric grating with azimuth angle of 45°Yi-Han Wang, Jin Wang, Yu-Da Chen, et al.
Medicine|February 16, 2024
Specific patterns and potential risk factors to predict 3-year risk of death among non-cancer patients with advanced chronic kidney disease by machine learningTzu-Hao Chang, Yu-Da Chen, Henry Horng-Shing Lu, et al.
Risk Management and Healthcare Policy|January 14, 2025
Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning ApproachCheng-Sheng Yu, Jenny L Wu, Chun-Ming Shih, et al.
European Journal of Gastroenterology & Hepatology|April 27, 2021
Exploring and predicting mortality among patients with end-stage liver disease without cancer: a machine learning approachCheng-Sheng Yu, Yu-Da Chen, Shy-Shin Chang, et al.
Metabolites|July 29, 2023
Exploring the Potential Performance of Fibroscan for Predicting and Evaluating Metabolic Syndrome using a Feature Selected Strategy of Machine LearningKuan-Lin Chiu, Yu-Da Chen, Sen-Te Wang, et al.
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