Author

Yin-Syuan Chen

Institutions: Metal Industries Research & Development Centre, National Kaohsiung University of Science and Technology

Observed institutions: Metal Industries Research & Development Centre, National Kaohsiung University of Science and Technology

ORCID: 0000-0001-7599-5207

Observed ORCID: 0000-0001-7599-5207

OpenAlex ID: A5014582013

Machine learning approaches for the mortality risk assessment of patients undergoing hemodialysis

2022 · Cheng-Hong Yang, Yin-Syuan Chen, et al. · Therapeutic Advances in Chronic Disease · 13

Application of deep learning to predict the low serum albumin in new hemodialysis patients

2023 · Cheng-Hong Yang, Yin-Syuan Chen, et al. · Nutrition & Metabolism · 8

Identifying the Association of Time-Averaged Serum Albumin Levels with Clinical Factors among Patients on Hemodialysis Using Whale Optimization Algorithm

2022 · Cheng-Hong Yang, Yin-Syuan Chen, et al. · Mathematics · 3

Identification of Kidney Clear Cell Carcinoma Mortality Risk-Associated Gene Mutation by Using a Random Survival Forest Approach

2020 · Cheng-Hong Yang, Yin-Syuan Chen, et al. · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · 1

Analysis and Simulation of Temperature Control in an Indirect Combustion Furnace Using an Auxiliary Fan

2025 · Ke-Han Su, Yi-Chia Liu, et al. · International Conference on Automation Technology (Automation)

Multifactor model for the association between time-averaged serum albumin and clinical factors of hemodialysis patients based on the whale optimization algorithm (Preprint)

2020 · Cheng-Hong Yang, Sin-Hua Moi, et al.

Works count: 6

Citation count: 25

H-index: 3

I10-index: 1