Yongsen Tan’s Personal Website

Yongsen Tan is a master’s student at the University of Manchester and an incoming PhD student at the Department of Biomedical Informatics and Medical Education, the University of Washington. His research interest broadly lies in AI for medicine.

He currently researches polypharmacy optimization in multimorbidity patients using case-based reasoning, supervised by Prof. Tjeerd van Staa. His work previously focused on disease subphenotyping in ICU settings with deep clustering techniques, advised by Dr. Xiaxia Yu.

Selected Publications

• Fine-grained subphenotypes in acute kidney injury populations based on deep clustering: derivation and interpretation
  Yongsen Tan*, Jiahui Huang*, Jinhu Zhuang, Haofan Huang, Mu Tian, Yong Liu, Ming Wu, Xiaxia Yu
  International Journal of Medical Informatics
  [Paper] [Code]
• Identifying acute kidney injury subphenotypes using an outcome-driven deep-learning approach
  Yongsen Tan*, Jiahui Huang*, Jinhu Zhuang, Haofan Huang, Song Jiang, Miaowen She, Mu Tian, Yong Liu, Xiaxia Yu
  Journal of Biomedical Informatics
  [Paper]
• Generalizable deep clustering based on Bi-LSTM with applications to sepsis and acute kidney disease populations
  Yongsen Tan*, Jiahui Huang*, Jinhu Zhuang, Yong Liu, Haofan Huang, Xiaxia Yu, Fusheng Wang
  2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  [Paper]
• Identification of Sepsis Subphenotypes Based on Bi-directional Long Short-Term Memory Auto-encoder Using Real-Time Laboratory Data Collected from Intensive Care Units
  Yongsen Tan*, Jiahui Huang*, Jinhu Zhuang, Haofan Huang, Yong Liu, Xiaxia Yu
  2022 China Health Information Processing Conference
  [Paper]

* These authors contributed equally to this work.