2 papers
cs.LG2024
Understanding eGFR Trajectories and Kidney Function Decline via Large Multimodal Models
Chih-Yuan Li, Jun-Ting Wu, Chan Hsu +2
The estimated Glomerular Filtration Rate (eGFR) is an essential indicator of kidney function in clinical practice. Although traditional equations and Machine Learning (ML) models u…
stat.AP2021
Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning
Yihuang Kang, Yi-Wen Chiu, Ming-Yen Lin +2
Machine Learning (ML) and its applications have been transforming our lives but it is also creating issues related to the development of fair, accountable, transparent, and ethical…