3 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…
cs.LG2024
Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation
Chan Hsu, Jun-Ting Wu, Yihuang Kang
Understanding and inferencing Heterogeneous Treatment Effects (HTE) and Conditional Average Treatment Effects (CATE) are vital for developing personalized treatment recommendations…
cs.LG2023
Toward Transparent Sequence Models with Model-Based Tree Markov Model
Chan Hsu, Wei-Chun Huang, Jun-Ting Wu +2
In this study, we address the interpretability issue in complex, black-box Machine Learning models applied to sequence data. We introduce the Model-Based tree Hidden Semi-Markov Mo…