Fast and Interpretable Mortality Risk Scores for Critical Care Patients

1 code implementation • 21 Nov 2023 • Chloe Qinyu Zhu, Muhang Tian, Lesia Semenova, Jiachang Liu, Jack Xu, Joseph Scarpa, Cynthia Rudin

Both of these have disadvantages: black box models are unacceptable for use in hospitals, whereas manual creation of models (including hand-tuning of logistic regression parameters) relies on humans to perform high-dimensional constrained optimization, which leads to a loss in performance.

Reliable Generation of EHR Time Series via Diffusion Models

no code implementations • 23 Oct 2023 • Muhang Tian, Bernie Chen, Allan Guo, Shiyi Jiang, Anru R. Zhang

Electronic Health Records (EHRs) are rich sources of patient-level data, including laboratory tests, medications, and diagnoses, offering valuable resources for medical data analysis.

Denoising Privacy Preserving +1

Welfare and Fairness in Multi-objective Reinforcement Learning

1 code implementation • 30 Nov 2022 • Zimeng Fan, Nianli Peng, Muhang Tian, Brandon Fain

We study fair multi-objective reinforcement learning in which an agent must learn a policy that simultaneously achieves high reward on multiple dimensions of a vector-valued reward.

Fairness Multi-Objective Reinforcement Learning +2