Explainable AI

Explainable Counterfactual Reasoning in Depression Medication Selection at Multi-Levels (Personalized and Population)

This paper uses SHAP and counterfactual explanation to analyze dementia risk in diabetic and non-diabetic populations..

Xinyu Qin, Lu Wang, Martin Katzman

Personalized and Population-Level Explainable AI for Dementia Risk Analysis and Intervention Strategies in Aging Diabetic and Non-Diabetic Populations

This paper uses SHAP and counterfactual explanation to analyze dementia risk in diabetic and non-diabetic populations..

Lu Wang, Ruiheng Yu, Lola Adepoju, Winston Liaw

Interactive & Explainable Survival Analysis

Developing interactive and explainable algorithms for survival analysis with applications in equipment failure prediction, customer churn analytics, risk forecasting, and patient outcome modeling.

Dec 1, 2024 1 min read Research

Interactive & Explainable Survival Analysis

Using Interpretable Survival Analysis to Assess Hospital Length of Stay

This paper assesses hospital length of stay using interpretable survival analysis.

Lu Wang, Yan Li, Mark Chignell, Trevor Hall, Fahad Razak, Amol Verma