DEPARTMENT OF COMPUTER ENGINEERING
CSE 590 COURSE SEMINAR
AI in Healthcare: Explainability and Reliability with LIME and SHAP
Ecem Cansın HAKKO
Date & Time: Monday, January 13, 2025, 17:00
Place: https://meet.google.com/ovx-cpww-ath
All interested are cordially invited.
ABSTRACT
The exposome, which represents the total environmental exposures individuals face throughout their lifetime, has profound implications for human health, including immune system function. While the effect of the exposome on health has been widely explored, there is a lack of research on applying advanced machine learning techniques, particularly explainable AI (XAI) methods like LIME (Local Interpretable Model-agnostic Explanations) and SHAP (SHapley Additive exPlanations), to study its impact on the immune system. This study seeks to bridge this gap by utilizing LIME and SHAP to enhance the interpretability of machine learning models in exposome-related health research. LIME simplifies complex models to approximate individual predictions, helping to understand the local behavior of the model, while SHAP provides a unified approach to feature importance, explaining how each feature contributes to a specific prediction. These methods have been widely applied in health research, particularly for interpreting complex, high-dimensional data such as genomics, clinical data, and environmental exposures. By leveraging LIME and SHAP, this research aims to explore and interpret the intricate relationships between environmental factors and immune system responses. Ultimately, the study will offer deeper insights into how environmental exposures influence immune health using LIME and SHAP methods.
BIOGRAPHY
Ecem Cansın Hakko is a M.Sc. student at Computer Engineering Program of Yeditepe University. She graduated from Industrial Engineering Dept, Yeditepe University in 2023 and Computer Engineering Dept, Yeditepe University in 2023. She has been working as a software developer for about two years. She focuses on web development. After her completion of MSc., she plans to continue her career as a software developer and at Yeditepe University, İstanbul as a PhD student.
