An Interpretable and Generalizable Machine Learning Model for Predicting Asthma Outcomes: Integrating AutoML and Explainable AI Techniques

An Interpretable and Generalizable Machine Learning Model for Predicting Asthma Outcomes: Integrating AutoML and Explainable AI Techniques

Asthma remains a prevalent chronic condition, impacting millions globally and presenting significant clinical and economic challenges. This study develops a predictive model for asthma outcomes, leveraging automated machine learning (AutoML) and explainable AI (XAI) to balance high predictive accura...

Full description

Saved in:
Bibliographic Details
Main Authors: Salman Mahmood, Raza Hasan, Saqib Hussain, Rochak Adhikari
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:World
Subjects:
asthma prediction
machine learning
AutoML
explainable AI
SHAP
LIME
Online Access:https://www.mdpi.com/2673-4060/6/1/15
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2673-4060/6/1/15

Similar Items