Search
 
loader loading subjects...
cover
A Conformal Prediction Approach to Enhance Predictive Accuracy and Confidence in Machine Learning Application in Chronic Diseases
Christina Papangelou, Thomas Chatzikonstantinou, Kostas Stamatopoulos, Anastasia Chatzidimitriou, Evangelia Minga
801 - 802
10.3233/SHTI240532
Research Article
Studies in Health Technology and Informatics
Volume 316: Digital Health and Informatics Innovations for Sustainable Health Care Systems
Abstract

Heterogeneity in chronic malignancies raises an increasing interest for the integration and study of predictive models. This study presents a machine learning model approach to predict outcomes and improve their trustworthiness in multi-factorial diseases with highly heterogeneous outcomes, like Chronic Lymphocytic Leukemia (CLL). We incorporated Conformal Prediction to quantify our models uncertainty, and generate confident personalized prediction outcomes that can be integrated into clinical practice.

Download
Creative Commons License