Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records

arXiv:2403.04086v1 Announce Type: new
Abstract: In the realm of big data and digital healthcare, Electronic Health Records (EHR) have become a rich source of information with the potential to improve patient care and medical research. In recent years, machine learning models have proliferated for analyzing EHR data to predict patients future health conditions. Among them, some studies advocate for multi-task learning (MTL) to jointly predict multiple target diseases for improving the prediction performance over single task learning. Nevertheless, current MTL …

abstract arxiv automated become big big data cs.lg data digital disease ehr electronic electronic health records health healthcare information machine machine learning machine learning models medical medical research multi-task learning patient patient care prediction records research type