Predictive Analysis of Tuberculosis Treatment Outcomes Using Machine Learning: A Karnataka TB Data Study at a Scale

arXiv:2403.08834v1 Announce Type: new
Abstract: Tuberculosis (TB) remains a global health threat, ranking among the leading causes of mortality worldwide. In this context, machine learning (ML) has emerged as a transformative force, providing innovative solutions to the complexities associated with TB treatment.This study explores how machine learning, especially with tabular data, can be used to predict Tuberculosis (TB) treatment outcomes more accurately. It transforms this prediction task into a binary classification problem, generating risk scores from patient data sourced from …

abstract analysis arxiv complexities context cs.ai cs.lg data global global health health karnataka machine machine learning mortality predictive predictive analysis ranking scale solutions study threat treatment tuberculosis type