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Predicting Treatment Adherence of Tuberculosis Patients at Scale. (arXiv:2211.02943v1 [cs.LG])
Nov. 8, 2022, 2:11 a.m. | Mihir Kulkarni, Satvik Golechha, Rishi Raj, Jithin Sreedharan, Ankit Bhardwaj, Santanu Rathod, Bhavin Vadera, Jayakrishna Kurada, Sanjay Mattoo, Rajen
cs.LG updates on arXiv.org arxiv.org
Tuberculosis (TB), an infectious bacterial disease, is a significant cause of
death, especially in low-income countries, with an estimated ten million new
cases reported globally in $2020$. While TB is treatable, non-adherence to the
medication regimen is a significant cause of morbidity and mortality. Thus,
proactively identifying patients at risk of dropping off their medication
regimen enables corrective measures to mitigate adverse outcomes. Using a proxy
measure of extreme non-adherence and a dataset of nearly $700,000$ patients
from four states …
More from arxiv.org / cs.LG updates on arXiv.org
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