Leveraging machine learning for predictive analysis of tuberculosis treatment outcomes: A comprehensive study using Karnataka TB data

Author:

Chinagudaba Seshasai Nath,Gera Darshan,Vamsi Dasu Krishna KiranORCID,Shankar S Uma,K Kiran,Singarajpure Anil,U Shivayogappa,N Somashekar,Kumar Chadha Vineet,B N SharathORCID

Publisher

Elsevier BV

Reference30 articles.

1. Ministry of Health and Family Welfare, India TB report 2023, Ministry of Health and Family Welfare(2023). https://tbcindia.gov.in/showfile.php?lid=3680.

2. The Hindu TB: Karnataka’s Public Notifications Dropped by Nearly 4% Last Year Compared to 2022,2023

3. What is Machine Learning in Health Care?;Coursera,2023

4. Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes;Kheirandish;J. Am. Med. Inf.Assoc.,2022

5. Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults;Peetluk;BMJ Open,2021

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