A machine learning-based framework for Predicting Treatment Failure in tuberculosis: A case study of six countries-Reference-Cited by-同舟云学术

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A machine learning-based framework for Predicting Treatment Failure in tuberculosis: A case study of six countries

Published:2020-07 Issue: Volume:123 Page:101944
ISSN:1472-9792
Container-title:Tuberculosis
language:en
Short-container-title:Tuberculosis

Author:

Asad Muhammad,Mahmood Azhar,Usman Muhammad

Funder

Predictive Analytics

National Center in Big Data and Cloud Computing

Publisher

Elsevier BV

Subject

Infectious Diseases,Microbiology (medical),Immunology,Microbiology

Reference40 articles.

1. Artificial intelligence in diagnosing tuberculosis: a review;Meraj;Int J Adv Sci Eng Inf Technol,2019

2. Public health surveillance: a tool for targeting and monitoring interventions;Nsubuga,2006

3. Tuberculosis prevalence surveys: a handbook,2011

4. “Tuberculosis – still a major health problem;Hershfield;Can J Infect Dis,1991

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