Screening for active pulmonary tuberculosis: Development and applicability of artificial neural network models-Reference-Cited by-同舟云学术

Screening for active pulmonary tuberculosis: Development and applicability of artificial neural network models

Published:2018-07 Issue: Volume:111 Page:94-101
ISSN:1472-9792
Container-title:Tuberculosis
language:en
Short-container-title:Tuberculosis

Author:

Souza Filho João Baptista de Oliveira e,Sanchez Mauro,Seixas José Manoel de,Maidantchik Carmen^ORCID,Galliez Rafael,Moreira Adriana da Silva Rezende,da Costa Paulo Albuquerque,Oliveira Martha Maria,Harries Anthony David,Kritski Afrânio Lineu

Funder

Instituto Nacional de Ciência e Tecnologia

FAPERJ

CNPq

Publisher

Elsevier BV

Subject

Infectious Diseases,Microbiology (medical),Immunology,Microbiology

Reference46 articles.

1. 2017. Global tuberculosis report 2016;WHO,2017

2. Defining the needs for next-generation assays for tuberculosis;Denkinger;J Infect Dis,2015

3. Secretary of health surveillance. National control tuberculosis program;Brazilian Ministry of Health;Epidemiol Bull,2016

4. Secretary of health surveillance. National control tuberculosis program. Recommendation manual for Tuberculosis control in Brazil;Brazilian Ministry of Health,2011

5. Revised national tuberculosis control program in India: the need to strengthen;Verma;Int J Prev Med,2013

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection and Prognosis of Pulmonary Tuberculosis Using ML Classifiers with Soft Computing;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

2. Supervised Machine Learning Methods for Seasonal Influenza Diagnosis;Diagnostics;2023-10-31

3. A prior knowledge-informed traceableNeutral Network modeling only using regular laboratory results to assist early diagnosis for tuberculosis: a multiple-center study in China;2022-12-29

4. Population-based active screening strategy contributes to the prevention and control of tuberculosis;Journal of Zhejiang University (Medical Sciences);2022-12-01

5. Clinical, laboratory, and radiographic aspects of patients with pulmonary tuberculosis and dysglycemia and tuberculosis treatment outcomes;Jornal Brasileiro de Pneumologia;2022-11-08