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Prediction of tuberculosis cases based on sociodemographic and environmental factors in gombak, Selangor, Malaysia: A comparative assessment of multiple linear regression and artificial neural network models

Background: Early prediction of tuberculosis (TB) cases is very crucial for its prevention and control. This study aims to predict the number of TB cases in Gombak based on sociodemographic and environmental factors. Methods: The sociodemographic data of 3325 TB cases from January 2013 to December 2...

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Tallennettuna:
Päätekijät: Nur Adibah Mohidem, Malina Osman, Farrah Melissa Muharam, Saliza Mohd Elias, Rafiza Shaharudin, Zailina Hashim
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Wolters Kluwer Medknow Publications 2021-01-01
Sarja:International Journal of Mycobacteriology
Aiheet:
artificial neural network
multiple linear regression
prediction
tuberculosis
Linkit:http://www.ijmyco.org/article.asp?issn=2212-5531;year=2021;volume=10;issue=4;spage=442;epage=456;aulast=Mohidem
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