Artificial neural network to predict the effect of obesity on the risk of tuberculosis infection
Background: Body weight has been implicated as a risk factor for latent tuberculosis infection (LTBI) and the active disease. Design and Methods: This study aimed to develop artificial neural network (ANN) models for predicting LTBI from body weight and other host-related disease risk factors. We us...
Main Authors: | Alaa Badawi, Christina J. Liu, Anas A. Rehim, Alind Gupta |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2021-03-01
|
Series: | Journal of Public Health Research |
Subjects: | |
Online Access: | https://www.jphres.org/index.php/jphres/article/view/1985 |
Similar Items
-
Prediction of multidrug-resistant tuberculosis in tuberculosis patients using perceptron artificial neural networks model
by: Mehdi Kazempour Dizaji, et al.
Published: (2023-04-01) -
Modeling the survival of patients with tuberculosis based on the model of artificial neural networks
by: Mehdi Kazempour Dizaji, et al.
Published: (2022-08-01) -
Application of artificial neural network model in studying the mechanism of disease relapse event in patients with tuberculosis
by: Mehdi Kazempour Dizaji, et al.
Published: (2022-11-01) -
EVALUATION OF DIAGNOSTIC ACCURACY OF THE SYSTEM FOR PULMONARY TUBERCULOSIS SCREENING BASED ON ARTIFICIAL NEURAL NETWORKS
by: S. P. Morozov, et al.
Published: (2018-09-01) -
Diagnosis of Obesity and Hypertension in Isfahani Students Using Artificial Neural Network
by: Mohammad Dehghandar, et al.
Published: (2021-06-01)