Tuberculosis (TB) cases have increased drastically over the last two decades and it remains
as one of the deadliest infectious diseases in Malaysia. This cross-sectional study aimed to …

Abstract Machine learning models have emerged as an advanced tool for predicting
diseases and their outcomes. This study developed a machine learning model to predict the …

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 …

Introduction: Since 1992, many rounds of the National Family Health Surveys have
produced a significant quantity of data in India. The magnitude of the tuberculosis (TB) …

In the last few decades, public health surveillance has increasingly applied statistical
methods to analyze the spatial disease distributions. Nevertheless, contact tracing and …

Background: Drug-resistant tuberculosis is a burgeoning threat to public health requiring
novel strategies to combat the infection. Although national tuberculosis elimination programs …

Introduction: Since 1992, many rounds of the National Family Health Surveys have
produced a significant quantity of data in India. The magnitude of the tuberculosis (TB) …

Background: Tuberculosis remains a major global health problem and ranks along with the
human immunode ciency virus (HIV) as a leading cause of mortality worldwide. The aim of …

Introdução: Modelos para identificação de padrões usam correlações para predizer
desfechos de doenças. Se inseri nesse tema a Tuberculose (TB), uma doença infecciosa e …

Objective—to analyze the prospects of using artificial intelligence and neural networks to
create a geospatial model of TB transmission and forecast its spread in the WHO European …