Machine-learning model for classification of the prognosis of tuberculosis using real data from brazil

MHLF Da Silva, VDS Sampaio… - 2023 18th Iberian …, 2023 - ieeexplore.ieee.org
Tuberculosis (TB) was for many years, until the arrival of COVID-19, the world's leading
cause of death from an infectious agent. Despite efforts by the World Health organization …

Preliminary results to predict tuberculosis outcomes applying traditional and automated machine learning models

AC de Andrade Mioto, MT Mozini… - Procedia Computer …, 2023 - Elsevier
Tuberculosis (TB) remains one of the most lethal infectious diseases in the world and,
despite being preventable and curable, kills 4.500 people daily, according to the World …

Benchmarking machine learning models to assist in the prognosis of tuberculosis

MH Lino Ferreira da Silva Barros, G Oliveira Alves… - Informatics, 2021 - mdpi.com
Tuberculosis (TB) is an airborne infectious disease caused by organisms in the
Mycobacterium tuberculosis (Mtb) complex. In many low and middle-income countries, TB …

Artificial Neural Networks (ANN) To Predict Pulmonary Tuberculosis Diagnosis in Hospitals in Rio De Janeiro, Brazil.

FS Aguiar, JB Souza Filho, AP Vieira… - B48. DIAGNOSIS OF …, 2009 - atsjournals.org
Tuberculosis (TB) endangers all individuals irrespective of country of origin, especially in
developing nations. Environments such as hospitals have an established relationship with …

Clinical Pathways and Hierarchical Clustering for Tuberculosis Treatment Outcome Prediction

VH Yamaguti, A Freitas, AC Apunike, RPCL Rijo… - Procedia Computer …, 2023 - Elsevier
Clinical pathways are chronological event series that happen throughout a patient's
treatment. They can be extracted from the Electronic Health Record medical information and …

Predicting treatment outcome of drug-susceptible tuberculosis patients using machine-learning models

OA Hussain, KN Junejo - Informatics for Health and Social Care, 2019 - Taylor & Francis
Tuberculosis (TB) is a deadly contagious disease and a serious global health problem. It is
curable but due to its lengthy treatment process, a patient is likely to leave the treatment …

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

M Asad, A Mahmood, M Usman - Tuberculosis, 2020 - Elsevier
Tuberculosis is ranked as the 2nd deadliest disease in the world and is responsible for ten
million deaths in 2017. Treatment failure is one of a main reason behind these deaths …

Investigating machine learning methods for tuberculosis risk factors prediction: a comparative analysis and evaluation

OS Balogun, SA Olaleye, M Mohsin… - Proceedings of the 37th …, 2021 - oulurepo.oulu.fi
Tuberculosis (TB) is a killer disease, and its root can be traced to Mycobacterium
tuberculosis. As the world population increases, the burden of tuberculosis is growing along …

[PDF][PDF] Prediction and classification of Tuberculosis using machine learning

AA Elhag - 2024 - naturalspublishing.com
Tuberculosis can be fatal and is an infectious disease if it is not treated, that primarily affects
the lungs but can also affect other organs in the body. According to the World Health …

Deep Learning-based Model for the Classification of Tuberculosis using Convolution Neural Network

A Saini, K Guleria, S Sharma - 2023 4th IEEE Global …, 2023 - ieeexplore.ieee.org
Mycobacterium tuberculosis is a bacterium which generates tuberculosis disease (TB). It is
an extremely contagious bacterial infection which may result in death. Tuberculosis is one of …