Tuberculosis diagnosis support analysis for precarious health information systems

AD Orjuela-Cañón, JEC Mendoza, CEA García… - Computer methods and …, 2018 - Elsevier
Background and objective Pulmonary tuberculosis is a world emergency for the World
Health Organization. Techniques and new diagnosis tools are important to battle this …

Machine learning algorithms to predict treatment success for patients with pulmonary tuberculosis

S Ahamed Fayaz, L Babu, L Paridayal, M Vasantha… - PloS one, 2024 - journals.plos.org
Despite advancements in detection and treatment, tuberculosis (TB), an infectious illness
caused by the Mycobacterium TB bacteria, continues to pose a serious threat to world …

Preliminary diagnosis of pulmonary tuberculosis using ensemble method

E Winarko, R Wardoyo - 2015 international conference on …, 2015 - ieeexplore.ieee.org
Tuberculosis (TB) is the oldest human diseases with the highest mortality rates among
infectious disease. Indonesia is the fifth highest TB burden country in the world. Diagnosis of …

[PDF][PDF] Mining Patients' Data for Effective Tuberculosis Diagnosis: The Case of Menelik II Hospital

A Nesredin - Addis Ababa University, 2012 - academia.edu
ABSTRACT TB is a common and deadly infectious disease that can occur at any age. The
incidence of TB has more than doubled in Africa during the last two decades. Ethiopia is …

[HTML][HTML] Machine Learning for Prediction of Tuberculosis Detection: Case Study of Trained African Giant Pouched Rats

J Jonathan, AA Barakabitze, CD Fast… - Online Journal of Public …, 2024 - ojphi.jmir.org
Background Technological advancement has led to the growth and rapid increase of
tuberculosis (TB) medical data generated from different health care areas, including …

Diagnosis of smear-negative pulmonary tuberculosis using ensemble method: a preliminary research

M Syafrullah - 2019 6th International Conference on …, 2019 - ieeexplore.ieee.org
Indonesia is one of 22 countries with the highest burden of Tuberculosis in the world.
According to WHO's 2015 report, Indonesia was estimated to have one million new …

[PDF][PDF] Visual analytics of tuberculosis detection rat performance

J Jonathan, C Sanga, M Mwita… - Online Journal of Public …, 2021 - ojphi.jmir.org
The diagnosis of tuberculosis (TB) disease remains a global challenge, and the need for
innovative diagnostic approaches is inevitable. Trained African giant pouched rats are the …

Prediction of survival rate from non-small cell lung cancer using improved random forest

P Nanda, N Duraipandian - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
The major advantage of survival rate prediction is to help patients by giving a better
understanding about the success rate of his treatment. In case of lung cancer it is difficult to …

[PDF][PDF] APPLICATION OF DATA MINING ALGORITHM FOR THE PREDICTION OF TUBERCULOSIS

T Baskar, M Kannan - romanpub.com
Data mining and knowledge discovery in data is a systematic approach employed to reveal
hidden patterns, associations and trends within the data. In the recent decade, data mining …

Prediction of Factors Influencing Rats Tuberculosis Detection Performance Using Data Mining Techniques

J Jonathan - 2019 - diva-portal.org
This thesis aimed to predict the factors that influence rats TB detection performance using
data mining techniques. A rats TB detection performance dataset was given from APOPO TB …