Development and performance of CUHAS-ROBUST application for pulmonary rifampicin-resistance tuberculosis screening in Indonesia.

Journal: PloS one

Published Date: Jan 1, 2021

Abstract

BACKGROUND AND OBJECTIVES: Diagnosis of Pulmonary Rifampicin Resistant Tuberculosis (RR-TB) with the Drug-Susceptibility Test (DST) is costly and time-consuming. Furthermore, GeneXpert for rapid diagnosis is not widely available in Indonesia. This study aims to develop and evaluate the CUHAS-ROBUST model performance, an artificial-intelligence-based RR-TB screening tool.

Authors

Bumi Herman

College of Public Health Science, Chulalongkorn University, Bangkok, Thailand.
Wandee Sirichokchatchawan

College of Public Health Science, Chulalongkorn University, Bangkok, Thailand.
Sathirakorn Pongpanich

College of Public Health Science, Chulalongkorn University, Bangkok, Thailand.
Chanin Nantasenamat

Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand; Department of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand.

Keywords

Adult Antibiotics, Antitubercular Area Under Curve Cross-Sectional Studies Drug Resistance, Bacterial Female Humans Indonesia Logistic Models Male Middle Aged Mycobacterium tuberculosis Neural Networks, Computer Rifampin ROC Curve Sensitivity and Specificity Tuberculosis

External Resources

View on PubMed Access via DOI PubMed (33765092)

Development and performance of CUHAS-ROBUST application for pulmonary rifampicin-resistance tuberculosis screening in Indonesia.

Abstract

Authors

Keywords

External Resources

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