Machine learning in the loop for tuberculosis diagnosis support

• Egile Nagusiak: Alvaro D. Orjuela-Cañón (Egilea), Andrés L. Jutinico (Egilea), Carlos Awad (Egilea), Erika Vergara (Egilea), Angélica Palencia (Egilea)
• Formatua: Liburua
• Argitaratua: Frontiers Media S.A., 2022-07-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

The use of machine learning (ML) for diagnosis support has advanced in the field of health. In the present paper, the results of studying ML techniques in a tuberculosis diagnosis loop in a scenario of limited resources are presented. Data are analyzed using a tuberculosis (TB) therapy program at a...