Risk factors for tuberculosis treatment outcomes: a statistical learning-based exploration using the SINAN database with incomplete observations.

Journal: BMC medical informatics and decision making
Published Date: Aug 11, 2025

Abstract

BACKGROUND: Understanding early predictors of treatment outcomes allows better outcome prediction and resource allocation for efficient tuberculosis (TB) management.

Authors

  • Nguyen Ky Phat
    Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.
  • Yoonah Lee
    Department of Statistics, Sungshin Women's University, Seoul, 02844, Republic of Korea.
  • Dinh Hoa Vu
    The National Centre of Drug Information and Adverse Drug Reaction Monitoring, Hanoi University of Pharmacy, Hanoi, 11021, Vietnam.
  • Nguyen Phuoc Long
    Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea.
  • Seongoh Park
    School of Mathematics, Statistics and Data Science, Sungshin Women's University, Seoul, Korea. spark6@sungshin.ac.kr.

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