Multimodal machine learning-based model for differentiating nontuberculous mycobacteria from .

Journal: Frontiers in public health
PMID: 40034169

Abstract

OBJECTIVE: To develop and evaluate the effectiveness of multimodal machine learning approach for the differentiation of NTM from MTB.

Authors

  • Hong-Ling Li
    Department of Infectious Diseases, Zhoushan Hospital, Wenzhou Medical University, Zhoushan, Zhejiang, China.
  • Ri-Zeng Zhi
    Department of Infectious Diseases, Zhoushan Hospital, Wenzhou Medical University, Zhoushan, Zhejiang, China.
  • Hua-Sheng Liu
    Department of Infectious Diseases, Zhoushan Hospital, Wenzhou Medical University, Zhoushan, Zhejiang, China.
  • Mei Wang
    Natural Products Utilization Research Unit, Agricultural Research Service, U.S. Department of Agriculture, Oxford, MS, 38677, USA.
  • Si-Jie Yu
    Department of Infectious Diseases, Zhoushan Hospital, Wenzhou Medical University, Zhoushan, Zhejiang, China.

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