This paper is in the following e-collection/theme issue:

Reviews in Medical Informatics (114) Decision Support for Health Professionals (1548) Machine Learning (2081) Artificial Intelligence (2144) Computer-Aided Diagnosis (252) Use Cases in Human, Animal, and Zoonotic Communicable/Infectious Disease Surveillance (145) Infectious Diseases (non-STD/STI) (1727)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67859, first published .
Machine Learning and Deep Learning Techniques for Prediction and Diagnosis of Leptospirosis: Systematic Literature Review

Machine Learning and Deep Learning Techniques for Prediction and Diagnosis of Leptospirosis: Systematic Literature Review

Machine Learning and Deep Learning Techniques for Prediction and Diagnosis of Leptospirosis: Systematic Literature Review

Authors of this article:

Suhila Sawesi1 Author Orcid Image ;   Arya Jadhav2 Author Orcid Image ;   Bushra Rashrash3 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Mohamed A, Abdelrehim M, Al-Barazie R. Context matters in machine learning based disease prediction with insights from diverse clinical and symptom data. Scientific Reports 2025;15(1) View