Machine learning model for predicting malaria using clinical information.

Journal: Computers in biology and medicine
Published Date: Nov 28, 2020

Abstract

BACKGROUND: Rapid diagnosing is crucial for controlling malaria. Various studies have aimed at developing machine learning models to diagnose malaria using blood smear images; however, this approach has many limitations. This study developed a machine learning model for malaria diagnosis using patient information.

Authors

  • You Won Lee
    Department of Tropical Medicine and Parasitology, Seoul National University College of Medicine and Institute of Endemic Diseases, Seoul, 03080, Republic of Korea.
  • Jae Woo Choi
    Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Eun-Hee Shin
    Department of Tropical Medicine and Parasitology, Seoul National University College of Medicine and Institute of Endemic Diseases, Seoul, 03080, Republic of Korea; Seoul National University Bundang Hospital, Seongnam, 13620, Republic of Korea. Electronic address: ehshin@snu.ac.kr.

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