Significant symptoms and nonsymptom-related factors for malaria diagnosis in endemic regions of Indonesia.

Journal: International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
PMID: 33249286

Abstract

OBJECTIVES: This study aims to identify significant symptoms and nonsymptom-related factors for malaria diagnosis in endemic regions of Indonesia.

Authors

  • Yulianti Paula Bria
    Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, Victoria 3800, Australia. Electronic address: yulianti.bria@monash.edu.
  • Chung-Hsing Yeh
    Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, Victoria 3800, Australia. Electronic address: chunghsing.yeh@monash.edu.
  • Susan Bedingfield
    Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, Victoria 3800, Australia. Electronic address: sue.bedingfield@monash.edu.

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