Combining Clinical Symptoms and Patient Features for Malaria Diagnosis: Machine Learning Approach
Author:
Affiliation:
1. Department of Information Communication Science and Engineering (ICSE), Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
Funder
funding associated with the work
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2031826
Reference86 articles.
1. Rapid diagnostic tests for diagnosing uncomplicatedP. falciparummalaria in endemic countries
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3. A random forest classifier for lymph diseases
4. 'Not all fevers are malaria': a mixed methods study of non-malarial fever management in rural southern Malawi
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