Additional file 2 of Machine learning approaches classify clinical malaria outcomes based on haematological parameters
Collins Misita Morang’a, Lucas A. Amenga-Etego, Saikou Y. Bah, Vincent Appiah, Dominic S. Y. Amuzu, Nicholas Amoako, James Abugri, Abraham Rexford Oduro, Aubrey J. Cunnington, Gordon A. Awandare, Thomas D. Otto · Figshare · 2020
Additional file 2: Table S2. Clinical and raw haematological data of study participants. Table S3. The median splits predictive values on the clinical diagnostic categories (nMI, UM, and SM) of the study participants.