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Fig. 2 | BMC Medicine

Fig. 2

From: Machine learning approaches classify clinical malaria outcomes based on haematological parameters

Fig. 2

Clinical manifestations using laboratory diagnosis compared to various suspected infections by clinicians. Blood, urine, and stool samples were collected from majority of the individuals who were categorized as nMI. Cultures of either blood, urine, or stool were performed, depending on the clinician’s request and the suspected illness. The suspected organisms were categorized as either bacteria, viral, fungi, and protozoan or a combination of bacteria/protozoan, fungi/protozoan, viral/protozoan, and viral/bacteria. Laboratory results confirmed only 4% of the cases with the majority being undetermined/not available/not known (96%, 937/978). The major organisms determined to be present include dengue virus, Staphylococcus aureus, Salmonella typhi, Streptococcus pneumonia, and Coxiella burnetii. a shows the absolute counts of each diagnosed organism coloured by the suspected organisms while b shows the proportion of each diagnosed organism coloured by the suspected organism. HIV stands for Human immunodeficiency virus, URTI for upper respiratory tract infection, Pf for Plasmodium falciparum and SPP for species

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