On the Clinical Use of Artificial Intelligence and Haematological Measurements for a Rapid Diagnosis and Care of Paediatric Malaria Patients in West Africa †
Abstract
:1. Introduction
2. Dataset and Methods
Dataset
3. Results
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Model | Accuracy (%) |
---|---|
DT | 85 |
LDA | 86 |
LR | 86 |
LSVM | 87 |
QSVM | 89 |
CSVM | 89 |
FGSVM | 84 |
KNN | 87 |
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Nsugbe, E.; Mathebula, D.; Viza, E.; Samuel, O.W.; Connelly, S.; Mutanga, I. On the Clinical Use of Artificial Intelligence and Haematological Measurements for a Rapid Diagnosis and Care of Paediatric Malaria Patients in West Africa. Eng. Proc. 2023, 58, 131. https://doi.org/10.3390/ecsa-10-16246
Nsugbe E, Mathebula D, Viza E, Samuel OW, Connelly S, Mutanga I. On the Clinical Use of Artificial Intelligence and Haematological Measurements for a Rapid Diagnosis and Care of Paediatric Malaria Patients in West Africa. Engineering Proceedings. 2023; 58(1):131. https://doi.org/10.3390/ecsa-10-16246
Chicago/Turabian StyleNsugbe, Ejay, Dephney Mathebula, Evi Viza, Oluwarotimi W. Samuel, Stephanie Connelly, and Ian Mutanga. 2023. "On the Clinical Use of Artificial Intelligence and Haematological Measurements for a Rapid Diagnosis and Care of Paediatric Malaria Patients in West Africa" Engineering Proceedings 58, no. 1: 131. https://doi.org/10.3390/ecsa-10-16246