Predicting bacteraemia in maternity patients using full blood count parameters: A supervised machine learning algorithm approach

Research article (International Journal of Laboratory Hematology, 2020) · cited 17× · AI/ML
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Predicting bacteraemia in maternity patients using full blood count parameters: A supervised machine learning algorithm approach

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Predicting bacteraemia in maternity patients using full blood count parameters: A supervised machine learning algorithm approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Predicting bacteraemia in maternity patients using full blood count parameters: A supervised machine learning algorithm approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-bacteraemia-in-maternity-patients-using-full-blood-count-parameters-a-supervised-machine-learning-algorithm-a
MLA “Predicting bacteraemia in maternity patients using full blood count parameters: A supervised machine learning algorithm approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-bacteraemia-in-maternity-patients-using-full-blood-count-parameters-a-supervised-machine-learning-algorithm-a.
BibTeX @misc{4ortxyz_predicting-bacteraemia-in-maternity-patients-using-full-blood-count-parameters-a-supervised-machine-learning-algorithm-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting bacteraemia in maternity patients using full blood count parameters: A supervised machine learning algorithm approach}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-bacteraemia-in-maternity-patients-using-full-blood-count-parameters-a-supervised-machine-learning-algorithm-a}, note = {Accessed: 2026-05-24}}
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