Article

Modeling of infectious prediction in Human Brucellosis via metrology-driven machine learning based on routine laboratory results: a study from North China

2022-09-27

Abstract excerpt

<h4>Background: </h4> Human brucellosis shows high morbidity, severe economic losses and public health problems globally. Because of traditional cultural method shortcomings, a novel tool for assisting clinical decision to identify high-risk infectious patients is urgently required. <h4>Methods: </h4>: The data of total 2283 clinically confirmed brucellosis patients (including acute phase 816/chronic phase 989) a...

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Literature Corpus work: d8696008-9938-5063-a11c-8ecea3105bb1
DOI: 10.21203/rs.3.rs-2080555/v1

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