Articles with "diagnosis applications" as a keyword



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Improving the Accuracy of Diabetes Diagnosis Applications through a Hybrid Feature Selection Algorithm

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Published in 2021 at "Neural Processing Letters"

DOI: 10.1007/s11063-021-10491-0

Abstract: Artificial intelligence is a future and valuable tool for early disease recognition and support in patient condition monitoring. It can increase the reliability of the cure and decision making by developing useful systems and algorithms.… read more here.

Keywords: feature selection; diagnosis applications; diabetes diagnosis; accuracy ... See more keywords