Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning-P2P
By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models.

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning-P2P
English |2021 | ISBN-13 : 978-1799827429 | 616 Pages | PDF | 32.9 MB
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