Machine Learning Strategies for Type 2 Diabetes Classification: A monograph - Softcover

Roobini, Dr. M. S.; Clemency, C. A. Daphine Desona; D., Aishwarya

 
9786207447671: Machine Learning Strategies for Type 2 Diabetes Classification: A monograph
Softcover
ISBN 10: 6207447670 ISBN 13: 9786207447671
Publisher: LAP LAMBERT Academic Publishing, 2023

Synopsis

The rise in Type 2 Diabetes cases has fueled research in robust diagnostic systems. Machine learning integration enhances these systems by analyzing diverse datasets and addressing associated complications like obesity, poor habits, and hypertension. Early detection is crucial, given the severe health implications. ML, paired with natural language processing, aids in prognosis, diagnosis, and prevention plans. Using the PIDD dataset (768 samples, 16 attributes), this research focuses on predicting diabetes with an expanded characteristic set. Pre-processing involves normalization, balancing with SMOTE, and completeness checks to improve model accuracy. Overall, this study emphasizes ML's pivotal role in advancing Type 2 Diabetes understanding and predictive capabilities through meticulous methodologies and dataset selection.

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Publisher
LAP LAMBERT Academic Publishing
Publication date
2023
Language
English
ISBN 10 
6207447670
ISBN 13 
9786207447671
Binding
Paperback
Number of pages
64