Automatic Diagnosis of Diabetes Using Machine Learning: A Review
DOI:
https://doi.org/10.18034/mjmbr.v7i2.555Keywords:
Machine Learning, Diabetes, Diabetes Detection, Blood SugarAbstract
The health sector, like the other sectors, contains a large amount of data that should be used to better understand and treat the various ailments that are prevalent. For example, diabetes is a condition that is becoming more prevalent but that may be managed if discovered at an early stage. The algorithms of machine learning (ML) can be utilized for this purpose. We have examined the various machine learning methods and the attributes that can be utilized to train these algorithms for the purpose of detecting diabetic complications.
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