Artificial Intelligence and Machine Learning Techniques for Diabetes Healthcare

By Manjiri Mahadev Mastoli

Today world is extensively affected by endocrine disease

Diabetes Mellitus which is commonly known as diabetes. There

is a need for an effective model which can predict diabetes and

its types at the early stages with accuracy. To improve the

accuracy of prediction and to achieve better efficiency, a new

Machine Learning based Model (MLM) is proposed. This

Machine Learning Model (MLM) has ability to predict the

diabetes and its categories as type 1, type 2 and Gestational

diabetic with which the patient is suffering from. The proposed

Machine Learning Model is innovative for diagnosis of diabetes

is more accurate as compared to other existing approaches. This

is a novel method from which one can combine power of an AI

with the machine learning environment.

Majority people with diabetes can have an eye complication

called diabetic retinopathy during data collection researcher

experienced the same. It is a diabetes disease or complication

that affects eyes. Another aim of this study is to model CNN to

predict diabetic retinopathy using deep learning techniques.

These approaches have been tested with data samples. The CNN

model has 80% accuracy for the dataset with diabetic

retinopathy and without diabetic retinopathy.

• Format: Paperback
• Language: English
• ISBN: 1765976251
• ISBN13: 9781765976250
• Release Date: January 1
• Publisher: Mohd Abdul Sattar
• Length: 158 Pages
• Weight: 0.48 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"