
Diabetes Prediction Using Machine Learning Approach
LAP Lambert Academic Publishing
Published on 16. December 2025
Book
Paperback/Softback
80 pages
978-620-9-37460-9 (ISBN)
Description
Diabetes mellitus, commonly known as diabetes, is a group of metabolic disorders characterized by a high blood sugar level (hyperglycemia) over a prolonged period of time. Symptoms often include frequent urination, increased thirst and increased appetite. If left untreated, diabetes can cause many health complications. In the medical field, it is essential to predict diseases early to prevent them. Diabetes is one of the most dangerous diseases all over the world. In modern lifestyles, sugar and fat are typically present in our dietary habits, which have increased the risk of diabetes. Diabetes mellitus (DM) is a metabolic disorder characterized by increased blood glucose. The pathology can manifest itself with different conditions, including neuropathy, the main consequence of diabetic disease. To predict the disease, it is extremely important to understand its symptoms. The proposed framework is introduced to overcome all the disadvantages that arise in the existing system. This system will increase the accuracy of the results by prediction of diabetes by using ANN deep learning algorithms. It enhances the performance of the overall classification results.
More details
Language
English
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 5 mm
Weight
137 gr
ISBN-13
978-620-9-37460-9 (9786209374609)
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Schweitzer Classification
Persons
Navneet Kaur received her B.Tech degree from NIT,Surat, India and M.Tech from Barkatullah University, Bhopal, India. She has more than 23 years of teaching experience of UG and PG students.Her main research interests include Mobile ad-hoc network,routing protocols and artificial intelleigence. She is a life member of IETE.