Diabetes Predictor System using Machine Learning Algorithms over Live Cloud Infrastructure


Authors : Deeksha K, Amrutha M, Harshitha, Ashwini Gotyal, Dr.M. Kusuma

Volume/Issue : Volume 5 - 2020, Issue 4 - April

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2YadOhj

Diabetes the silent killer which kills part by part of human life. Diabetes can knock anyone at any point of time. It is not only an infirmity but also an establisher of different kinds of diseases. Early prediction in such diseases plays a vital role in the developing economy. With the rising technologies such as deep learning within machine learning will help in finding a remedy to this outgrowth. Machine learning techniques increase medical diagnosis accuracy and reduce medical costs.The classification model in the machine learning approach helps medical specialists to improve their forecasting, diagnosis or treatment planning procedures. Whereas Deep learning within machine learning requires relatively keen knowledge about the data being used, the algorithms to be applied and analysis being made.

Keywords : Diabetes, Deep Learning, Accuracy, Machine learning algorithms.

CALL FOR PAPERS


Paper Submission Last Date
31 - March - 2024

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe