SECURE DATA TRANSMISSION AND RISK PREDICTION IN SIMILAR DISEASES USING CONVOLUTIONAL NEURAL NETWORK
Author(s):
Johncy G
Keywords:
Deep learning, Disease prediction, CNN, RSA, DSA.
Abstract
Medical facilities need to be advanced so that better decisions for patient diagnosis and treatment options can be made. Deep learning in healthcare aids the humans to process huge and complex medical datasets and then analyze them into clinical insights. This then can further be used by physicians in providing medical care. Hence deep learning when implemented in healthcare can leads to increased patient satisfaction. In this work, we try to implement functionalities of deep learning in healthcare in a single system. Instead of diagnosis, when a disease prediction is implemented using certain deep learning predictive algorithms then healthcare can be made smart. Some cases can occur when early diagnosis of a disease is not within reach. Hence disease prediction can be effectively implemented. The encrypted health report is uploaded to the cloud server and medical data Provider get the patient report from the cloud server decrypt report by using RSA with DSA key. Then apply Convolutional Neural Network algorithm to find the disease caused by patient based on the symptoms and also find the level of risk of diseases in three stages namely low, medium, high.
Article Details
Unique Paper ID: 154188

Publication Volume & Issue: Volume 8, Issue 7

Page(s): 78 - 85
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers