Disease prediction model for secure patient data over cloud using machine learning. (19th May 2022)

• Record Type: Journal Article
• Authors: Goyal, Dinesh; Goyal, Ruchi; Bhargava, Sandeep; Sharma, Priyanka
• Is Part Of: Journal of discrete mathematical sciences & cryptography. Volume 25:Number 4(2022)
• Page Start: 1183
• Page End: 1193
• Publication Date: 2022-05-19
• Subjects: 68M25 -- 35Q94 -- 62R07; IT in health care -- Machine learning -- Electronic health records -- Cloud computing -- Health monitoring -- AADHAR; Computer science -- Mathematics -- Periodicals; Cryptography -- Periodicals; Computer science -- Mathematics; Cryptography; Periodicals; 004.0151
• DOI: 10.1080/09720529.2022.2072438
• Languages: English
• ISSNs: 0972-0529

Abstract

Abstract: Patient data at hospitals is non-sharable in current systems and cost of repeated medication is curse to the patients. Also medical treatment perspective changes at every hospital or doctor or diagnostic center. To resolve the issue of availability of medicinal past history of the patients & reduction in cost of treatment with decisive & secure availability of patient records, like prescriptions and lab reports, we implemented an ERP system over cloud in five hospitals. Based on data retrieved from the hospitals of registration (only to ensure privacy of patients) we implement data analytics using machine learning for the prediction of the disease of patients by tracking the record of medical history and also analyzed hospital and doctors information and performance. Our aim is to provide solution for less cost treatment and for regulation and monitoring of health care to Indian Medical Industry.