Manuscript Number : IJSRSET219223
Integration and Mining of Multi-Source Medical Data for Health Services
Authors(2) :-B. ReddiSekhar, D. Venkata Siva Reddy
Traditional care or healthy services are provided with the rise of the internet wellness era. Migrating rapidly to the web or the internet generated significant numbers of medical products User, physician, educational, medical facilities etc. details related to this. Efficient melting and testing those IoH data is of positive importance for the diagnosis of science and medical disasters Services of treatment. However, IoH data is also spread through various departments and has partial users. Database. Therefore, the successful integration or measurement of critical IoH data is always a challenge the privacy in which device is not communicated. We also proposed a new multi-source integration of medical data and mining approach, called PDFM, which will solve the above challenge. Through PDFM, we will time efficiently and privacy-protectedly look through identical medical records to provide improved care and health-related resources to our clients. There is a group of studies to show the viability of this idea in this work.
B. ReddiSekhar
Service Recommendation, Internet of Health, Locality-Sensitive Hashing, User Privacy, Data Integration
Publication Details
Published in :
Volume 9 | Issue 2 | May-June 2021 Article Preview
Department Of Computer Science, Besant theosophical College, Madanapalli, Andhra Pradesh, India
D. Venkata Siva Reddy
Assistant Professor, Head of Department of Computer Science, Besant Theosophical College, Madanapalli, Andhra Pradesh, India
Date of Publication :
2021-06-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
122-127
Manuscript Number :
IJSRSET219223
Publisher : Technoscience Academy