Title: A cloud-based secured framework for smart medical diagnosis: a survey

Authors: J. Leelavathy; S. Selva Brunda

Addresses: Bharathiar University, Coimbatore, 641046, India ' Department of CSE, Cheran College of Engineering, Karur, India

Abstract: Enormous amounts of medical data are being collected by several well-developed hospital information systems (HIS) in the form of patient records in hospitals. The hidden patterns and relationships contained in this data are identified using various data mining techniques which have drawn increasing world-wide attention in the recent years. As a result of which, a good number of medical decision support systems (MDSS) have been developed. These are computer systems designed to assist physicians or other healthcare professionals in making clinical decisions for the given patient's symptoms and medical history. Inspired by the existing systems, the model proposed in this paper aims at making a knowledge sharing collaborative platform for doctors which serves as a realistic and effective medical decision support system. It is important because it provides vital information from different data sources. It has several challenges like scalability, response time, heterogeneous data formats. This paper does a detailed study of different challenges in understanding about medical information that can be provided to users in a better manner. A framework named intelligent healthcare framework (IHCF) is being proposed in this paper detailing the services and support to society.

Keywords: medical decision support system; MDSS; diagnosis; knowledge discovery; symptoms.

DOI: 10.1504/IJMEI.2020.10032881

International Journal of Medical Engineering and Informatics, 2020 Vol.12 No.6, pp.581 - 590

Received: 12 Sep 2017
Accepted: 18 Jun 2018

Published online: 06 Nov 2020 *

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