A web-based decision support system for lower back pain diagnosis
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 4
Abstract
Abstract: In the era of science and technology, computer is the most spirited constituent in our today’s health care sector with variety of facilities. The use of Artificial Intelligent (AI), Knowledge Management, is the vital components and demanding for knowledge and evidence based health care sector. Decision support System hasthe feasible to diagnosis the way professionals’ delicacy patients for the better. In this paper, we efforts on the features of clinical decision support system for lower Back Pain (LBP) diagnosis. The objective of study is to develop a Web-based CDSS to support to diagnose and manage lower back pain according to guidelines. This paper will analyze how the decision support system efficiently work on LBP diagnosis and make it more efficient for the users.In this paper, we have studied the traditional LBP diagnosis system and web-based LBP system for the use of modern health care support. The research conducted with qualitative analysis in resulted through the interviewing with LBP patient and health care professionals on their view about the usage of web-based system in their diagnosis in which decision support system can play a role. It’s focused on the development and evaluation of WDSS for diagnose and advising patient in lower back pain (LBP).
Authors and Affiliations
Mohammed Arif Hasan Chowdhury
Keywords
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