Previous Page  15 / 21 Next Page
Information
Show Menu
Previous Page 15 / 21 Next Page
Page Background

Page 68

Notes:

Volume 3, Issue 4 (Suppl)

J Clin Exp Orthop

ISSN:2471-8416

Osteoporosis and Arthroplasty 2017

December 04-05, 2017

&

11

th

International Conference on

Joint Event

OSTEOPOROSIS, ARTHRITIS & MUSCULOSKELETAL DISORDERS

December 04-05, 2017 | Madrid, Spain

10

th

INTERNATIONAL CONFERENCE ON ARTHROPLASTY

Decision support tool for diagnosis of Rheumatoid Arthritis

Alireza Sadeghpour

2, 3

, Samira Abbasgholizadeh Rahimi

1

, Jose L Salmeron

4, 5, 6

and

Amir Mohammad Navali

2, 3

1

Université Laval, Canada

2

Tabriz University of Medical Sciences, Iran

3

Shohada University Hospital, Iran

4

Universidad Autónoma de Chile, Chile

5

University of Hradec Králové, Czech Republic

6

Pablo de Olavide University, Spain

R

heumatoid Arthritis (RA) is a chronic systemic inflammatory disease that influence on joints and muscles and can result in

noticeable disruption of joint structure and function. Early diagnosis of RA is very crucial in preventing disease's progression.

However, it is a complicated task for General Practitioners (GPs) due to the wide spectrum of symptoms, and progressive changes

in disease's direction over time. The aim of this presentation is to summarize our work in development of a decision support tools

for GPs in early diagnosis of RA and describes a small-scale test which has been conducted at Shohada University Hospital, Iran, for

evaluating the accuracy of the proposed tool. This study proposed an advanced decision support tool based on consultations with a

group of experienced medical professionals (i.e. orthopedic surgeons and rheumatologists), and using a well-known soft computing

method called Fuzzy Cognitive Maps (FCMs). Briefly, considering obtained results in real practice, we believe that this tool can be

useful in assisting GPs in early diagnosis of patients with Rheumatoid Arthritis. Indeed, in the lights of the proposed decision support

tool: (i) GPs can evaluate patients' RA disease's severity more accurately and easily, (ii) the required time for patients' diagnosis could

be decreased, (iii) quality of life of patients and quality of care may be improved, and more importantly (iv) the risks that could

threaten patients due to the wrong or late diagnosis will be diminished.

Biography

Alireza Sadeghpour is an Associate Professor and Chair of Orthopedic Surgery department at Tabriz University of Medical Sciences. Sadeghpour is also currently

serving as a Director and Chairman of Shohada University Hospital. He received his M.D. degree in 1992 and his Iranian Board Certificate of Orthopedic Surgery

in 2000. His research interests are in Pelvis and Hip Surgery including Arthroplasty, hip preserving Surgery and Trauma.

sadeghpoura46@yahoo.com

Alireza Sadeghpour, J Clin Exp Orthop 2017, 3:4(Suppl)

DOI: 10.4172/2471-8416-C1-003