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Clinical Decision Support System for Knee Injuries

Naveen Dalal1

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-4 , Page no. 274-284, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i4.274284

Online published on Apr 30, 2019

Copyright © Naveen Dalal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Naveen Dalal, “Clinical Decision Support System for Knee Injuries,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.274-284, 2019.

MLA Style Citation: Naveen Dalal "Clinical Decision Support System for Knee Injuries." International Journal of Computer Sciences and Engineering 7.4 (2019): 274-284.

APA Style Citation: Naveen Dalal, (2019). Clinical Decision Support System for Knee Injuries. International Journal of Computer Sciences and Engineering, 7(4), 274-284.

BibTex Style Citation:
@article{Dalal_2019,
author = {Naveen Dalal},
title = {Clinical Decision Support System for Knee Injuries},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {274-284},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4028},
doi = {https://doi.org/10.26438/ijcse/v7i4.274284}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.274284}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4028
TI - Clinical Decision Support System for Knee Injuries
T2 - International Journal of Computer Sciences and Engineering
AU - Naveen Dalal
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 274-284
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract

Health related issues are most common among sports persons. The persons indulging in athletic activities have to face or suffer from various injuries and diseases. Hence sports medicine is a field which is specifically meant for providing medical aid to suffering sport persons. It is such a vast field that lot of amendments can be done in this field. This study provides an overview to the previously done work by various experts. It is seeing that most of the expert systems were created by using some basic technologies which are not in use today. And lot of crucial injuries and diseases were not considered by them such as injuries of knee. The objective behind this work is to design and implement such a multi agent system which can be able to detect the knee injuries. The work is implemented by using the trending and advance technology of current generation i.e. fuzzy logics or system which is based on some rules of real world application. MATLAB is used as simulation platform to evaluate the proficiency of the present work. The result section shows that how efficiently the system detects the disease and generates medical advice to the patient.

Key-Words / Index Term

Fuzzy logic, Clinical decision making,knee injury treatment.

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