WORLD JOURNAL OF PLASTIC SURGERY
مجله جهانی جراحی پلاستیک
WJPS
Medical Sciences
http://wjps.ir
1
admin
2228-7914
2252-0724
8
10.61186/wjps
14
8888
13
en
jalali
1393
4
1
gregorian
2014
7
1
3
2
online
1
fulltext
en
How Can Bee Colony Algorithm Serve Medicine?
تخصصي
Special
مقالات اصيل
Original Article
Healthcare professionals usually should make complex decisions with far reaching consequences and associated risks in health care fields. As it was demonstrated in other industries, the ability to drill down into pertinent data to explore knowledge behind the data can greatly facilitate superior, informed decisions to ensue the facts. Nature has always inspired researchers to develop models of solving the problems. Bee colony algorithm (BCA), based on the self-organized behavior of social insects is one of the most popular member of the family of population oriented, nature inspired meta-heuristic swarm intelligence method which has been proved its superiority over some other nature inspired algorithms. The objective of this model was to identify valid novel, potentially useful, and understandable correlations and patterns in existing data. This review employs a thematic analysis of online series of academic papers to outline BCA in medical hive, reducing the response and computational time and optimizing the problems. To illustrate the benefits of this model, the cases of disease diagnose system are presented.
Bee colony algorithm, Diagnose diseases system, Medicine
87
92
http://wjps.ir/browse.php?a_code=A-10-46-3&slc_lang=en&sid=1
Zeinab
Salehahmadi
sarehs59@yahoo.com
1003194753284600583
1003194753284600583
Yes
Department of Information Technology, Bushehr University of Medical Sciences, Bushehr, Iran
Amir
Manafi
1003194753284600584
1003194753284600584
No
Shahid Beheshti University of Medical Sciences, Tehran, Iran