Home
Author Guide
Editor Guide
Reviewer Guide
Published Issues
Special Issue
Introduction
Special Issues List
Sections and Topics
Sections
Topics
journal menu
Aims and Scope
Editorial Board
Indexing Service
Article Processing Charge
Open Access
Copyright and Licensing
Preservation and Repository Policy
Publication Ethics
Editorial Process
Contact Us
General Information
ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
CNKI
,
etc
.
Acceptance Rate:
19%
APC:
500 USD
Average Days to Accept:
135 days
Journal Metrics:
Impact Factor 2022: 1.0
3.1
2022
CiteScore
49th percentile
Powered by
Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2024-03-28
Vol. 15, No. 3 has been published online!
2024-02-26
The papers published in Vol. 15, Nos. 1&2 have been registered with Crossref.
2024-02-26
Vol. 15, No. 2 has been published online!
Home
>
Published Issues
>
2018
>
Volume 9, No. 3, August 2018
>
A Mobile Expert System Utilizing Fuzzy Logic for Venereal and Sexually Transmitted Diseases
Jasmin A. Caliwag, Felizardo C. Reyes Jr., Paula Jean M. Castro, and Reynaldo E. Castillo
Technological Institute of the Philippines Quezon City, Metro Manila, Philippines
Abstract
—According to American Social Health Association, more than half of all people in the world will have Sexually Transmitted Infection (STI) or popularly known as STD at some point in their lifetime. This paper presents the work of developing a mobile expert system to provide information about the most common venereal and sexually transmitted diseases in the Philippines. The mobile application developed is capable of diagnosing the user based from the different physical manifestations of symptoms and usual signs that occur in their body. The source of data used to build the expert system was collected from various related literature studies and interviews with experts in venereology. The information provided by the application will help users in identifying early signs and symptoms of VD/STD and will also improve their knowledge regarding these infectious diseases. Detection of the VD/STD at a primary stage is essential as to increase people’s survival rate. A fuzzy logic algorithm was utilized to filter different symptoms and provide an accurate result of the diagnostic testing. The system was evaluated by venereal disease expert, venereal disease/ sexually transmitted disease patients and IT Professionals through its functionality, efficiency, and portability. The results of the evaluation showed that the application was able achieved the defined objectives from the outcome of the survey given to the experts and other evaluators.
Index Terms
—expert system, venereal and sexually transmitted disease, fuzzy logic algorithm
Cite: Technological Institute of the Philippines Quezon City, Metro Manila, Philippines, "A Mobile Expert System Utilizing Fuzzy Logic for Venereal and Sexually Transmitted Diseases," Vol. 9, No. 3, pp. 57-61, August 2018. doi: 10.12720/jait.9.3.57-61
2-IS019
PREVIOUS PAPER
Consecutive Meals Planning by Using Permutation GA: Analysis of Meal’s Characteristics in Optimum Solution
NEXT PAPER
Efficient Version Management for Content Sharing Using File Splitting and Differences in Hybrid Peer-to-Peer Network