Open AccessAndroid-based expert system design for drug selection using certainty factor
Author(s) -
Cepy Slamet,
B. Firmanda,
Muhammad Ali Ramdhani,
Wahyudin Darmalaksana,
E. Enjang,
Faiz Muqorrir Kaffah
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1280/2/022018
Subject(s) - computer science , unified modeling language , type 2 diabetes mellitus , drug , disease , android (operating system) , expert system , medicine , diabetes mellitus , artificial intelligence , pharmacology , software , pathology , programming language , endocrinology , operating system
Handling some types of diseases require medical therapy in the form of drug delivery. Appropriate medication should be conducted with assistance from medical experts for doses and types of drugs can be given properly and correctly. This study aims to discuss drug selection system design using certain certainty factor method with android-based. The disease that used as a discussion object is diabetes mellitus disease. System design methodology uses UML (Unified Modelling Language) modelling approach. The design results show that the system can make an early diagnosis of diabetes mellitus type II and drug selection recommendation for diabetes mellitus type II. Since health is essential to the safety of the human psyche, this application system can only be used as the third opinion of the diagnosis of diabetes mellitus type II.