Open AccessMODELLING EXPERT SYSTEM FOR LUNG DISEASE
Author(s) -
Hendra Yufit Riskiawan,
Taufiq Rizaldi,
Dwi Putro Sarwo Setyohadi,
Mutia Utami
Publication year - 2020
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 - 10.1088/1742-6596/1569/2/022011
Subject(s) - forward chaining , expert system , disease , lung , intensive care medicine , medicine , chaining , lung disease , pathology , computer science , artificial intelligence , psychology , psychotherapist
One of the vital organs in humans is the lungs. Lungs infected with the disease and not or late diagnosed can cause fatal conditions that have the potential to cause death. The rapid development of artificial intelligence, especially the expert system, is one of the solutions for the early diagnosis of respiratory diseases, especially in the lungs. By applying the forward chaining method that analyzes the facts given by the user to determine the diagnosis results, the expert system for lung disease that was built focused on six lung diseases that are common in Indonesia.