MODELLING EXPERT SYSTEM FOR LUNG DISEASE

Riskiawan, H Y and Rizaldi, T and Setyohadi, D P S and Utami, M M D (2020) MODELLING EXPERT SYSTEM FOR LUNG DISEASE. Journal of Physics: Conference Series, 1569 (2). 022011. ISSN 1742-6588

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Official URL: https://iopscience.iop.org/article/10.1088/1742-65...

Abstract

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.

Item Type: Article
Subjects: 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 462 - Teknologi Informasi
Divisions: Jurusan Teknologi Informasi > Prodi D3 Manajemen Informatika > Publikasi
Depositing User: Hendra Yufit Riskiawan
Date Deposited: 12 Apr 2023 08:26
Last Modified: 16 Jun 2023 10:31
URI: https://sipora.polije.ac.id/id/eprint/22380

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