Mobile Application for Asthma Prediction using Fuzzy-Certainty Factor Expert System

Thioanda, Fisichela and Natalia, Friska and Ferdinand, Ferry Vincenttius and Sudirman, Sud (2021) Mobile Application for Asthma Prediction using Fuzzy-Certainty Factor Expert System. ICIC Express Letters, 12 (9). pp. 346-389. ISSN 2185-2766

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Abstract

Asthma is a chronic illness that sporadically affects the ability of the person who has it to breathe. It is reported that out of the 417,918 global deaths attributed to asthma in 2016, and the majority occurred in low- and lower-middle-income countries. Asthma sufferers in these countries often do not realize that they have asthma and leave the symptoms untreated because they have limited access to affordable and quality healthcare. We propose a methodology to address this issue by bringing the medical experts closer to the poorer segment of the population via a mobile application. The application uses a rule-based algorithm based on a fuzzy-certainty factor model to manage uncertainties that are present when collecting data from the experts and users. The result of the experiment shows that this technique manages to accurately predict the occurrence of the disease and identify the type of the disease with 96.7% accuracy.

Item Type: Article
Uncontrolled Keywords: Asthma prediction, Expert system, Certainty factor, Mobile App, Android
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming
000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods (3D Graphics, Digital Video, Data Mining, Augmented Reality)
600 Technology (Applied Sciences) > 610 Medicine and Health > 616 Diseases
Divisions: Fakultas Teknik Informatika > Program Studi Sistem Informasi
Depositing User: mr admin umn
Date Deposited: 24 Nov 2021 14:52
Last Modified: 24 Nov 2021 14:52
URI: http://kc.umn.ac.id/id/eprint/19264

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