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Thioanda, F, Natalia, F, Ferdinand, FV, Sudirman, S and Ko, CS (2021) Mobile Application for Asthma Prediction using Fuzzy-Certainty Factor Expert System. ICIC Express Letters, Part B: Applications, 12 (9). pp. 389-346. 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: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software R Medicine > R Medicine (General) R Medicine > RM Therapeutics. Pharmacology |
| Divisions: | Pharmacy & Biomolecular Sciences |
| Publisher: | ICIC International |
| Date Deposited: | 07 Oct 2021 10:50 |
| Last Modified: | 07 Oct 2021 11:00 |
| DOI or ID number: | 10.24507/icicelb.12.09.839 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/15613 |
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