Rule-Based Expert System for Assist Physician to Diagnosis of Malaria: XPerMal

Matumueni, Humberto Cuteso (2021) Rule-Based Expert System for Assist Physician to Diagnosis of Malaria: XPerMal. Asian Journal of Research in Computer Science, 11 (3). pp. 35-43. ISSN 2581-8260

[thumbnail of 218-Article Text-341-1-10-20220914.pdf] Text
218-Article Text-341-1-10-20220914.pdf - Published Version

Download (311kB)

Abstract

Nowadays, common diseases like malaria, typhoid and cholera become more dangerous problems for people living in this world. The objective is how it can avoid the queue of patients in hospital. In this article, the author has proposed a model of expert systems using the knowledge of physician and other health professionals. The rule based expert system XPerMal useful for patients infected with common diseases and this system will give an answer as similar to a doctor or medical expert and also this system is very useful in rural areas where we have young medical experts or have no medical expert. The reasoning strategy is a key element in many medical tasks. It is well known that developing countries face a shortage of medical expertise in the medical sciences. Patients also find a huge queue in hospitals. Because of this, they are unable to provide good medical services to their inhabitants. The knowledge is acquired from literature review and human experts in the specific field and is used as a basis for analysis, diagnosis and decision-making. Knowledge is represented by an integrated formalism that combines rules and facts.

Item Type: Article
Subjects: Afro Asian Library > Computer Science
Depositing User: Unnamed user with email support@afroasianlibrary.com
Date Deposited: 31 Jan 2023 11:10
Last Modified: 29 Jun 2024 12:31
URI: http://classical.academiceprints.com/id/eprint/99

Actions (login required)

View Item
View Item