APPLICATION NAIVE ¨ BAYES THEORY TO BUILDING BRONCHITIS DIAGNOSIS SUPPORT SYSTEM

Main Article Content

Viet Quoc Trinh
Duong Minh Pham
Mai Thi Truc Pham

Abstract

The Bayesian classifier algorithm is applied in the highest probability cases to classify objects. In the paper, this algorithm is  used to assist non-specialist doctors, inexperienced doctors, or in the absence of doctors in taking the examination and treatment of bronchitis quickly, timely and accurately. The inference system and the rule set were collected from experts’ knowledge, who have many years of experience in studying the bronchitis, to provide diagnostic results. All the knowledge collected from the patients’ medical records and the experts’ opinions (the Respiratory physicians) are completely accurate and reliable. The subject has also found a solution for the computerization of the problems in diagnosing diseases in reality, this facilitates the medical examination and treatment, and also helps to protect as well as to improve the health and the life quality of the community.

Downloads

Download data is not yet available.

Article Details

How to Cite
Trinh, V., Pham, D. and Pham, M. (2019) “APPLICATION NAIVE ¨ BAYES THEORY TO BUILDING BRONCHITIS DIAGNOSIS SUPPORT SYSTEM”, The Scientific Journal of Tra Vinh University, 1(1), pp. 61-66. doi: 10.35382/18594816.1.1.2019.89.
Section
Proceeding

References

[1] Nguyễn Đạt Anh, Ngô Quý Châu, Nguyễn Lân Việt,
Phạm Quang Vinh (2012), Bệnh học nội khoa tập 1,
Nhà Xuất bản Y học.
[2] Hoàng Kiếm, Đỗ Văn Nhơn, Đỗ Phúc (2005), Giáo
trình Các hệ cơ sở tri thức, Đại học Công nghệ Thông
tin - Đại học Quốc gia TP.HCM.