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Date Published: 15/11/2023
Abstract Views: 140
Views PDF: 83
DOI: https://doi.org/10.51298/vmj.v531i2.7184
Issue
Vol. 531 No. 2 (2023)
Section
Các bài báo
How to Cite
Phan , M. Đức ., Nguyễn , T. T. ., Vũ , T. M. ., Nguyễn, P. N. ., Tạ , T. B. H. ., & Lê, Đình K. (2023). BUILDING THE SUPPORTED MODEL FOR PREDICTING AND TREATING LIVER DISEASES IN TRADITIONAL VIETNAMSES MEDICINE USING MACHINE LEARNING. Vietnam Medical Journal, 531(2). https://doi.org/10.51298/vmj.v531i2.7184

BUILDING THE SUPPORTED MODEL FOR PREDICTING AND TREATING LIVER DISEASES IN TRADITIONAL VIETNAMSES MEDICINE USING MACHINE LEARNING

Minh Đức Phan 1,, Thị Trang Nguyễn 1, Thị Mai Vũ 1, Phương Ngân Nguyễn1, Thị Bích Hà Tạ 1, Đình Khiết Lê
1 VNU Hanoi-University of Medicine and Pharmacy

Main Article Content

Abstract

Recently, the development of traditional Vietnames medicine has become urgent to meet expectations from practical needs. However, this issue is facing many challenges when approached by methods according to classical paths. In that context, data – driven approach is expected to accelerate the development process. Following this direction, this study has been conducted to build models to support diagnosis and treatment of liver diseases in traditional medicine using machine learning methods. Experiments on a dataset collected from common traditional medical documents, the model has provided high compatibility predictions (100%) and proposed further diagnosis steps. In addition, methodology has been applied to screen 46 (out of more than 62500) relationships between symptoms and herbal remedies. The significance of these relationships has been noted by comparison with the pharmacopeia. The initial results of the study show the potential for clinical support applications, beyond contributing to the promotion of medical informatics.

Article Details

Keywords

traditional Vietnamese medicine, artificial intelligence, machine learning

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