Medical education, biomedical structured and unstructured data to construct knowledge and management systems

Medical education, biomedical structured and unstructured data to construct knowledge and

management systems

Biomedical structural and unstructured data collection and management system for medical education

Cai Yifen Jen Chiang 徐珮岚 Fan Biqin Yi-Fen Tsai

a

Institute of Medical Informatics, Taipei Medical University,

National Taiwan University, Institute of Biomedical Engineering

Summary

This article aims to record in a search, organize and manage the knowledge platform to collect documents and automatic

classification.

Bayes theorem, this will be the main direction of the structure, construction of the system are two important modules: (1) Automatic classification of the training module (2) hierarchical knowledge

classification module; its files to quantify the concept, and used to compare the thesaurus to find word association, using the system in automatic text classification techniques, guided by clinical experts, learning classification rules generated, and accurate classification of documents, provide users with information in many precision to obtain the required documentation.

In this study, a higher standard, so not all the databases included in the denominator of non-related literature (The sampling number) basis, but will be made through the keyword search the database after the extract training samples (305 articles) by professional clinicians in the sample system training, the test sample (108 articles) were assessed and found to observe the correct rate of 95.4%.

Keywords: knowledge management, text mining, medical education,

medical literature