DEVELOPMENT OF THE CLASSIFICATION OF DISEASES ONTOLOGY AND SEMI-AUTOMATED ICD-10-TM CODING SYSTEM USING HYBRID CASEBASED REASONING AND INVERTED INDEX TECHNOLOGIES IN THAILAND
Thai Modification - ICD-10-TM is a coding system that is currently been used to do morbidity and mortality statistical analysis and reimbursement of medical care cost in all Thai hospitals. Development of semi-automated ICD coding system began from 2010. ICD-10-TM ontology contains 2 main knowledge bases i.e. tabular list knowledge base and index knowledge base with 309,985 concepts and 162,092 relations. The ontology was stored in inverted index to facilitate fast searching. Since 2011, “experience base ontology using case-based reasoning concepts was created. The semi-automated coding software could search experience base when initial searching from ICD knowledge base yielded no result. Recall and precision of the semiautomated coding system was tested using another data set contain 14,982 diagnosis from 5,000 medical records of anonymous patients. All ICD codes produced by the semiautomated coding system were checked against the correct ICD codes validated by ICD expert coders. When the system use only ICD knowledge base for automated coding, it could find 7,142 ICD codes (47.67%), recall = 0.477, precision =0.909 , but when it used ICD knowledge base with experience base (containing 4,579 cases) search, it could find 9,696 ICD codes (64.88%), recall = 0.70, precision = 0.98. This increase ability of the system was statistical significant (paired T-test p-value = 0.048 (< 0.05). The system could do automated code for 14,982 diagnosis words within 4.5 minutes. This research demonstrated a novel mechanism to use experience base ontology to enhance competency of semi-automate ICD coding system. The model of interaction between knowledge base and experience base developed in this work and the hybrid used of case-based reasoning and inverted index in this research could be used in other artificial intelligent system as well.
International Classification of Disease (ICD) Ontology Semi-automated ICD Coding System Case-based Reasoning Inveted Index
Wansa Paoin Supot Nitsuwat
Faculty of Information Technology, King Mongkut’s University of Tehnology North Bangkok, Thailand
国际会议
The 7th Asia Pacific Association for Medical Informatics Conference(第七届亚太医药信息学大会(APAMI2012))
北京
英文
1-6
2012-10-24（万方平台首次上网日期，不代表论文的发表时间）