Conceptual-driven classification for coding advise in health insurance reimbursement

Artificial Intelligence in Medicine

Volumn 51, Issue 1, 2011, Pages 27-41

  Li, Sheng Tun ^a   Chen, Chih Chuan ^b   Huang, Fernando ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b Taiwan Shoufu University   (Taiwan)

Author keywords

Fuzzy formal concept analysis; Health insurance; ICD code; Information retrieval; Knowledge discovery; Text mining

Indexed keywords

ADVISORY SYSTEMS; BUREAU OF NATIONAL HEALTH INSURANCES; CEREBROVASCULAR DISEASE; CERTAINTY FACTORS; CLASSIFICATION TECHNIQUE; CODING PROCESS; COMPARISON RESULT; DISCHARGE SUMMARY; DISEASE CLASSIFICATION; FORMAL CONCEPT ANALYSIS; HEALTH-CARE SYSTEM; ICD CODE; IMPLICATION RULES; INTERNATIONAL CLASSIFICATION OF DISEASE; KNOWLEDGE DISCOVERY; MEDICAL TERMS; MEDICAL TREATMENT; NATURAL LANGUAGE PROCESSING; PREDICTION PERFORMANCE; TEXT MINING; ZIPF'S LAW;

COMPUTATIONAL LINGUISTICS; DATA MINING; HEALTH; HOSPITALS; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS;

HEALTH INSURANCE;

ARTICLE; DATA MINING; FUZZY SYSTEM; HEALTH INSURANCE; INFORMATION RETRIEVAL; INTERMETHOD COMPARISON; INTERNATIONAL CLASSIFICATION OF DISEASES; KNOWLEDGE DISCOVERY; MEDICAL DOCUMENTATION; PATIENT CODING; PRIORITY JOURNAL; REIMBURSEMENT; SUPPORT VECTOR MACHINE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CEREBROVASCULAR DISORDERS; DATA MINING; FUZZY LOGIC; HOSPITAL COSTS; HOSPITAL INFORMATION SYSTEMS; HUMANS; INSURANCE, HEALTH, REIMBURSEMENT; INTERNATIONAL CLASSIFICATION OF DISEASES; MEDICAL SUBJECT HEADINGS; NATIONAL HEALTH PROGRAMS; NATURAL LANGUAGE PROCESSING; PATIENT DISCHARGE; TAIWAN;

EID: 78650925251     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2010.10.003     Document Type: Article

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