Automatic Classification of Foot Examination Findings Using Clinical Notes and Machine Learning

Journal of the American Medical Informatics Association

Volumn 15, Issue 2, 2008, Pages 198-202

  Pakhomov, Serguei V S ^a   Hanson, Penny L ^b   Bjornsen, Susan S ^b   Smith, Steven A ^b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b MAYO CLINIC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; AUTOANALYSIS; CLASSIFICATION; CLINICAL ASSESSMENT; FEASIBILITY STUDY; FOOT; FOOT EXAMINATION; HOSPITAL PATIENT; HUMAN; MACHINE LEARNING; MAJOR CLINICAL STUDY; MEDICAL DOCUMENTATION; MEDICAL RECORD; NEUROLOGIC EXAMINATION; OUTPATIENT; PATIENT SELECTION; PHYSICAL EXAMINATION; STRUCTURE ANALYSIS; SUPPORT VECTOR MACHINE; VALIDATION STUDY;

ARTIFICIAL INTELLIGENCE; DATA COLLECTION; DIABETES COMPLICATIONS; FEASIBILITY STUDIES; FOOT; FOOT DISEASES; HUMANS; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; PHYSICAL EXAMINATION; QUALITY ASSURANCE, HEALTH CARE; REPRODUCIBILITY OF RESULTS; SUBJECT HEADINGS;

EID: 39649102341     PISSN: 10675027     EISSN: None     Source Type: Journal    
DOI: 10.1197/jamia.M2585     Document Type: Article

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