Novel solutions for an old disease: Diagnosis of acute appendicitis with random forest, support vector machines, and artificial neural networks

Surgery

Volumn 149, Issue 1, 2011, Pages 87-93

  Hsieh, Chung Ho ^a,b   Lu, Ruey Hwa ^b   Lee, Nai Hsin ^b   Chiu, Wen Ta ^c   Hsu, Min Huei ^c   Li, Yu Chuan ^a,c,d  

^a NATIONAL YANG MING UNIVERSITY   (Taiwan)

^b TAIPEI CITY HOSPITAL   (Taiwan)

^c TAIPEI MEDICAL UNIVERSITY   (Taiwan)

^d TAIPEI MEDICAL UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE APPENDICITIS; ADOLESCENT; ADULT; AGED; ANOREXIA; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONSULTATION; DIARRHEA; FEMALE; HUMAN; LEUKOCYTOSIS; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; NAUSEA AND VOMITING; PAIN; PRIORITY JOURNAL; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

ACUTE DISEASE; ADULT; ALGORITHMS; APPENDECTOMY; APPENDICITIS; ARTIFICIAL INTELLIGENCE; DATABASES, FACTUAL; DECISION TREES; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; TAIWAN;

EID: 78650170620     PISSN: 00396060     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.surg.2010.03.023     Document Type: Article

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