Algorithm to determine the outcome of patients with acute liver failure: A data-mining analysis using decision trees

Journal of Gastroenterology

Volumn 47, Issue 6, 2012, Pages 664-677

  Nakayama, Nobuaki ^a   Oketani, Makoto ^a   Kawamura, Yoshihiro ^c   Inao, Mie ^b   Nagoshi, Sumiko ^a   Fujiwara, Kenji ^d   Tsubouchi, Hirohito ^b   Mochida, Satoshi ^a  

^a SAITAMA MEDICAL UNIVERSITY   (Japan)

^b KAGOSHIMA UNIVERSITY   (Japan)

^c IBM JAPAN LTD   (Japan)

^d YOKOHAMA ROSAI HOSPITAL   (Japan)

Author keywords

Fulminant hepatitis; Hepatic encephalopathy; Late onset hepatic failure; Liver transplantation

Indexed keywords

ACCURACY; ACUTE LIVER FAILURE; ADULT; ALGORITHM; ARTICLE; CLINICAL FEATURE; CONTROLLED STUDY; DATA MINING; DECISION TREE; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; HEPATIC ENCEPHALOPATHY; HUMAN; INTENSIVE CARE; LIVER TRANSPLANTATION; MAJOR CLINICAL STUDY; MALE; MORTALITY; PATIENT ASSESSMENT; PATIENT CODING; PREDICTIVE VALUE; PRIORITY JOURNAL; PROGNOSIS; SENSITIVITY AND SPECIFICITY; TREATMENT INDICATION; TREATMENT OUTCOME; VALIDATION PROCESS;

ADULT; AGED; ALGORITHMS; DECISION TREES; FEMALE; HEALTH SURVEYS; HEPATIC ENCEPHALOPATHY; HUMANS; JAPAN; LIVER FAILURE, ACUTE; LIVER TRANSPLANTATION; MALE; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; PROGNOSIS; TREATMENT OUTCOME;

EID: 84865125394     PISSN: 09441174     EISSN: 14355922     Source Type: Journal    
DOI: 10.1007/s00535-012-0529-8     Document Type: Article

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