Indicators for elevated risk factors for alcohol-withdrawal seizures: An analysis using a random forest algorithm

Journal of Neural Transmission

Volumn 119, Issue 11, 2012, Pages 1449-1453

  Hillemacher, Thomas ^a   Frieling, Helge ^a   Wilhelm, Julia ^a   Heberlein, Annemarie ^a   Karagülle, Deniz ^a   Bleich, Stefan ^a   Lenz, Bernd ^b   Kornhuber, Johannes ^b  

^a HANNOVER MEDICAL SCHOOL   (Germany)

^b UNIVERSITY HOSPITAL ERLANGEN   (Germany)

Author keywords

Alcohol withdrawal; Data mining; Detoxification; Homocysteine; Machine learning; Prolactin; Random forest; Seizure

Indexed keywords

CREATINE KINASE; CREATININE; HOMOCYSTEINE; PROLACTIN;

ALCOHOL BLOOD LEVEL; ALCOHOL CONSUMPTION; ARTICLE; CREATINE KINASE BLOOD LEVEL; CREATININE BLOOD LEVEL; DETOXIFICATION; HOSPITAL ADMISSION; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; MEAN CORPUSCULAR VOLUME; PRIORITY JOURNAL; PROLACTIN BLOOD LEVEL; RISK FACTOR; SMOKING; WITHDRAWAL SEIZURE;

ADULT; AGED; ALCOHOL WITHDRAWAL SEIZURES; ALGORITHMS; AREA UNDER CURVE; CENTRAL NERVOUS SYSTEM DEPRESSANTS; ETHANOL; FEMALE; HOMOCYSTEINE; HUMANS; MALE; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; PROLACTIN; RISK FACTORS; YOUNG ADULT;

EID: 84869498861     PISSN: 03009564     EISSN: 14351463     Source Type: Journal    
DOI: 10.1007/s00702-012-0825-8     Document Type: Article

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