Random forest classification of etiologies for an orphan disease

Statistics in Medicine

Volumn 34, Issue 5, 2014, Pages 887-899

  Speiser, Jaime Lynn ^a   Durkalski, Valerie L ^a   Lee, William M ^b  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

Author keywords

Acute liver failure; Etiology; Random forest; Statistical classification

Indexed keywords

ALANINE AMINOTRANSFERASE; AMYLASE; ASPARTATE AMINOTRANSFERASE; BILIRUBIN; CALCIUM ION; NITROGEN; PHOSPHATE; UREA;

ACUTE LIVER FAILURE; ALGORITHM; ARTICLE; AUTOIMMUNE HEPATITIS; CALCULATION; CLASSIFICATION AND REGRESSION TREE MODEL; HEPATITIS B; HUMAN; LYMPHOCYTE; MEASUREMENT ACCURACY; MONOCYTE; NEUTROPHIL; PREDICTION; PROBABILITY; RANDOM FOREST; RARE DISEASE; STATISTICAL MODEL; TOXIC HEPATITIS; UREA NITROGEN BLOOD LEVEL; BIOSTATISTICS; CLASSIFICATION; DECISION TREE; LIVER FAILURE, ACUTE; MACHINE LEARNING; RARE DISEASES; REGISTER; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; BIOSTATISTICS; DECISION TREES; HUMANS; LIVER FAILURE, ACUTE; MACHINE LEARNING; MODELS, STATISTICAL; RARE DISEASES; REGISTRIES;

EID: 84921478427     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6351     Document Type: Article

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