Predicting warfarin dosage from clinical data: A supervised learning approach

Artificial Intelligence in Medicine

Volumn 56, Issue 1, 2012, Pages 27-34

  Hu, Ya Han ^a   Wu, Fan ^a   Lo, Chia Lun ^a   Tai, Chun Tien ^b  

^a NATIONAL CHUNG CHENG UNIVERSITY   (Taiwan)

^b CHANG GUNG MEMORIAL HOSPITAL   (Taiwan)

Author keywords

Classifier ensemble; Dosage prediction; Model tree; Multilayer perceptron; Support vector regression; Warfarin

Indexed keywords

CLASSIFIER ENSEMBLES; MODEL TREES; MULTI LAYER PERCEPTRON; SUPPORT VECTOR REGRESSION (SVR); WARFARIN;

ACCREDITATION; DECISION MAKING; DRUG INTERACTIONS; DRUG PRODUCTS; FORECASTING; FORESTRY; HEALTH CARE; LEARNING ALGORITHMS; MATHEMATICAL MODELS; SUPERVISED LEARNING;

DRUG DOSAGE;

ACETYLSALICYLIC ACID; AMIODARONE; APREPITANT; CAPECITABINE; CARBOPLATIN; CELECOXIB; CILOSTAZOL; CLOPIDOGREL; CYCLOPHOSPHAMIDE; DOXORUBICIN; DULOXETINE; ENOXAPARIN; ESCITALOPRAM; ETOPOSIDE; FENOFIBRATE; FLUCONAZOLE; FLUOROURACIL; FLUOXETINE; HEPARIN; IMATINIB; LEFLUNOMIDE; LEVOFLOXACIN; METHOTREXATE; METRONIDAZOLE; MOXIFLOXACIN; NANDROLONE; NAPROXEN; PAROXETINE; UNINDEXED DRUG; WARFARIN;

ACCURACY; ADULT; ADVERSE DRUG REACTION; AGED; ARTICLE; CLINICAL DECISION MAKING; DOSE RESPONSE; DRUG ANTAGONISM; DRUG SAFETY; FEMALE; HUMAN; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; PREDICTIVE VALUE; PRESCRIPTION; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE;

ALGORITHMS; ANTICOAGULANTS; DATABASES, FACTUAL; DECISION SUPPORT TECHNIQUES; DRUG TOXICITY; HUMANS; SUPPORT VECTOR MACHINES; TAIWAN; WARFARIN;

COAGULANTS; DECISION MAKING; DRUGS; ERRORS; FORESTRY; HEALTH; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

EID: 84865552342     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2012.04.001     Document Type: Article

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