Prediction of ecstasy consumption by artificial neural networks;Prediccion del consumo de extasis a partir de redes neuronales artificiales

Adicciones

Volumn 12, Issue 1, 2000, Pages 29-41

  Palmer Pol, A ^a   Montano Moreno, J J ^a   Calafat Far, A ^a  

^a UNIVERSITAT DE LES ILLES BALEARS   (Spain)

Author keywords

Artificial neural networks ecstasy; Pattern classification; Risk factors

Indexed keywords

3,4 METHYLENEDIOXYMETHAMPHETAMINE;

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DRUG DEPENDENCE; DRUG USE; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MODEL; RECEIVER OPERATING CHARACTERISTIC; RISK FACTOR; VALIDATION PROCESS;

EID: 0034080313     PISSN: 02144840     EISSN: None     Source Type: Journal    
DOI: 10.20882/adicciones.623     Document Type: Article

References (40)