Predicting prolonged length of hospital stay in older emergency department users: Use of a novel analysis method, the Artificial Neural Network

European Journal of Internal Medicine

Volumn 26, Issue 7, 2015, Pages 478-482

  Launay, C P ^a   Riviere H ^a   Kabeshova, A ^a   Beauchet, O ^a,b,c  

^a ANGERS UNIVERSITY HOSPITAL   (France)

^b MCGILL UNIVERSITY   (Canada)

^c Biomathics   (France)

Author keywords

Artificial neural network; Elderly; Inpatients; Length of hospital stay; Screening

Indexed keywords

ANTIDEPRESSANT AGENT; BENZODIAZEPINE DERIVATIVE; NEUROLEPTIC AGENT;

AGED; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRIEF GERIATRIC ASSESSMENT; COHORT ANALYSIS; DISORIENTATION; EMERGENCY CARE; EMERGENCY WARD; FALLING; FEMALE; GERIATRIC ASSESSMENT; GERIATRIC CARE; HEALTH CARE UTILIZATION; HOME CARE; HOSPITAL ADMISSION; HOSPITALIZATION; HUMAN; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; MEDICAL HISTORY; OBSERVATIONAL STUDY; POLYPHARMACY; PREDICTIVE VALUE; PROSPECTIVE STUDY; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; VERY ELDERLY; EMERGENCY HEALTH SERVICE; FRANCE; ORGANIZATION AND MANAGEMENT; PROCEDURES; PROGNOSIS; RISK FACTOR; STATISTICS AND NUMERICAL DATA;

AGED, 80 AND OVER; EMERGENCY SERVICE, HOSPITAL; FRANCE; GERIATRIC ASSESSMENT; HUMANS; LENGTH OF STAY; MALE; POLYPHARMACY; PROGNOSIS; PROSPECTIVE STUDIES; RISK FACTORS; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 84941598975     PISSN: 09536205     EISSN: 18790828     Source Type: Journal    
DOI: 10.1016/j.ejim.2015.06.002     Document Type: Article

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