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Volumn 97, Issue 10, 2016, Pages 1663-1668.e3

Developing Artificial Neural Network Models to Predict Functioning One Year After Traumatic Spinal Cord Injury

Author keywords

Activities of daily living; Decision support techniques; Medical informatics; Rehabilitation; Spinal cord injuries

Indexed keywords

ADULT; AGED; AMERICAN SPINAL INJURY ASSOCIATION IMPAIRMENT SCALE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLADDER AND BOWEL MANAGEMENT; COHORT ANALYSIS; EATING; FEMALE; FUNCTIONAL STATUS; HOSPITAL DISCHARGE; HOSPITAL PATIENT; HUMAN; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL MODEL; MEASUREMENT ACCURACY; MOBILIZATION; MULTICENTER STUDY; NEUROREHABILITATION; PATIENT TRANSPORT; PREDICTIVE VALUE; RECEIVER OPERATING CHARACTERISTIC; REHABILITATION MEDICINE; RETROSPECTIVE STUDY; SELF CARE; SELF REPORT; SPINAL CORD INJURY; TOILETING; TRAUMATIC SPINAL CORD INJURY; CLINICAL TRIAL; CONVALESCENCE; DAILY LIFE ACTIVITY; PHYSIOLOGY; PHYSIOTHERAPY; REPRODUCIBILITY; SPINAL CORD INJURIES; STATISTICAL MODEL; THEORETICAL MODEL; WALKING;

EID: 85002836371     PISSN: 00039993     EISSN: 1532821X     Source Type: Journal    
DOI: 10.1016/j.apmr.2016.04.014     Document Type: Article
Times cited : (43)

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