Predicting severe head injury after light motor vehicle crashes: Implications for automatic crash notification systems

Accident Analysis and Prevention

Volumn 38, Issue 4, 2006, Pages 767-771

  Talmor, Daniel ^a   Thompson, Kimberly M ^b   Legedza, Anna T R ^a   Nirula, Ram ^c  

^a HARVARD MEDICAL SCHOOL   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c MEDICAL COLLEGE OF WISCONSIN   (United States)

Author keywords

Automatic crash notification systems; Head injury; Motor vehicle crashes

Indexed keywords

ACCIDENT PREVENTION; INFORMATION ANALYSIS; MATHEMATICAL MODELS; SAMPLING;

AUTOMATIC CRASH NOTIFICATION SYSTEMS; KWD HEAD INJURY; MOTOR VEHICLE CRASHES;

GROUND VEHICLES;

ADULT; ARTICLE; CLASSIFICATION; CROSS-SECTIONAL STUDY; EMERGENCY HEALTH SERVICE; FEMALE; FORECASTING; HEAD INJURY; HUMAN; MALE; MULTIVARIATE ANALYSIS; RISK ASSESSMENT; RISK FACTOR; ROC CURVE; SEATBELT; STATISTICAL MODEL; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; ADULT; CRANIOCEREBRAL TRAUMA; CROSS-SECTIONAL STUDIES; EMERGENCY MEDICAL SERVICES; FEMALE; FORECASTING; HUMANS; MALE; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; RISK ASSESSMENT; RISK FACTORS; ROC CURVE; SEAT BELTS; TRIAGE;

EID: 33646351949     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2006.01.008     Document Type: Article

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