(A175) Traffic Injury Severity Prediction by Algorithm of Automatic Crash Notification System
نویسندگان
چکیده
منابع مشابه
P9: Incidence of Spinal Cord Injury Caused by Road Traffic Crash in Tehran
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The objective of the study was to develop and evaluate a pediatric-specific advanced automatic crash notification (AACN) algorithm that uses a more comprehensive scoring system than the Abbreviated Injury Scale (AIS)-based severity to predict the risk that a child in a motor vehicle crash (MVC) is severely injured and requires treatment at a designated trauma center (TC). Though several researc...
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Earlier studies by the authors have proposed separating rollover crashes according to belt use, ejection status, and single vs. multiple harmful events. These different classifications were associated with differences that could substantially alter the risk of serious injury. For each classification, metrics to characterize rollover severity were presented. For most single vehicle crashes, the ...
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spinal cord injury (sci) is a devastating condition with enormous personal and social costs. to develop preventive strategies, the determination of epidemiological features and causes is required. due to iran's high incidence of road traffic crash (rtc) injuries, epidemiologic data concerning specific causes of sci may assist in reducing this national health dilemma. in a retrospective stu...
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ژورنال
عنوان ژورنال: Prehospital and Disaster Medicine
سال: 2011
ISSN: 1049-023X,1945-1938
DOI: 10.1017/s1049023x11001737