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计算机辅助尸体识别(CAPMI)系统:排序算法改进

The Computer-Assisted Postmortem Identification (CAPMI) system: sorting algorithm improvements.

作者信息

Lorton L, Rethman M, Friedman R

机构信息

U.S. Army Institute of Dental Research, Walter Reed Army Medical Center, Washington, D.C.

出版信息

J Forensic Sci. 1989 Jul;34(4):996-1002.

PMID:2760595
Abstract

Refinements to the original Computer-Assisted Postmortem Identification (CAPMI) software algorithms and general data handling were suggested as a result of observations made following the Gander plane crash of 1985. The presence of highly fragmented and scattered remains following most plane crashes suggested that changes to procedure might improve CAPMI performance for use in these types of disasters. A total of 162 ante- and postmortem dental records which had been used successfully to identify victims of the Gander disaster were coded for anonymity and used for this investigation. Changes in data construction and management were made to CAPMI, according to concepts which were thought might improve system performance, and tested. Although most tested techniques improved CAPMI performance, the data suggested that replacement of "virgin" chartings with "data unknown" results in improved performance of CAPMI largely independent of other factors. Of 162 possible record matches, the original algorithm successfully listed the true record match in the top 20 possibilities 74% of the time; the tested variations on the original algorithm yielded results across a range of 38 to 83% successes, with most techniques performing better than the original algorithm. Results of this investigation have been incorporated into improved CAPMI procedures and software.

摘要

1985年甘德空难后所做的观察结果表明,需要对原始的计算机辅助尸体识别(CAPMI)软件算法和一般数据处理进行改进。大多数空难后都会出现高度碎片化和分散的遗体,这表明改变程序可能会提高CAPMI在这类灾难中的应用性能。总共162份生前和死后的牙科记录被成功用于识别甘德灾难的受害者,这些记录被编码以确保匿名,并用于此次调查。根据认为可能会提高系统性能的概念,对CAPMI的数据构建和管理进行了更改并进行了测试。尽管大多数测试技术都提高了CAPMI的性能,但数据表明,用“数据未知”取代“原始”图表记录能在很大程度上独立于其他因素提高CAPMI的性能。在162种可能的记录匹配中,原始算法有74%的时间能在前20种可能性中成功列出真正的记录匹配;对原始算法进行测试的变体成功率在38%至83%之间,大多数技术的表现优于原始算法。本次调查的结果已被纳入改进后的CAPMI程序和软件中。

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