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Rapid trauma classification under data scarcity: an emergency on-scene decision model combining natural language processing and machine learning.

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Title: Rapid trauma classification under data scarcity: an emergency on-scene decision model combining natural language processing and machine learning.
Authors: Tang, Jun1, 1973474109@qq.com, Li, Tao2, lt200132@tmmu.edu.cn, Liu, Liangming2, lmliu62@tmmu.edu.cn, Wu, Dongdong1, 604269346@qq.com
Source: Medical & Biological Engineering & Computing; Dec2025, Vol. 63 Issue 12, p3521-3530, 10p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Rapid trauma classification under data scarcity: an emergency on-scene decision model combining natural language processing and machine learning.
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  Data: <searchLink fieldCode="AU" term="%22Tang%2C+Jun%22">Tang, Jun</searchLink><relatesTo>1</relatesTo>, <i>1973474109@qq.com</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Tao%22">Li, Tao</searchLink><relatesTo>2</relatesTo>, <i>lt200132@tmmu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Liangming%22">Liu, Liangming</searchLink><relatesTo>2</relatesTo>, <i>lmliu62@tmmu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wu%2C+Dongdong%22">Wu, Dongdong</searchLink><relatesTo>1</relatesTo>, <i>604269346@qq.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Medical+%26+Biological+Engineering+%26+Computing%22">Medical & Biological Engineering & Computing</searchLink>; Dec2025, Vol. 63 Issue 12, p3521-3530, 10p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189750695
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11517-025-03414-x
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      – Code: eng
        Text: English
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        StartPage: 3521
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            NameFull: Tang, Jun
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            NameFull: Li, Tao
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            NameFull: Liu, Liangming
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            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 63
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              Value: 12
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