医学文献 >>
  • 检索发现
  • 增强检索
知识库 >>
  • 临床诊疗知识库
  • 中医药知识库
评价分析 >>
  • 机构
  • 作者
默认
×
热搜词:
换一批
论文 期刊
取消
高级检索

检索历史 清除

Development of Machine-learning Model to Predict Anticoagulant Use and Type in Geriatric Traumatic Brain Injury Using Coagulation Parameters.

广告
第一作者: Gaku,Fujiwara
第一单位: Department of Neurosurgery, Saiseikai Shiga Hospital, Imperial Gift Foundation Inc.
作者单位: Department of Neurosurgery, Saiseikai Shiga Hospital, Imperial Gift Foundation Inc. [1] Department of Preventive Services, School of Public Health, Kyoto University.;Health Services and Systems Research, Duke-NUS Medical School, National University of Singapore. [2] Department of Neurosurgery, International University of Health and Welfare School of Medicine. [3] Department of Neurosurgery, National Hospital Organization Disaster Medical Center. [4] Department of Neurosurgery, Tsuchiura Kyodo General Hospital. [5] Department of Neurosurgery, Kumamoto Red Cross Hospital. [6] Department of Neurosurgery, Sendai City Hospital. [7] Department of Neurosurgery, Chiba Emergency Medical Center. [8] Emergency Medical Center, Kagawa University Hospital. [9] Department of Neurosurgery, Yamaguchi University School of Medicine. [10] Department of Neurosurgery, Hyogo Prefectural Kakogawa Medical Center. [11] Department of Emergency and Critical Care Medicine, Graduate School of Medicine, Nippon Medical School. [12] Department of Neurosurgery, Institute of Science Tokyo. [13] Department of Neurological Surgery, Nihon University School of Medicine. [14] Department of Emergency Medicine, Teikyo University School of Medicine. [15] Department of Neurosurgery, St. Marianna University School of Medicine. [16] Iwate Prefectural Advanced Critical Care and Emergency Center, Iwate Medical University. [17] Department of Critical and Intensive Care Medicine, Shiga University of Medical Science. [18]
DOI 10.2176/jns-nmc.2024-0066
PMID 39721668
发布时间 2025-04-28
提交
  • 浏览0
Neurologia medico-chirurgica

相似文献

  • 中文期刊
  • 外文期刊
  • 学位论文
  • 会议论文

加载中!

加载中!

加载中!

加载中!

法律状态公告日 法律状态 法律状态信息

特别提示:本网站仅提供医学学术资源服务,不销售任何药品和器械,有关药品和器械的销售信息,请查阅其他网站。

  • 客服热线:4000-115-888 转3 (周一至周五:8:00至17:00)

  • |
  • 客服邮箱:yiyao@wanfangdata.com.cn

  • 违法和不良信息举报电话:4000-115-888,举报邮箱:problem@wanfangdata.com.cn,举报专区

官方微信
万方医学小程序
new医文AI 翻译 充值 订阅 收藏 移动端

官方微信

万方医学小程序

使用
帮助
Alternate Text
调查问卷