Detecting inpatient falls by using natural language processing of electronic medical records

被引：0
|
作者：
Shin-ichi Toyabe
机构：
[1] Niigata University Hospital,Niigata University Crisis Management Office
来源：
BMC Health Services Research | / 12卷
关键词：
Natural language processing; Text mining; Falls; Adverse events; Incident reports;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] CliniViewer: A tool for viewing electronic medical records based on natural language processing and XML
    Liu, HF
    Friedman, C
    MEDINFO 2004: PROCEEDINGS OF THE 11TH WORLD CONGRESS ON MEDICAL INFORMATICS, PT 1 AND 2, 2004, 107 : 639 - 643
  • [22] Improving Adherence to Clinical Pathways Through Natural Language Processing on Electronic Medical Records
    Cruz, Noa P.
    Canales, Lea
    Garcia Munoz, Javier
    Perez, Bernardino
    Arnott, Ignacio
    MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL, 2019, 264 : 561 - 565
  • [23] CliniViewer: A tool for viewing electronic medical records based on natural language processing and XML
    Liu, Hongfang
    Friedman, Carol
    Studies in Health Technology and Informatics, 2004, 107 : 639 - 643
  • [24] A Natural Language Processing Alogrithm for Identification of Patients With Cirrhosis From Electronic Medical Records
    Kung, Robert
    Ma, Ariel
    Dever, John B.
    Vadivelu, Jaya
    Cherk, Erika
    Koola, Jejo D.
    Groessl, Erik J.
    Matheny, Michael E.
    Ho, Samuel B.
    GASTROENTEROLOGY, 2015, 148 (04) : S1071 - S1072
  • [25] RUBY: Natural Language Processing of French Electronic Medical Records for Breast Cancer Research
    Schiappa, Renaud
    Contu, Sara
    Culie, Dorian
    Thamphya, Brice
    Chateau, Yann
    Gal, Jocelyn
    Bailleux, Caroline
    Haudebourg, Juliette
    Ferrero, Jean-Marc
    Barranger, Emmanuel
    Chamorey, Emmanuel
    JCO CLINICAL CANCER INFORMATICS, 2022, 6 : e2100199
  • [26] Machine learning and natural language processing to identify falls in electronic patient care records from ambulance attendances
    Tohira, Hideo
    Finn, Judith
    Ball, Stephen
    Brink, Deon
    Buzzacott, Peter
    INFORMATICS FOR HEALTH & SOCIAL CARE, 2022, 47 (04): : 403 - 413
  • [27] Natural Language Processing (NLP): Identifying Linguistic Gender Bias in Electronic Medical Records (EMRs)
    Xu, Site
    Sun, Mu
    JOURNAL OF PATIENT EXPERIENCE, 2025, 12
  • [28] Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records
    Savova, Guergana K.
    Danciu, Ioana
    Alamudun, Folami
    Miller, Timothy
    Lin, Chen
    Bitterman, Danielle S.
    Tourassi, Georgia
    Warner, Jeremy L.
    CANCER RESEARCH, 2019, 79 (21) : 5463 - 5470
  • [29] A Case Study of the Incremental Utility for Disease Identification of Natural Language Processing in Electronic Medical Records
    Weiss L.S.
    Zhou X.
    Walker A.M.
    Ananthakrishnan A.N.
    Shen R.
    Sobel R.E.
    Bate A.
    Reynolds R.F.
    Pharmaceutical Medicine, 2018, 32 (1) : 31 - 37
  • [30] Efficient Queries of Stand-off Annotations for Natural Language Processing on Electronic Medical Records
    Luo, Yuan
    Szolovits, Peter
    BIOMEDICAL INFORMATICS INSIGHTS, 2016, 8
12345