Early recognition of multiple sclerosis using natural language processing of the electronic health record

被引：0
|
作者：
Herbert S. Chase
Lindsey R. Mitrani
Gabriel G. Lu
Dominick J. Fulgieri
机构：
[1] Columbia University Medical Center,Department of Biomedical Informatics
来源：
BMC Medical Informatics and Decision Making | / 17卷
关键词：
Early Diagnosis [E01.390]; Diagnostic errors [E01.354]; Diagnosis; Computer-assisted [E01.158]; Electronic health records [E05.318.308.940.968.249.500]; Natural language processing [L01.224.050.375.580]; multiple sclerosis [C10.114.375.500];
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
  • [31] ANALYSIS OF PRIMARY CARE PROVIDER ELECTRONIC HEALTH RECORD NOTES FOR DISCUSSIONS OF PREDIABETES USING NATURAL LANGUAGE PROCESSING METHODS
    Tseng, Eva
    Schwartz, Jessica L.
    Rouhizadeh, Masoud
    Maruthur, Nisa
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2020, 35 (SUPPL 1) : S11 - S12
  • [32] Improving the Efficiency of Clinical Trial Recruitment Using Electronic Health Record Data, Natural Language Processing, and Machine Learning
    Cai, Tianrun
    Cai, Fiona
    Dahal, Kumar
    Hong, Chuan
    Liao, Katherine
    ARTHRITIS & RHEUMATOLOGY, 2019, 71
  • [33] Analysis of Primary Care Provider Electronic Health Record Notes for Discussions of Prediabetes Using Natural Language Processing Methods
    Tseng, Eva
    Schwartz, Jessica L.
    Rouhizadeh, Masoud
    Maruthur, Nisa M.
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2021,
  • [34] Developing Natural Language Processing to Extract Complementary and Integrative Health Information from Electronic Health Record Data
    Zhou, Huixue
    2022 IEEE 10TH INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2022), 2022, : 474 - 475
  • [35] Pest Recognition Using Natural Language Processing
    Hernandez-Castillo, Carlos
    Hiram Guedea-Noriega, Hector
    Angel Rodriguez-Garcia, Miguel
    Garcia-Sanchez, Francisco
    TECHNOLOGIES AND INNOVATION (CITI 2019), 2019, 1124 : 3 - 16
  • [36] Automated Identification of Postoperative Complications Within an Electronic Medical Record Using Natural Language Processing
    Murff, Harvey J.
    FitzHenry, Fern
    Matheny, Michael E.
    Gentry, Nancy
    Kotter, Kristen L.
    Crimin, Kimberly
    Dittus, Robert S.
    Rosen, Amy K.
    Elkin, Peter L.
    Brown, Steven H.
    Speroff, Theodore
    JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2011, 306 (08): : 848 - 855
  • [37] Development of a natural language processing algorithm to extract seizure types and frequencies from the electronic health record
    Decker, Barbara M.
    Turco, Alexandra
    Xu, Jian
    Terman, Samuel W.
    Kosaraju, Nikitha
    Jamil, Alisha
    Davis, Kathryn A.
    Litt, Brian
    Ellis, Colin A.
    Khankhanian, Pouya
    Hill, Chloe E.
    SEIZURE-EUROPEAN JOURNAL OF EPILEPSY, 2022, 101 : 48 - 51
  • [38] EHRSUPPORT: NATURAL LANGUAGE PROCESSING OF TEXT NOTES ON SOCIAL SUPPORT IN THE ELECTRONIC HEALTH RECORD AND DATA AVAILABILITY
    Kroenke, Candyce
    Aoki, Rhonda-lee
    Alexeeff, Stacey
    Cronkite, David J.
    Mammini, Lauren
    Jones, Salene M.
    Kushi, Lawrence H.
    Strayhorn-Carter, Shaila
    Mosen, David
    Carrell, David
    ANNALS OF BEHAVIORAL MEDICINE, 2023, 57 : S280 - S280
  • [39] DEVELOPMENT OF A NATURAL LANGUAGE PROCESSING ALGORITHM TO IDENTIFY AND EVALUATE TRANSGENDER PATIENTS IN ELECTRONIC HEALTH RECORD SYSTEMS
    Ehrenfelt, Jesse M.
    Gottlieb, Keanan Gabriel
    Beach, Lauren Brittany
    Monahan, Shelby E.
    Fabbri, Daniel
    ETHNICITY & DISEASE, 2019, 29 : 441 - 450
  • [40] Leveraging natural language processing to identify eligible lung cancer screening patients with the electronic health record
    Liu, Siru
    McCoy, Allison B.
    Aldrich, Melinda C.
    Sandler, Kim L.
    Reese, Thomas J.
    Steitz, Bryan
    Bian, Jiang
    Wu, Yonghui
    Russo, Elise
    Wright, Adam
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2023, 177
12345