Development of a phenotype ontology for autism spectrum disorder by natural language processing on electronic health records

被引：0
|
作者：
Mengge Zhao
James Havrilla
Jacqueline Peng
Madison Drye
Maddie Fecher
Whitney Guthrie
Birkan Tunc
Robert Schultz
Kai Wang
Yunyun Zhou
机构：
[1] Children’s Hospital of Philadelphia,Raymond G. Perelman Center for Cellular and Molecular Therapeutics
[2] University of Pennsylvania,School of Engineering and Applied Science
[3] Children’s Hospital of Philadelphia,Center for Autism Research
[4] University of Pennsylvania,Departments of Pediatrics and Psychiatry, Perelman School of Medicine
[5] University of Pennsylvania,Department of Pathology and Laboratory Medicine
来源：
Journal of Neurodevelopmental Disorders | 2022年 / 14卷
关键词：
Autism; Autism spectrum disorder; Natural language processing; Terminology set; Phenotype ontology; Electronic health record;
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] Natural language processing for electronic health records in anaesthesiology: an introduction to clinicians with recommendations and pitfalls
    Bernstorff, Martin
    Vistisen, Simon Tilma
    Enevoldsen, Kenneth C.
    JOURNAL OF CLINICAL MONITORING AND COMPUTING, 2024, 38 (02) : 241 - 245
  • [22] Using Natural Language Processing to Identify Different Lens Pathology in Electronic Health Records
    Stein, Joshua d.
    Zhou, Yunshu
    Andrews, Chris a.
    Kim, Judy e.
    Addis, Victoria
    Bixler, Jill
    Grove, Nathan
    Mcmillan, Brian
    Munir, Saleha z.
    Pershing, Suzann
    Schultz, Jeffrey s.
    Stagg, Brian c.
    Wang, Sophia y.
    Woreta, Fasika
    AMERICAN JOURNAL OF OPHTHALMOLOGY, 2024, 262 : 153 - 160
  • [23] Cohort design and natural language processing to reduce bias in electronic health records research
    Khurshid, Shaan
    Reeder, Christopher
    Harrington, Lia X.
    Singh, Pulkit
    Sarma, Gopal
    Friedman, Samuel F.
    Di Achille, Paolo
    Diamant, Nathaniel
    Cunningham, Jonathan W.
    Turner, Ashby C.
    Lau, Emily S.
    Haimovich, Julian S.
    Al-Alusi, Mostafa A.
    Wang, Xin
    Klarqvist, Marcus D. R.
    Ashburner, Jeffrey M.
    Diedrich, Christian
    Ghadessi, Mercedeh
    Mielke, Johanna
    Eilken, Hanna M.
    McElhinney, Alice
    Derix, Andrea
    Atlas, Steven J.
    Ellinor, Patrick T.
    Philippakis, Anthony A.
    Anderson, Christopher D.
    Ho, Jennifer E.
    Batra, Puneet
    Lubitz, Steven A.
    NPJ DIGITAL MEDICINE, 2022, 5 (01)
  • [24] Natural language processing for electronic health records in anaesthesiology: an introduction to clinicians with recommendations and pitfalls
    Martin Bernstorff
    Simon Tilma Vistisen
    Kenneth C. Enevoldsen
    Journal of Clinical Monitoring and Computing, 2024, 38 : 241 - 245
  • [25] NATURAL LANGUAGE PROCESSING METHODS ENHANCE MACE IDENTIFICATION FROM ELECTRONIC HEALTH RECORDS
    St Laurent, S.
    Guo, M.
    Alfonso, R.
    Okoro, T.
    Johansen, K.
    Dember, L.
    Lindsay, A.
    VALUE IN HEALTH, 2018, 21 : S217 - S217
  • [26] Ascertainment of Delirium Status Using Natural Language Processing From Electronic Health Records
    Fu, Sunyang
    Lopes, Guilherme S.
    Pagali, Sandeep R.
    Thorsteinsdottir, Bjoerg
    LeBrasseur, Nathan K.
    Wen, Andrew
    Liu, Hongfang
    Rocca, Walter A.
    Olson, Janet E.
    St Sauver, Jennifer
    Sohn, Sunghwan
    JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES, 2022, 77 (03): : 524 - 530
  • [27] Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Health Records
    Jeffrey Thompson
    Jinxiang Hu
    Dinesh Pal Mudaranthakam
    David Streeter
    Lisa Neums
    Michele Park
    Devin C. Koestler
    Byron Gajewski
    Roy Jensen
    Matthew S. Mayo
    Scientific Reports, 9
  • [28] Colonoscopy quality, quality measures, and a natural language processing tool for electronic health records
    Deutsch, John C.
    GASTROINTESTINAL ENDOSCOPY, 2012, 75 (06) : 1240 - 1242
  • [29] Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Health Records
    Thompson, Jeffrey
    Hu, Jinxiang
    Mudaranthakam, Dinesh Pal
    Streeter, David
    Neums, Lisa
    Park, Michele
    Koestler, Devin C.
    Gajewski, Byron
    Jensen, Roy
    Mayo, Matthew S.
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [30] Using a natural language processing toolkit to classify electronic health records by psychiatric diagnosis
    Hutto, Alissa
    Zikry, Tarek M.
    Bohac, Buck
    Rose, Terra
    Staebler, Jasmine
    Slay, Janet
    Cheever, C. Ray
    Kosorok, Michael R.
    Nash, Rebekah P.
    HEALTH INFORMATICS JOURNAL, 2024, 30 (04)
12345