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
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
  • [41] Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis
    Rybinski, Maciej
    Dai, Xiang
    Singh, Sonit
    Karimi, Sarvnaz
    Nguyen, Anthony
    JMIR MEDICAL INFORMATICS, 2021, 9 (04)
  • [42] OPTIMIZATION OF NATURAL LANGUAGE PROCESSING-SUPPORTED COMORBIDITY CLASSIFICATION ALGORITHMS IN ELECTRONIC HEALTH RECORDS
    Hooley, I
    Chen, R.
    Long, L.
    Cohen, A.
    Adamson, B.
    VALUE IN HEALTH, 2019, 22 : S87 - S87
  • [43] Incorporating natural language processing to improve classification of axial spondyloarthritis using electronic health records
    Zhao, Sizheng Steven
    Hong, Chuan
    Cai, Tianrun
    Xu, Chang
    Huang, Jie
    Ermann, Joerg
    Goodson, Nicola J.
    Solomon, Daniel H.
    Cai, Tianxi
    Liao, Katherine P.
    RHEUMATOLOGY, 2020, 59 (05) : 1059 - 1065
  • [44] Prediction of Psychiatric Readmission Risk in Psychosis Patients With Natural Language Processing of Electronic Health Records
    Mellado, Elena Alvarez
    Holderness, Eben
    Miller, Nicholas
    Bolton, Kirsten
    Cawkwell, Philip
    Pustejovsky, James
    Hall, Mei-Hua
    NEUROPSYCHOPHARMACOLOGY, 2019, 44 (SUPPL 1) : 187 - 187
  • [45] RETRACTED ARTICLE: Analysis of Electronic Health Records Based on Deep Learning with Natural Language Processing
    Yi-Cheng Shen
    Te-Chun Hsia
    Ching-Hsien Hsu
    Arabian Journal for Science and Engineering, 2023, 48 : 2597 - 2597
  • [46] Validation of Phenotyping Algorithms for Stroke From Electronic Health Records Using Natural Language Processing
    Zhao, Yiqing
    Fu, Suyang
    Larson, Nicholas B.
    Decker, Paul A.
    Chamberlain, Alanna M.
    Roger, Veronique L.
    Liu, Hongfang
    Bielinski, Suzette J.
    CIRCULATION, 2019, 139
  • [47] Natural language processing of electronic health records for early detection of cognitive decline: a systematic review
    Ravi Shankar
    Anjali Bundele
    Amartya Mukhopadhyay
    npj Digital Medicine, 8 (1)
  • [48] Modeling the Autism Spectrum Disorder Phenotype
    Alexa T. McCray
    Philip Trevvett
    H. Robert Frost
    Neuroinformatics, 2014, 12 : 291 - 305
  • [49] Modeling the Autism Spectrum Disorder Phenotype
    McCray, Alexa T.
    Trevvett, Philip
    Frost, H. Robert
    NEUROINFORMATICS, 2014, 12 (02) : 291 - 305
  • [50] Comparing natural language processing representations of coded disease sequences for prediction in electronic health records
    Beaney, Thomas
    Jha, Sneha
    Alaa, Asem
    Smith, Alexander
    Clarke, Jonathan
    Woodcock, Thomas
    Majeed, Azeem
    Aylin, Paul
    Barahona, Mauricio
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2024, 31 (07) : 1451 - 1462