Improving the Efficiency of Clinical Trial Recruitment Using Electronic Health Record Data, Natural Language Processing, and Machine Learning

被引：0
|
作者：
Cai, Tianrun [1 ]
Cai, Fiona [2 ]
Dahal, Kumar [1 ]
Hong, Chuan [3 ]
Liao, Katherine [1 ]
机构：
[1] Brigham & Womens Hosp, 75 Francis St, Boston, MA 02115 USA
[2] Stuyvesant High Sch, New York, NY USA
[3] Harvard Med Sch, Boston, MA 02115 USA
来源：
ARTHRITIS & RHEUMATOLOGY | 2019年 / 71卷
关键词：
D O I：
暂无
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
2910
引用
收藏
页数：3
相关论文
共 50 条
  • [1] Using Natural Language Processing and Machine Learning to Identify Opioids in Electronic Health Record Data
    McDermott, Sean P.
    Wasan, Ajay D.
    [J]. JOURNAL OF PAIN RESEARCH, 2023, 16 : 2133 - 2140
  • [2] Identifying Goals of Care Conversations in the Electronic Health Record Using Natural Language Processing and Machine Learning
    Lee, Robert Y.
    Brumback, Lyndia C.
    Lober, William B.
    Sibley, James
    Nielsen, Elizabeth L.
    Treece, Patsy D.
    Kross, Erin K.
    Loggers, Elizabeth T.
    Fausto, James A.
    Lindvall, Charlotta
    Engelberg, Ruth A.
    Curtis, J. Randall
    [J]. JOURNAL OF PAIN AND SYMPTOM MANAGEMENT, 2021, 61 (01) : 136 - +
  • [3] Identifying Goals-of-Care Conversations in the Electronic Health Record Using Machine Learning and Natural Language Processing
    Lee, R. Y.
    Lober, W. B.
    Sibley, J.
    Kross, E. K.
    Engelberg, R. A.
    Curtis, J. R.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2019, 199
  • [4] Machine Learning, Natural Language Processing, and the Electronic Health Record: Innovations in Mental Health Services Research
    Edgcomb, Juliet Beni
    Zima, Bonnie
    [J]. PSYCHIATRIC SERVICES, 2019, 70 (04) : 346 - 349
  • [5] Interface terminology: Natural language processing of clinical data in Electronic Health Record narratives
    de Souza, Amanda Damasceno
    Correa, Fabio
    de Araujo Nery Ribeiro, Jurema Suely
    de Carvalho Dutra, Frederico Giffoni
    da Silva, Helton Junio
    Felipe, Eduardo Ribeiro
    [J]. ENCONTROS BIBLI-REVISTA ELETRONICA DE BIBLIOTECONOMIA E CIENCIA DA INFORMACAO, 2024, 29
  • [6] Improving the Efficiency of Clinical Trial Recruitment Using an Ensemble Machine Learning to Assist With Eligibility Screening
    Cai, Tianrun
    Cai, Fiona
    Dahal, Kumar P.
    Cremone, Gabrielle
    Lam, Ethan
    Golnik, Charlotte
    Seyok, Thany
    Hong, Chuan
    Cai, Tianxi
    Liao, Katherine P.
    [J]. ACR OPEN RHEUMATOLOGY, 2021, 3 (09) : 593 - 600
  • [7] Using natural language processing to identify opioid use disorder in electronic health record data
    Singleton, Jade
    Li, Chengxi
    Akpunonu, Peter D.
    Abner, Erin L.
    Kucharska-Newton, Anna M.
    [J]. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2023, 170
  • [8] Automated risk assessment of newly detected atrial fibrillation poststroke from electronic health record data using machine learning and natural language processing
    Sung, Sheng-Feng
    Sung, Kuan-Lin
    Pan, Ru-Chiou
    Lee, Pei-Ju
    Hu, Ya-Han
    [J]. FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9
  • [9] Using Natural Language Processing and Machine Learning to Identify Incident Stroke From Electronic Health Records
    Zhao, Yiqing
    Fu, Sunyang
    Bielinski, Suzette J.
    Decker, Paul
    Chamberlain, Alanna M.
    Roger, Veronique L.
    Liu, Hongfang
    Larson, Nicolas B.
    [J]. CIRCULATION, 2020, 141
  • [10] Using Natural Language Processing and Machine Learning To Identify Gout Flares From Electronic Clinical Notes
    Zheng, Chengyi
    Rashid, Nazia
    Cheetham, T. Craig
    Wu, Yi-Lin
    Levy, Gerald D.
    [J]. ARTHRITIS AND RHEUMATISM, 2013, 65 : S856 - S857
12345