Deploying machine learning algorithms to stratify patients with inflammatory bowel disease using routinely collected electronic health records

被引:0
|
作者
Mian, H. A. [1 ]
Radia, C. [2 ]
Sarras, K. [3 ]
Hayee, B. [4 ]
Al-Agil, M. [5 ]
Patel, M. [3 ]
Kent, A. [4 ]
Dubois, P. [3 ]
Pavlidis, P. [6 ]
Iniesta, R. [1 ]
机构
[1] Kings Coll London, Dept Biostat & Hlth Informat, London, England
[2] Kings Coll London, Dept Gastroenterol, IBD Serv, London, England
[3] Kings Coll Hosp London, Dept Gastroenterol, London, England
[4] Kings Coll Hosp London, Gatroenterol, London, England
[5] Kings Coll Hosp London, Cogstalk, London, England
[6] Kings Coll HospitalNHS Fdn Trust, Dept Gastroenterol, IBD Serv, London, England
来源
关键词
D O I
暂无
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
P455
引用
收藏
页码:I913 / I913
页数:1
相关论文
共 50 条
  • [11] Performance of Machine Learning Algorithms for Predicting Disease Activity in Inflammatory Bowel Disease
    Weimin Cai
    Jun Xu
    Yihan Chen
    Xiao Wu
    Yuan Zeng
    Fujun Yu
    Inflammation, 2023, 46 : 1561 - 1574
  • [12] DEVELOPMENT OF MACHINE LEARNING ALGORITHM USING ROUTINELY COLLECTED ELECTRONIC HEALTH RECORD (EHR) VARIABLES FOR FALL-RISK ASSESSMENT IN HOSPITALIZED PATIENTS
    Kim, K. M.
    Jang, S. A.
    Kim, Y. J.
    Kim, C. S.
    Park, S. W.
    AGING CLINICAL AND EXPERIMENTAL RESEARCH, 2023, 35 : S509 - S510
  • [13] A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history
    Maurits, Marc P.
    Korsunsky, Ilya
    Raychaudhuri, Soumya
    Murphy, Shawn N.
    Smoller, Jordan W.
    Weiss, Scott T.
    Huizinga, Thomas W. J.
    Reinders, Marcel J. T.
    Karlson, Elizabeth W.
    van den Akker, Erik B.
    Knevel, Rachel
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2022, 29 (05) : 761 - 769
  • [14] ROUTINELY COLLECTED BLOODWORK REVEALS IMMUNE CELL PATTERNS THAT REFLECT DISEASE ACTIVITY IN PATIENTS WITH INFLAMMATORY BOWEL DISEASE
    Briand, Peyton
    Mulder, Daniel
    INFLAMMATORY BOWEL DISEASES, 2024, 30 : S22 - S22
  • [15] USING ROUTINELY COLLECTED PATIENT REPORTED OUTCOME MEASURES TO EFFICIENTLY IDENTIFY MENTAL HEALTH DISORDERS IN INFLAMMATORY BOWEL DISEASE CLINICS
    Sheehan, Jessica L.
    Johnson, Laura
    Cohen-Mekelburg, Shirley
    Higgins, Peter D.
    GASTROENTEROLOGY, 2024, 166 (05) : S852 - S853
  • [16] ROUTINELY COLLECTED BLOODWORK REVEALS IMMUNE CELL PATTERNS THAT REFLECT DISEASE ACTIVITY IN PATIENTS WITH INFLAMMATORY BOWEL DISEASE
    Briand, Peyton
    Mulder, Daniel
    GASTROENTEROLOGY, 2024, 166 (03) : S31 - S31
  • [17] Subphenotyping depression using machine learning and electronic health records
    Xu, Zhenxing
    Wang, Fei
    Adekkanattu, Prakash
    Bose, Budhaditya
    Vekaria, Veer
    Brandt, Pascal
    Jiang, Guoqian
    Kiefer, Richard C.
    Luo, Yuan
    Pacheco, Jennifer A.
    Rasmussen, Luke V.
    Xu, Jie
    Alexopoulos, George
    Pathak, Jyotishman
    LEARNING HEALTH SYSTEMS, 2020, 4 (04):
  • [18] Calculating Total Health Service Utilisation and Costs from Routinely Collected Electronic Health Records Using the Example of Patients with Irritable Bowel Syndrome Before and After Their First Gastroenterology Appointment
    Caroline Canavan
    Joe West
    Timothy Card
    PharmacoEconomics, 2016, 34 : 181 - 194
  • [19] Calculating Total Health Service Utilisation and Costs from Routinely Collected Electronic Health Records Using the Example of Patients with Irritable Bowel Syndrome Before and After Their First Gastroenterology Appointment
    Canavan, Caroline
    West, Joe
    Card, Timothy
    PHARMACOECONOMICS, 2016, 34 (02) : 181 - 194
  • [20] Predicting hypoglycemia in critically Ill patients using machine learning and electronic health records
    Mantena, Sreekar
    Arevalo, Aldo Robles
    Maley, Jason H.
    Vieira, Susana M. da Silva
    Mateo-Collado, Roselyn
    Sousa, Joao M. da Costa
    Celi, Leo Anthony
    JOURNAL OF CLINICAL MONITORING AND COMPUTING, 2022, 36 (05) : 1297 - 1303