This paper is in the following e-collection/theme issue:

Tutorial (64) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (565) Clinical Information and Decision Making (1373) Data Science (256) Electronic Health Records (1034) Clinical Informatics (989)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45662, first published .
Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies

Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies

Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies

Authors of this article:

Jue Hou1 Author Orcid Image ;   Rachel Zhao2 Author Orcid Image ;   Jessica Gronsbell3 Author Orcid Image ;   Yucong Lin4 Author Orcid Image ;   Clara-Lea Bonzel5 Author Orcid Image ;   Qingyi Zeng1 Author Orcid Image ;   Sinian Zhang6 Author Orcid Image ;   Brett K Beaulieu-Jones7 Author Orcid Image ;   Griffin M Weber5 Author Orcid Image ;   Thomas Jemielita8 Author Orcid Image ;   Shuyan Sabrina Wan8 Author Orcid Image ;   Chuan Hong9 Author Orcid Image ;   Tianrun Cai5 Author Orcid Image ;   Jun Wen5 Author Orcid Image ;   Vidul Ayakulangara Panickan5 Author Orcid Image ;   Kai-Li Liaw8 Author Orcid Image ;   Katherine Liao5, 10 Author Orcid Image ;   Tianxi Cai5, 11 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

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  2. Nogues I, Wen J, Zhao Y, Bonzel C, Castro V, Lin Y, Xu S, Hou J, Cai T. Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records. Journal of Biomedical Informatics 2024;157:104685 View
  3. Yang H, Zhou S, Rao Z, Zhao C, Cui E, Shenoy C, Blaes A, Paidimukkala N, Wang J, Hou J, Zhang R. Multi-modality risk prediction of cardiovascular diseases for breast cancer cohort in the All of Us Research Program. Journal of the American Medical Informatics Association 2024 View
  4. Pavia G, Branda F, Ciccozzi A, Romano C, Locci C, Azzena I, Pascale N, Marascio N, Quirino A, Matera G, Giovanetti M, Casu M, Sanna D, Ceccarelli G, Ciccozzi M, Scarpa F. Integrating Digital Health Solutions with Immunization Strategies: Improving Immunization Coverage and Monitoring in the Post-COVID-19 Era. Vaccines 2024;12(8):847 View
  5. Aramruang T, Malhotra A, Numthavaj P, Looareesuwan P, Anothaisintawee T, Dejthevaporn C, Sirirutbunkajorn N, Attia J, Thakkinstian A. Prediction models for identifying medication overuse or medication overuse headache in migraine patients: a systematic review. The Journal of Headache and Pain 2024;25(1) View