Brett Beaulieu-Jones to Electronic Health Records
This is a "connection" page, showing publications Brett Beaulieu-Jones has written about Electronic Health Records.
Connection Strength
1.691
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MISSING DATA IMPUTATION IN THE ELECTRONIC HEALTH RECORD USING DEEPLY LEARNED AUTOENCODERS. Pac Symp Biocomput. 2017; 22:207-218.
Score: 0.436
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Semi-supervised learning of the electronic health record for phenotype stratification. J Biomed Inform. 2016 12; 64:168-178.
Score: 0.429
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Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study. Lancet Digit Health. 2023 12; 5(12):e882-e894.
Score: 0.176
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Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies. J Med Internet Res. 2023 05 25; 25:e45662.
Score: 0.170
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Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J Am Med Inform Assoc. 2021 07 14; 28(7):1411-1420.
Score: 0.149
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What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask. J Med Internet Res. 2021 03 02; 23(3):e22219.
Score: 0.145
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Mapping Patient Trajectories using Longitudinal Extraction and Deep Learning in the MIMIC-III Critical Care Database. Pac Symp Biocomput. 2018; 23:123-132.
Score: 0.117
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Temporal Trends in Clinical Evidence of 5-Year Survival Within Electronic Health Records Among Patients With Early-Stage Colon Cancer Managed With Laparoscopy-Assisted Colectomy vs Open Colectomy. JAMA Netw Open. 2022 06 01; 5(6):e2218371.
Score: 0.040
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Opportunities and obstacles for deep learning in biology and medicine. J R Soc Interface. 2018 04; 15(141).
Score: 0.030