Brett Beaulieu-Jones to Humans
This is a "connection" page, showing publications Brett Beaulieu-Jones has written about Humans.
Connection Strength
0.306
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Leveraging Foundational Models in Computational Biology: Validation, Understanding, and Innovation. Pac Symp Biocomput. 2025; 30:702-705.
Score: 0.029
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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: 0.027
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Opportunities and challenges for biomarker discovery using electronic health record data. Trends Mol Med. 2023 09; 29(9):765-776.
Score: 0.026
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Packaging Biocomputing Software to Maximize Distribution and Reuse. Pac Symp Biocomput. 2022; 27:412-416.
Score: 0.024
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Examining the Use of Real-World Evidence in the Regulatory Process. Clin Pharmacol Ther. 2020 04; 107(4):843-852.
Score: 0.020
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Trends and Focus of Machine Learning Applications for Health Research. JAMA Netw Open. 2019 10 02; 2(10):e1914051.
Score: 0.020
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Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing. Circ Cardiovasc Qual Outcomes. 2019 07; 12(7):e005122.
Score: 0.020
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Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes. Pac Symp Biocomput. 2019; 24:8-17.
Score: 0.019
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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: 0.018
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MISSING DATA IMPUTATION IN THE ELECTRONIC HEALTH RECORD USING DEEPLY LEARNED AUTOENCODERS. Pac Symp Biocomput. 2017; 22:207-218.
Score: 0.017
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Semi-supervised learning of the electronic health record for phenotype stratification. J Biomed Inform. 2016 12; 64:168-178.
Score: 0.016
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Predicting Resection Weights of Reduction Mammaplasty: A Multi-Institutional Retrospective Analysis Using Machine Learning. Plast Reconstr Surg. 2026 01 01; 157(1):9-17.
Score: 0.007
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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: 0.006
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Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2. BMJ Open. 2022 06 23; 12(6):e057725.
Score: 0.006
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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: 0.006
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Comment on: Truth and truthiness: evidence, experience and clinical judgement in surgery. Br J Surg. 2021 12 01; 108(12):e417.
Score: 0.006
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Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19. Sci Rep. 2021 10 12; 11(1):20238.
Score: 0.006
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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: 0.006
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Accelerating diagnosis of Parkinson's disease through risk prediction. BMC Neurol. 2021 May 18; 21(1):201.
Score: 0.006
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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: 0.006
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Temporal bias in case-control design: preventing reliable predictions of the future. Nat Commun. 2021 02 17; 12(1):1107.
Score: 0.006
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Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist. Nat Med. 2020 09; 26(9):1320-1324.
Score: 0.005
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Opportunities and obstacles for deep learning in biology and medicine. J R Soc Interface. 2018 04; 15(141).
Score: 0.005