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Connection

Brett Beaulieu-Jones to Machine Learning

This is a "connection" page, showing publications Brett Beaulieu-Jones has written about Machine Learning.
Connection Strength

2.004
  1. Trends and Focus of Machine Learning Applications for Health Research. JAMA Netw Open. 2019 10 02; 2(10):e1914051.
    View in: PubMed
    Score: 0.572
  2. Mapping Patient Trajectories using Longitudinal Extraction and Deep Learning in the MIMIC-III Critical Care Database. Pac Symp Biocomput. 2018; 23:123-132.
    View in: PubMed
    Score: 0.507
  3. Reproducibility of computational workflows is automated using continuous analysis. Nat Biotechnol. 2017 04; 35(4):342-346.
    View in: PubMed
    Score: 0.479
  4. 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.
    View in: PubMed
    Score: 0.191
  5. Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes. Pac Symp Biocomput. 2019; 24:8-17.
    View in: PubMed
    Score: 0.136
  6. 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.
    View in: PubMed
    Score: 0.040
  7. Accelerating diagnosis of Parkinson's disease through risk prediction. BMC Neurol. 2021 May 18; 21(1):201.
    View in: PubMed
    Score: 0.040
  8. Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist. Nat Med. 2020 09; 26(9):1320-1324.
    View in: PubMed
    Score: 0.038
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.