Connection

DAVID BATES to Machine Learning

This is a "connection" page, showing publications DAVID BATES has written about Machine Learning.
Connection Strength

1.575
  1. Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence. Ann Intern Med. 2020 06 02; 172(11 Suppl):S137-S144.
    View in: PubMed
    Score: 0.581
  2. Looking Beyond Mortality Prediction: Primary Care Physician Views of Patients' Palliative Care Needs Predicted by a Machine Learning Tool. Appl Clin Inform. 2024 May; 15(3):460-468.
    View in: PubMed
    Score: 0.190
  3. Improved accuracy and efficiency of primary care fall risk screening of older adults using a machine learning approach. J Am Geriatr Soc. 2024 Apr; 72(4):1145-1154.
    View in: PubMed
    Score: 0.187
  4. Call for better systems and data to support artificial intelligence for pandemic response. BMJ Health Care Inform. 2022 01; 29(1).
    View in: PubMed
    Score: 0.162
  5. Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review. Lancet Digit Health. 2022 02; 4(2):e137-e148.
    View in: PubMed
    Score: 0.161
  6. Predicting pressure injury using nursing assessment phenotypes and machine learning methods. J Am Med Inform Assoc. 2021 03 18; 28(4):759-765.
    View in: PubMed
    Score: 0.154
  7. Artificial intelligence in oncology: Path to implementation. Cancer Med. 2021 06; 10(12):4138-4149.
    View in: PubMed
    Score: 0.039
  8. Predicting Self-Rated Health Across the Life Course: Health Equity Insights from Machine Learning Models. J Gen Intern Med. 2021 05; 36(5):1181-1188.
    View in: PubMed
    Score: 0.038
  9. Stepped-wedge randomised trial to evaluate population health intervention designed to increase appropriate anticoagulation in patients with atrial fibrillation. BMJ Qual Saf. 2019 10; 28(10):835-842.
    View in: PubMed
    Score: 0.034
  10. Screening for medication errors using an outlier detection system. J Am Med Inform Assoc. 2017 03 01; 24(2):281-287.
    View in: PubMed
    Score: 0.029
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.