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Connection

Alexander Pearson to Cohort Studies

This is a "connection" page, showing publications Alexander Pearson has written about Cohort Studies.
Connection Strength

0.223
  1. Machine Learning-Guided Adjuvant Treatment of Head and Neck Cancer. JAMA Netw Open. 2020 11 02; 3(11):e2025881.
    View in: PubMed
    Score: 0.120
  2. Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study. Lancet Digit Health. 2021 10; 3(10):e654-e664.
    View in: PubMed
    Score: 0.032
  3. Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning. Gastroenterology. 2020 10; 159(4):1406-1416.e11.
    View in: PubMed
    Score: 0.029
  4. Machine learning can identify newly diagnosed patients with CLL at high risk of infection. Nat Commun. 2020 01 17; 11(1):363.
    View in: PubMed
    Score: 0.028
  5. Postnatal exposure to methyl mercury from fish consumption: a review and new data from the Seychelles Child Development Study. Neurotoxicology. 2009 May; 30(3):338-49.
    View in: PubMed
    Score: 0.013
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.