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Connection

David Kennedy to Machine Learning

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This is a "connection" page, showing publications David Kennedy has written about Machine Learning.
David Kennedy
Connection Strength
0.047
Machine Learning
  1. Geraghty RM, Wilson I, Olinger E, Cook P, Troup S, Kennedy D, Rogers A, Somani BK, Dhayat NA, Fuster DG, Sayer JA. Routine Urinary Biochemistry Does Not Accurately Predict Stone Type Nor Recurrence in Kidney Stone Formers: A Multicentre, Multimodel, Externally Validated Machine-Learning Study. J Endourol. 2023 12; 37(12):1295-1304.
    View in: PubMed
    Score: 0.047
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.