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Feasibility of Machine Learning and Logistic Regression Algorithms to Predict Outcome in Orthopaedic Trauma Surgery.

Jacobien Hillina Froukje OosterhoffBenjamin Yaël GravesteijnAditya V KarhadeRuurd L JaarsmaGino M M J KerkhoffsDavid C RingJoseph H SchwabEwout W SteyerbergJob N Doornbergnull null
Published in: The Journal of bone and joint surgery. American volume (2022)
The observation that ML models produce probability estimates comparable with logistic regression models for binary events in musculoskeletal trauma suggests that their benefit may be limited in this context.
Keyphrases
  • machine learning
  • minimally invasive
  • artificial intelligence
  • trauma patients
  • coronary artery bypass
  • deep learning
  • big data
  • coronary artery disease