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[Machine Learning vs. Statistical Model for Prediction Modelling: Application in Medical Imaging Research].

Leeha RyuKyung Hwa Han
Published in: Journal of the Korean Society of Radiology (2022)
Clinical prediction models has been increasingly published in radiology research. In particular, as a radiomics research is being actively conducted, the prediction model is developed based on the traditional statistical model, as well as machine learning, to account for the high-dimensional data. In this review, we investigated the statistical and machine learning methods used in clinical prediction model research, and briefly summarized each analytical method for statistical model, machine learning, and statistical learning. Finally, we discussed several considerations for choosing the prediction modeling method.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • deep learning
  • healthcare
  • high resolution
  • computed tomography
  • electronic health record
  • lymph node metastasis
  • systematic review
  • photodynamic therapy