[Machine Learning vs. Statistical Model for Prediction Modelling: Application in Medical Imaging Research].
| Autor: | Ryu L, Han K |
|---|---|
| Jazyk: | korejština |
| Zdroj: | Journal of the Korean Society of Radiology [J Korean Soc Radiol] 2022 Nov; Vol. 83 (6), pp. 1219-1228. Date of Electronic Publication: 2022 Nov 30. |
| DOI: | 10.3348/jksr.2022.0111 |
| Abstrakt: | 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. Competing Interests: Conflicts of Interest: The authors have no potential conflicts of interest to disclose. (Copyrights © 2022 The Korean Society of Radiology.) |
| Databáze: | MEDLINE |
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