Research on the Application and Interpretability of Predictive Statistical Data Analysis Methods in Medicine
Author:
Affiliation:
1. Medical Informatics and Data Analysis Research Group, University of Oulu, 90014 Oulu, Finland
Abstract
Publisher
MDPI AG
Link
https://www.mdpi.com/2673-7426/4/1/18/pdf
Reference19 articles.
1. An Introduction to Machine Learning for Clinicians;Rowe;Acad. Med.,2019
2. Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in Cardiology;Petch;Can. J. Cardiol.,2022
3. Artificial Intelligence: The Milestone in Modern Biomedical Research;Athanasopoulou;BioMedInformatics,2022
4. Matheny, M., Israni, S.T., Ahmed, M., and Whicher, D. (2019). Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril, National Academy of Medicine.
5. Carvalho, D.V., Pereira, E.M., and Cardoso, J.S. (2019). Machine Learning Interpretability: A Survey on Methods and Metrics. Electronics, 8.
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