Fostering reproducibility and generalizability in machine learning for clinical prediction modeling in spine surgery
- PMID: 36336254
- DOI: 10.1016/j.spinee.2022.10.011
Fostering reproducibility and generalizability in machine learning for clinical prediction modeling in spine surgery
Keywords: Artificial intelligence; Machine learning; Random splitting; Spinal metastasis; Temporal splitting.
Conflict of interest statement
Declarations of Competing Interests The author certifies that there are no funding or commercial associations (consultancies, stock ownership, equity interest, patent/licensing arrangements, etc.) that might pose a conflict of interest in connection with the submitted article related to the author or any immediate family members.
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