Reply to Winter et al: Interpreting weights of multimodal machine learning models-problems and pitfalls
- PMID: 34257414
- PMCID: PMC8429743
- DOI: 10.1038/s41386-021-01082-7
Reply to Winter et al: Interpreting weights of multimodal machine learning models-problems and pitfalls
Comment on
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Examination of the association between exposure to childhood maltreatment and brain structure in young adults: a machine learning analysis.Neuropsychopharmacology. 2021 Oct;46(11):1888-1894. doi: 10.1038/s41386-021-00987-7. Epub 2021 Feb 26. Neuropsychopharmacology. 2021. PMID: 33637836 Free PMC article.
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Interpreting weights of multimodal machine learning models-problems and pitfalls.Neuropsychopharmacology. 2021 Oct;46(11):1861-1862. doi: 10.1038/s41386-021-01030-5. Epub 2021 May 20. Neuropsychopharmacology. 2021. PMID: 34017082 Free PMC article. No abstract available.
References
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- Winter NR, Goltermann J, Dannlowski U, Hahn T. Interpreting weights of multimodal machine learning models—problems and pitfalls. Neuropsychopharmacology. 2021:1–2. https://www.nature.com/articles/s41386-021-01030-5#citeas. - PMC - PubMed
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- Price M, Albaugh M, Hahn S, Juliano AC, Fani N, Brier ZMF, et al. Examination of the association between exposure to childhood maltreatment and brain structure in young adults: a machine learning analysis. Neuropsychopharmacology. 2021:1–7. https://www.nature.com/articles/s41386-021-01030-5#citeas. - PMC - PubMed
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- Breiman L. Statistical modeling: the two cultures (with comments and a rejoinder by the author) Stat Sci. 2001;16:199–231. doi: 10.1214/ss/1009213726. - DOI
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