Systematic misestimation of machine learning performance in neuroimaging studies of depression

We currently observe a disconcerting phenomenon in machine learning studies in psychiatry: While we would expect larger samples to yield better results due to the availability of more data, larger machine learning studies consistently show much weaker performance than the numerous small-scale studie...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Neuropsychopharmacology
मुख्य लेखकों: Flint, Claas, Cearns, Micah, Opel, Nils, Redlich, Ronny, Mehler, David M. A., Emden, Daniel, Winter, Nils R., Leenings, Ramona, Eickhoff, Simon B., Kircher, Tilo, Krug, Axel, Nenadic, Igor, Arolt, Volker, Clark, Scott, Baune, Bernhard T., Jiang, Xiaoyi, Dannlowski, Udo, Hahn, Tim
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: Springer International Publishing 2021
विषय:
Article
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC8209109/
https://ncbi.nlm.nih.gov/pubmed/33958703
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41386-021-01020-7
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