Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes

Research article (Translational Psychiatry, 2020) · cited 26× · AI/ML
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Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes

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Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-for-effectively-avoiding-overfitting-is-a-crucial-strategy-for-the-genetic-prediction-of-polygenic-psyc
MLA “Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-for-effectively-avoiding-overfitting-is-a-crucial-strategy-for-the-genetic-prediction-of-polygenic-psyc.
BibTeX @misc{4ortxyz_machine-learning-for-effectively-avoiding-overfitting-is-a-crucial-strategy-for-the-genetic-prediction-of-polygenic-psyc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-for-effectively-avoiding-overfitting-is-a-crucial-strategy-for-the-genetic-prediction-of-polygenic-psyc}, note = {Accessed: 2026-05-24}}
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