Ning Zhang, Shuning Chen, Keying Jiang, Wei Ge, Hohjin Im, Shunping Guan, Zixi Li, Chuqiao Wei, Pinchun Wang, Ye Zhu, Guang Zhao, Liqing Liu, Chunhui Chen, Huibin Chang, Qiang Wang
Machine learning is an emerging tool in clinical psychology and neuroscience for the individualized prediction of psychiatric symptoms. However, its application in non-clinical populations is still in its infancy. Given the widespread morphological changes observed in psychiatric disorders, our study applies five supervised machine learning regression algorithms-ridge regression, support vector regression, partial least squares regression, least absolute shrinkage and selection operator regression, and Elastic-Net regression-to predict anxiety and depressive symptom scores...
April 1, 2024: Cerebral Cortex