Performance reserves in brain-imaging-based phenotype prediction
Summary: This study examines the impact of sample size on predicting cognitive and mental health phenotypes from brain imaging via machine learning. Our analysis shows a 3- to 9-fold improvement in prediction performance when sample size increases from 1,000 to 1 M participants. However, despite thi...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2024-01-01
|
Series: | Cell Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2211124723016091 |