Prediction of depressive symptoms severity based on sleep quality, anxiety, and gray matter volume: a generalizable machine learning approach across three datasets
Titel:
Prediction of depressive symptoms severity based on sleep quality, anxiety, and gray matter volume: a generalizable machine learning approach across three datasets
Auteur:
Olfati, Mahnaz Samea, Fateme Faghihroohi, Shahrooz Balajoo, Somayeh Maleki Küppers, Vincent Genon, Sarah Patil, Kaustubh Eickhoff, Simon B. Tahmasian, Masoud