Papers: 10.1371/journal.pone.0180221

https://doi.org/10.1371/journal.pone.0180221

Using machine learning and surface reconstruction to accurately differentiate different trajectories of mood and energy dysregulation in youth

Cited by: 0
Author(s): Amelia Versace, Vinod Kumar Sharma, Michele Bertocci, Genna Bebko, Satish Iyengar, Amanda Dwojak, Lisa Bonar, Susan B. Perlman, Claudiu Schirda, Michael J. Travis, Mary Kay Gill, Vaibhav A. Diwadkar, Jeffrey L. Sunshine, Scott K. Holland, Robert A. Kowatch, Boris Birmaher, David Axelson, Thomas Frazier, L. Eugene Arnold, Mary A. Fristad, Eric A. Youngstrom, Sarah M. Horwitz, Robert L. Findling, Mary L. Phillips
Published: about 9 years ago

Software Mentions 4

cran: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
Very Likely Science (100)
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
Very Likely Science (65)
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
Very Likely Science (100)