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Anurag Pant

Datos Biográficos

ID7247299
NOMBREAnurag Pant
NOMBRESAnurag
APELLIDOPant
FIRMAPANT A
AFILIACIONESUniversity of California, Los Angeles
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2021
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H0
  • Machine Learning Prediction of Treatment Outcome in Late-Life Depression

    Open Access•Adrienne Grzenda, William Speier et al.•ARTICLE•Frontiers in Psychiatry•2021

    Background: Recent evidence suggests that integration of multi-modal data improves performance in machine learning prediction of depression treatment outcomes. Here, we compared the predictive performance of three machine learning classifiers using differing combinations of sociodemographic characteristics, baseline clinical self-reports, cognitive tests, and structural magnetic resonance imaging (MRI) features to predict treatment outcomes in la…

Sin obras prominentes en esta página.

  • Machine Learning Prediction of Treatment Outcome in Late-Life Depression

    Open Access•Adrienne Grzenda, William Speier et al.•ARTICLE•Frontiers in Psychiatry•2021

    Background: Recent evidence suggests that integration of multi-modal data improves performance in machine learning prediction of depression treatment outcomes. Here, we compared the predictive performance of three machine learning classifiers using differing combinations of sociodemographic characteristics, baseline clinical self-reports, cognitive tests, and structural magnetic resonance imaging (MRI) features to predict treatment outcomes in la…

Artificial Intelligence (1 obras) · Bonferroni correction (1 obras) · Computer Science (1 obras) · Dementia and Cognitive Impairment Research (1 obras) · Feature selection (1 obras) · Functional Brain Connectivity Studies (1 obras) · Logistic regression (1 obras) · Machine learning (1 obras) · Mathematics (1 obras) · McNemar's test (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae