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William Speier

Dados Biográficos

ID7971905
NOMEWilliam Speier
PRENOMESWilliam
SOBRENOMESpeier
ASSINATURASPEIER W
AFILIAÇÕESUniversity of California, Los Angeles
ORCID0000-0002-0890-8684
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2021
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…

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  • 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 • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae