Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Pedro L. Ballester"'
Publikováno v:
Comprehensive Psychiatry, Vol 122, Iss , Pp 152377- (2023)
Background: Despite limited clinical evidence of its efficacy, cannabis use has been commonly reported for the management of various mental health concerns in naturalistic field studies. The aim of the current study was to use machine learning method
Externí odkaz:
https://doaj.org/article/ebb6972d42214869be29c4bfb17159ab
Autor:
Mario Simjanoski, Pedro L. Ballester, Jurema Corrêa da Mota, Raquel B. De Boni, Vicent Balanzá-Martínez, Beatriz Atienza-Carbonell, Francisco I. Bastos, Benicio N. Frey, Luciano Minuzzi, Taiane de Azevedo Cardoso, Flavio Kapczinski
Publikováno v:
Trends in Psychiatry and Psychotherapy, Vol 44 (2022)
Abstract Introduction Recent research has suggested an increase in the global prevalence of psychiatric symptoms during the COVID-19 pandemic. This study aimed to assess whether lifestyle behaviors can predict the presence of depression and anxiety i
Externí odkaz:
https://doaj.org/article/56c7d36b530a4aa9977b0fe404105286
Autor:
Pedro L. Ballester, Laura Tomaz da Silva, Matheus Marcon, Nathalia Bianchini Esper, Benicio N. Frey, Augusto Buchweitz, Felipe Meneguzzi
Publikováno v:
Frontiers in Psychiatry, Vol 12 (2021)
Problem: Chronological aging in later life is associated with brain degeneration processes and increased risk for disease such as stroke and dementia. With a worldwide tendency of aging populations and increased longevity, mental health, and psychiat
Externí odkaz:
https://doaj.org/article/b7a140f9544b4880bc590bfb5a2d0663
Autor:
Pedro L. Ballester, Jee Su Suh, Nikita Nogovitsyn, Stefanie Hassel, Stephen C. Strother, Stephen R. Arnott, Luciano Minuzzi, Roberto B. Sassi, Raymond W. Lam, Roumen Milev, Daniel J. Müller, Valerie H. Taylor, Sidney H. Kennedy, Benicio N. Frey
Publikováno v:
NeuroImage: Clinical, Vol 32, Iss , Pp 102864- (2021)
Objectives: Previous studies suggest that major depressive disorder (MDD) may be associated with volumetric indications of accelerated brain aging. This study investigated neuroanatomical signs of accelerated aging in MDD and evaluated whether a brai
Externí odkaz:
https://doaj.org/article/409bfb52a9a64e5faab9e1953af4c00b
Autor:
Pedro L Ballester
UNSTRUCTURED Májovský and colleagues have investigated the important issue of ChatGPT being used for the complete generation of scientific works, including fake data and tables. The issues behind why ChatGPT poses a significant concern to research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b71f1e7f98a7333a78531059655acee4
https://doi.org/10.2196/preprints.49323
https://doi.org/10.2196/preprints.49323
Autor:
Pedro L. Ballester, Jee Su Suh, Natalie C. W. Ho, Liangbing Liang, Stefanie Hassel, Stephen C. Strother, Stephen R. Arnott, Luciano Minuzzi, Roberto B. Sassi, Raymond W. Lam, Roumen Milev, Daniel J. Müller, Valerie H. Taylor, Sidney H. Kennedy, James P. Reilly, Lena Palaniyappan, Katharine Dunlop, Benicio N. Frey
Publikováno v:
Schizophrenia. 9
Neuroimaging-based brain age is a biomarker that is generated by machine learning (ML) predictions. The brain age gap (BAG) is typically defined as the difference between the predicted brain age and chronological age. Studies have consistently report
Autor:
Pedro L Ballester
Publikováno v:
Journal of Medical Internet Research. 25:e49323
Májovský and colleagues have investigated the important issue of ChatGPT being used for the complete generation of scientific works, including fake data and tables. The issues behind why ChatGPT poses a significant concern to research reach far bey
Predictors of illicit substance abuse/dependence during young adulthood: A machine learning approach
Autor:
Coral Rakovski, Pedro L. Ballester, Bruno Braga Montezano, Luciano Dias de Mattos Souza, Karen Jansen, Ricardo Azevedo da Silva, Thaise Campos Mondin, Fernanda Pedrotti Moreira, Raquel Brandini De Boni, Benicio N. Frey, Flavio Kapczinski, Taiane de Azevedo Cardoso
Publikováno v:
Web of Science
Prior studies have found an especially high prevalence of illicit substance use among adolescents and young adults in Brazil. The current study aimed to employ machine learning techniques to identify predictors of illicit substance abuse/dependence a