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Massimiliano Grassi

Showing results (11-20 of 47) with videos related to

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Journal of Alzheimer'S Disease : JAD|January 23, 2018
A Clinically-Translatable Machine Learning Algorithm for the Prediction of Alzheimer's Disease Conversion in Individuals with Mild and Premild Cognitive ImpairmentMassimiliano Grassi, Giampaolo Perna, Daniela Caldirola, et al.
International Psychogeriatrics|November 15, 2018
A clinically-translatable machine learning algorithm for the prediction of Alzheimer's disease conversion: further evidence of its accuracy via a transfer learning approachMassimiliano Grassi, David A Loewenstein, Daniela Caldirola, et al.
Psychopathology|July 17, 2012
Temperament, character and anxiety sensitivity in panic disorder: a high-risk studyGiampaolo Perna, Danila di Pasquale, Massimiliano Grassi, et al.
Frontiers in Sleep|December 22, 2025
Performance evaluation of a novel screening tool for depressive episodes in COMISA: a comparative analysis with standard neuropsychometric assessmentsArchie Defillo, Massimiliano Grassi, Silvia Daccò, et al.
Journal of Affective Disorders|October 31, 2012
Baseline respiratory parameters in panic disorder: a meta-analysisMassimiliano Grassi, Daniela Caldirola, Giovanna Vanni, et al.
Journal of Affective Disorders|April 30, 2022
First-onset major depression during the COVID-19 pandemic: A predictive machine learning modelDaniela Caldirola, Silvia Daccò, Francesco Cuniberti, et al.
Journal of Psychosomatic Research|September 14, 2021
Elevated C-reactive protein levels across diagnoses: The first comparison among inpatients with major depressive disorder, bipolar disorder, or obsessive-compulsive disorderDaniela Caldirola, Silvia Daccò, Francesco Cuniberti, et al.
Frontiers in Psychiatry|May 12, 2025
Uncovering hidden depression: the critical role of depression screening in sleep disorders at U.S. sleep centersSilvia Daccò, Massimiliano Grassi, Zach Wolpe, et al.
Frontiers in Neurology|August 6, 2019
A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological MeasuresMassimiliano Grassi, Nadine Rouleaux, Daniela Caldirola, et al.
Psychiatry Research|April 12, 2011
Is there a hypersensitive visual alarm system in panic disorder?Daniela Caldirola, Roberto Teggi, Stefano Bondi, et al.
Pageof 5

Showing results (11-20 of 47) with videos related to

Sort By:
Pageof 5
Journal of Alzheimer'S Disease : JAD|January 23, 2018
A Clinically-Translatable Machine Learning Algorithm for the Prediction of Alzheimer's Disease Conversion in Individuals with Mild and Premild Cognitive ImpairmentMassimiliano Grassi, Giampaolo Perna, Daniela Caldirola, et al.
International Psychogeriatrics|November 15, 2018
A clinically-translatable machine learning algorithm for the prediction of Alzheimer's disease conversion: further evidence of its accuracy via a transfer learning approachMassimiliano Grassi, David A Loewenstein, Daniela Caldirola, et al.
Psychopathology|July 17, 2012
Temperament, character and anxiety sensitivity in panic disorder: a high-risk studyGiampaolo Perna, Danila di Pasquale, Massimiliano Grassi, et al.
Frontiers in Sleep|December 22, 2025
Performance evaluation of a novel screening tool for depressive episodes in COMISA: a comparative analysis with standard neuropsychometric assessmentsArchie Defillo, Massimiliano Grassi, Silvia Daccò, et al.
Journal of Affective Disorders|October 31, 2012
Baseline respiratory parameters in panic disorder: a meta-analysisMassimiliano Grassi, Daniela Caldirola, Giovanna Vanni, et al.
Journal of Affective Disorders|April 30, 2022
First-onset major depression during the COVID-19 pandemic: A predictive machine learning modelDaniela Caldirola, Silvia Daccò, Francesco Cuniberti, et al.
Journal of Psychosomatic Research|September 14, 2021
Elevated C-reactive protein levels across diagnoses: The first comparison among inpatients with major depressive disorder, bipolar disorder, or obsessive-compulsive disorderDaniela Caldirola, Silvia Daccò, Francesco Cuniberti, et al.
Frontiers in Psychiatry|May 12, 2025
Uncovering hidden depression: the critical role of depression screening in sleep disorders at U.S. sleep centersSilvia Daccò, Massimiliano Grassi, Zach Wolpe, et al.
Frontiers in Neurology|August 6, 2019
A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological MeasuresMassimiliano Grassi, Nadine Rouleaux, Daniela Caldirola, et al.
Psychiatry Research|April 12, 2011
Is there a hypersensitive visual alarm system in panic disorder?Daniela Caldirola, Roberto Teggi, Stefano Bondi, et al.
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