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2 Results for: Author: Petrone, Paula
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- research-articleNovember 2024
Machine learning for anxiety and depression profiling and risk assessment in the aftermath of an emergency
- Guillermo Villanueva Benito,
- Ximena Goldberg,
- Nicolai Brachowicz,
- Gemma Castaño-Vinyals,
- Natalia Blay,
- Ana Espinosa,
- Flavia Davidhi,
- Diego Torres,
- Manolis Kogevinas,
- Rafael de Cid,
- Paula Petrone
Artificial Intelligence in Medicine (AIIM), Volume 157, Issue Chttps://doi.org/10.1016/j.artmed.2024.102991Abstract Background & objectivesMental health disorders pose an increasing public health challenge worsened by the COVID-19 pandemic. The pandemic highlighted gaps in preparedness, emphasizing the need for early identification of at-risk groups and ...
Highlights- The COVID-19 pandemic and lockdown worsened mental health, revealing a lack of preparedness to address this growing crisis.
- Interpretable machine learning predicts depression, anxiety, and stress, highlighting factors like poor health ...
- ArticleSeptember 2018
Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer’s Disease
PRedictive Intelligence in MEdicinePages 60–67https://doi.org/10.1007/978-3-030-00320-3_8AbstractIn this work, we identify meaningful latent patterns in MR images for patients across the Alzheimer’s disease (AD) continuum. For this purpose, we apply Projection to Latent Structures (PLS) method using cerebrospinal fluid (CSF) biomarkers (t-tau,...
