Zobrazeno 1 - 10 of 687 pro vyhledávání: '"Clouston, Sean"'
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Bridging Machine Learning and Clinical Diagnosis: An Explainable Biomarker for {\ss}-Amyloid PET Imaging
Autor: Barbero, Janos, Franceschi, Ana, Giliberto, Luca, Do, Patrick Phuoc, Petrover, David, Truong, Jack Nhat, Clouston, Sean, Nguyen, Nha, Gordon, Marc, Vo, An
[18F]-florbetaben positron emission tomography (PET) imaging is an established marker of {\ss}-Amyloid (A{\ss}) that is being increasingly used to assess A{\ss} deposition in AD. This study presents a novel, explainable machine learning-based biomark
Externí odkaz: http://arxiv.org/abs/2401.04110
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2
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Robust language-based mental health assessments in time and space through social media
Autor: Mangalik, Siddharth, Eichstaedt, Johannes C., Giorgi, Salvatore, Mun, Jihu, Ahmed, Farhan, Gill, Gilvir, Ganesan, Adithya V., Subrahmanya, Shashanka, Soni, Nikita, Clouston, Sean A. P., Schwartz, H. Andrew
Compared to physical health, population mental health measurement in the U.S. is very coarse-grained. Currently, in the largest population surveys, such as those carried out by the Centers for Disease Control or Gallup, mental health is only broadly
Externí odkaz: http://arxiv.org/abs/2302.12952
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7
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World Trade Center responders in their own words: Predicting PTSD symptom trajectories with AI-based language analyses of interviews
Autor: Son, Youngseo, Clouston, Sean A. P., Kotov, Roman, Eichstaedt, Johannes C., Bromet, Evelyn J., Luft, Benjamin J., Schwartz, H Andrew
Background: Oral histories from 9/11 responders to the World Trade Center (WTC) attacks provide rich narratives about distress and resilience. Artificial Intelligence (AI) models promise to detect psychopathology in natural language, but they have be
Externí odkaz: http://arxiv.org/abs/2011.06457
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