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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 26 1 Neural Topic Modeling of Psychotherapy Sessions ... Lin, Baihan; Bouneffouf, Djallel; Cecchi, Guillermo. - : arXiv, 2022 BASE Show details 2 Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study Low, Daniel M.; Rumker, Laurie; Talkar, Tanya... In: Journal of Medical Internet Research (2020) BASE Show details 3 Using language processing and speech analysis for the identification of psychosis and other disorders Corcoran, Cheryl Mary; Cecchi, Guillermo In: Biol Psychiatry Cogn Neurosci Neuroimaging (2020) BASE Show details 4 Dreaming during the Covid-19 pandemic: Computational assessment of dream reports reveals mental suffering related to fear of contagion Mota, Natália Bezerra; Weissheimer, Janaina; Ribeiro, Marina... In: PLoS One (2020) BASE Show details 5 Identifying signals associated with psychiatric illness utilizing language and images posted to Facebook Birnbaum, Michael L.; Norel, Raquel; Van Meter, Anna; Ali, Asra F.; Arenare, Elizabeth; Eyigoz, Elif; Agurto, Carla; Germano, Nicole; Kane, John M.; Cecchi, Guillermo A. In: NPJ Schizophr (2020) Abstract: Prior research has identified associations between social media activity and psychiatric diagnoses; however, diagnoses are rarely clinically confirmed. Toward the goal of applying novel approaches to improve outcomes, research using real patient data is necessary. We collected 3,404,959 Facebook messages and 142,390 images across 223 participants (mean age = 23.7; 41.7% male) with schizophrenia spectrum disorders (SSD), mood disorders (MD), and healthy volunteers (HV). We analyzed features uploaded up to 18 months before the first hospitalization using machine learning and built classifiers that distinguished SSD and MD from HV, and SSD from MD. Classification achieved AUC of 0.77 (HV vs. MD), 0.76 (HV vs. SSD), and 0.72 (SSD vs. MD). SSD used more (P < 0.01) perception words (hear, see, feel) than MD or HV. SSD and MD used more (P < 0.01) swear words compared to HV. SSD were more likely to express negative emotions compared to HV (P < 0.01). MD used more words related to biological processes (blood/pain) compared to HV (P < 0.01). The height and width of photos posted by SSD and MD were smaller (P < 0.01) than HV. MD photos contained more blues and less yellows (P < 0.01). Closer to hospitalization, use of punctuation increased (SSD vs HV), use of negative emotion words increased (MD vs. HV), and use of swear words increased (P < 0.01) for SSD and MD compared to HV. Machine-learning algorithms are capable of differentiating SSD and MD using Facebook activity alone over a year in advance of hospitalization. Integrating Facebook data with clinical information could one day serve to inform clinical decision-making. Keyword: Article URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713057/ https://doi.org/10.1038/s41537-020-00125-0 http://www.ncbi.nlm.nih.gov/pubmed/33273468 BASE Hide details 6 Language as a Biomarker for Psychosis: A Natural Language Processing Approach Corcoran, Cheryl M.; Mittal, Vijay A.; Bearden, Carrie E.... In: Schizophr Res (2020) BASE Show details 7 Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study Low, Daniel M; Rumker, Laurie; Talkar, Tanya... In: J Med Internet Res (2020) BASE Show details 8 Linguistic markers predict onset of Alzheimer's disease Eyigoz, Elif; Mathur, Sachin; Santamaria, Mar... In: EClinicalMedicine (2020) BASE Show details 9 Detection of acute 3,4-methylenedioxymethamphetamine (MDMA) effects across protocols using automated natural language processing Agurto, Carla; Cecchi, Guillermo A.; Norel, Raquel. - : Springer International Publishing, 2020 BASE Show details 10 From discourse to pathology: Automatic identification of Parkinson’s disease patients via morphological measures across three languages Eyigoz, Elif; Courson, Melody; Sedeño, Lucas... In: Cortex (2020) BASE Show details 11 The history of writing reflects the effects of education on discourse structure: implications for literacy, orality, psychosis and the axial age Pinheiro, Sylvia; Mota, Natália Bezerra; Sigman, Mariano. - : Elsevier, 2020 BASE Show details 12 Differential 28-Days Cyclic Modulation of Affective Intensity in Female and Male Participants via Social Media Gallino, Lucila; Carrillo, Facundo; Cecchi, Guillermo A.. - : Frontiers Media S.A., 2019 BASE Show details 13 SPEECH MARKERS FOR CLINICAL ASSESSMENT OF COCAINE USERS Agurto, Carla; Norel, Raquel; Pietrowicz, Mary. - 2019 BASE Show details 14 S19. ANALYZING NEGATIVE SYMPTOMS AND LANGUAGE IN YOUTHS AT RISK FOR PSYCHOSIS USING AUTOMATED LANGUAGE ANALYSIS Stanislawski, Emma; Bilgrami, Zarina; Sarac, Cansu. - : Oxford University Press, 2019 BASE Show details 15 24.2 NATURAL LANGUAGE PROCESSING STUDIES OF PSYCHOSIS AND ITS RISK STATES Cecchi, Guillermo; Gutierrez, Elkin; Corcoran, Cheryl. - : Oxford University Press, 2019 BASE Show details 16 Prediction of psychosis across protocols and risk cohorts using automated language analysis Corcoran, Cheryl M.; Carrillo, Facundo; Fernández‐Slezak, Diego. - : John Wiley and Sons Inc., 2018 BASE Show details 17 The maturation of speech structure in psychosis is resistant to formal education Mota, Natália Bezerra; Sigman, Mariano; Cecchi, Guillermo. - : Nature Publishing Group UK, 2018 BASE Show details 18 Predicting natural language descriptions of mono-molecular odorants Gutiérrez, E. Darío; Dhurandhar, Amit; Keller, Andreas. - : Nature Publishing Group UK, 2018 BASE Show details 19 The maturation of speech structure in psychosis is resistant to formal education Mota, Natália Bezerra; Sigman, Mariano; Cecchi, Guillermo. - 2018 BASE Show details 20 The ontogeny of discourse structure mimics the development of literature ... Mota, Natalia Bezerra; Pinheiro, Sylvia; Sigman, Mariano. - : arXiv, 2016 BASE Show details Page: 1 2

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