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1
Psychological Well-Being of Left-Behind Children in China: Text Mining of the Social Media Website Zhihu.
In: International journal of environmental research and public health, vol 19, iss 4 (2022)
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2
Semantic dimensions of depressions: a Demonstrative Choice Task ...
Kruse, Line. - : Open Science Framework, 2022
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3
Linguistic Analysis of Adolescent Narratives of Stressful Life Events ...
DeLap, Gwyneth. - : Open Science Framework, 2022
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4
Συγκρίνοντας μη κυριολεκτικές γλωσσικές και οπτικές πραγματώσεις του εννοιακού πεδίου της κατάθλιψης ...
Αποκατανίδου, Ευθυμία Παναγιώτη. - : Aristotle University of Thessaloniki, 2022
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5
Benefits from Repetitive Transcranial Magnetic Stimulation in Post-Stroke Rehabilitation
In: Journal of Clinical Medicine; Volume 11; Issue 8; Pages: 2149 (2022)
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6
The Role of Perceived Social Support and Stress in the Relationship between Hope and Depression among Chinese Shadow Education Tutors: A Serial Mediation Model
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 6; Pages: 3348 (2022)
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7
Motherhood and Me (Mom-Me): The Development of an Acceptance-Based Group for Women with Postpartum Mood and Anxiety Symptoms
In: Journal of Clinical Medicine; Volume 11; Issue 9; Pages: 2345 (2022)
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8
Moderating Effects of Intercultural Social Efficacy and the Role of Language in the Context of Coping Strategies in Study Abroad Depression
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2409 (2022)
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9
Detecting Depression Signs on Social Media: A Systematic Literature Review
In: Healthcare; Volume 10; Issue 2; Pages: 291 (2022)
Abstract: Among mental health diseases, depression is one of the most severe, as it often leads to suicide; due to this, it is important to identify and summarize existing evidence concerning depression sign detection research on social media using the data provided by users. This review examines aspects of primary studies exploring depression detection from social media submissions (from 2016 to mid-2021). The search for primary studies was conducted in five digital libraries: ACM Digital Library, IEEE Xplore Digital Library, SpringerLink, Science Direct, and PubMed, as well as on the search engine Google Scholar to broaden the results. Extracting and synthesizing the data from each paper was the main activity of this work. Thirty-four primary studies were analyzed and evaluated. Twitter was the most studied social media for depression sign detection. Word embedding was the most prominent linguistic feature extraction method. Support vector machine (SVM) was the most used machine-learning algorithm. Similarly, the most popular computing tool was from Python libraries. Finally, cross-validation (CV) was the most common statistical analysis method used to evaluate the results obtained. Using social media along with computing tools and classification methods contributes to current efforts in public healthcare to detect signs of depression from sources close to patients.
Keyword: depression; sentiment analysis; social media
URL: https://doi.org/10.3390/healthcare10020291
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10
Listening to the Shenzhen Primary Healthcare Context to Adapt the mhGAP-IG.v2 for the Assessment of Depression: Qualitative Workshops with Primary Healthcare Leaders
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 5; Pages: 2570 (2022)
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11
Do psychological interventions reduce symptoms of depression for patients with bipolar I or II disorder? A meta-analysis
Yilmaz, S; Huguet, A; Kisely, S. - : Elsevier / International Society for Affective Disorders, 2022
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12
Neurobiology of peripartum mental illness
In: ISSN: 0072-9752 ; Handbook of Clinical Neurology ; https://hal.archives-ouvertes.fr/hal-03355282 ; Handbook of Clinical Neurology, 2021, 182, pp.63-82. ⟨10.1016/B978-0-12-819973-2.00005-8⟩ (2021)
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13
Point de vue linguistique sur la dépression
In: ISSN: 2552-7665 ; L’Entre-deux ; https://hal-univ-paris.archives-ouvertes.fr/hal-01370538 ; L’Entre-deux, Université d'Artois - Textes & Cultures (EA 4028), 2021, Cures de langage(s), 10 (2021)
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14
Cognitive Impairment in Late-Life Depression: A Comparative Study of Healthy Older People, Late-Life Depression, and Mild Alzheimer's Disease Using Multivariate Base Rates of Low Scores
In: EISSN: 1664-1078 ; Frontiers in Psychology ; https://hal-univ-fcomte.archives-ouvertes.fr/hal-03630024 ; Frontiers in Psychology, Frontiers, 2021, 12, pp.724731. ⟨10.3389/fpsyg.2021.724731⟩ (2021)
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15
Conversations of Symptoms of Anxiety and Depression Among Iu-Mien High School Students and their Parents
In: Asian American Research Journal , vol 1, iss 1 (2021)
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16
A Therapeutic Relational Agent for Reducing Problematic Substance Use (Woebot): Development and Usability Study.
In: Journal of medical Internet research, vol 23, iss 3 (2021)
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17
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.
In: Biological psychiatry. Cognitive neuroscience and neuroimaging, vol 6, iss 9 (2021)
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18
Multilevel Associations of Daily Skill Use and Effectiveness With Anxiety, Stress, and Depression in a Transdiagnostic Sample Undergoing Dialectical Behavior Therapy Skills Training ...
Eberle, Jeremy. - : Open Science Framework, 2021
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19
Metaphors as evidence of depression. Investigating the mental representation of depressive disorders ...
Tonon, Cristiana. - : University of Salento, 2021
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20
Learning to preserve: foreign language training as a cognitive ‘vaccine’ to prevent old-age disorders? ...
Nijmeijer, Saskia. - : Open Science Framework, 2021
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