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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)
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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)
Abstract: Artificial intelligence (AI) is increasingly employed in health care fields such as oncology, radiology, and dermatology. However, the use of AI in mental health care and neurobiological research has been modest. Given the high morbidity and mortality in people with psychiatric disorders, coupled with a worsening shortage of mental health care providers, there is an urgent need for AI to help identify high-risk individuals and provide interventions to prevent and treat mental illnesses. While published research on AI in neuropsychiatry is rather limited, there is a growing number of successful examples of AI's use with electronic health records, brain imaging, sensor-based monitoring systems, and social media platforms to predict, classify, or subgroup mental illnesses as well as problems such as suicidality. This article is the product of a study group held at the American College of Neuropsychopharmacology conference in 2019. It provides an overview of AI approaches in mental health care, seeking to help with clinical diagnosis, prognosis, and treatment, as well as clinical and technological challenges, focusing on multiple illustrative publications. Although AI could help redefine mental illnesses more objectively, identify them at a prodromal stage, personalize treatments, and empower patients in their own care, it must address issues of bias, privacy, transparency, and other ethical concerns. These aspirations reflect human wisdom, which is more strongly associated than intelligence with individual and societal well-being. Thus, the future AI or artificial wisdom could provide technology that enables more compassionate and ethically sound care to diverse groups of people.
Keyword: Artificial Intelligence; Compassion; Depression; Emotional regulation; Humans; Intelligence; Machine learning; Mental Disorders; Mental Health; Robot; Social media; United States
URL: https://escholarship.org/uc/item/4z8917rj
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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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