A Comprehensive Analysis of Psychiatric Disorders Using Deep Learning DOI
Nandini Manickam, Vijayakumar Ponnusamy

Опубликована: Дек. 29, 2023

In recent days, advancements in science, technology, and the social environment have played a vital role changing emotional well-being of person's life. These exposures not only create awareness about technologies but also lead to problems handling emotions, relationships, anxiety, depression. Mental health is essential at every stage life which helps determine how handle stress relationships. Psychiatric evaluation professionals identify severity mental through interview sessions based on questionnaires. Deep learning techniques can help classify diagnose psychological disorders brain signals received from MRI electrode EEG. This supports accurate prediction diagnosis. A comprehensive review various psychiatric analysis methods classifications presented.

Язык: Английский

Camouflaging and suicide behavior in adults with autism spectrum condition: A mixed methods systematic review DOI

María Pérez-Arqueros,

Victoria Jamett-Cuevas,

Valeska Pulgar-Vera

и другие.

Опубликована: Фев. 28, 2025

Язык: Английский

Процитировано

0

Dialectical Behavior Therapy in Autism DOI
Luisa Weiner, Doha Bemmouna, Mădălina Elena Costache

и другие.

Current Psychiatry Reports, Год журнала: 2025, Номер unknown

Опубликована: Март 6, 2025

Язык: Английский

Процитировано

0

Gender Differences in the Prevalence of Autistic Experiences of Interpersonal Violence: A Mixed Methods Systematic Review and Meta-Analysis DOI Creative Commons
Kassandrah Cooke, Kathryn Ridgway, Laura Pecora

и другие.

Review Journal of Autism and Developmental Disorders, Год журнала: 2025, Номер unknown

Опубликована: Апрель 5, 2025

Язык: Английский

Процитировано

0

The prevalence of suicide ideation, suicide attempt and suicide in borderline personality disorder patients: A systematic review and meta-analysis DOI

Mohammadmahdi Lak,

Shima Shakiba, Behrooz Dolatshahi

и другие.

General Hospital Psychiatry, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Dialectical behavior therapy in autistic adults: effects on ecological subjective and physiological measures of emotion dysregulation DOI Creative Commons
Mădălina Elena Costache, Federica Gioia, Nicola Vanello

и другие.

Borderline Personality Disorder and Emotion Dysregulation, Год журнала: 2025, Номер 12(1)

Опубликована: Апрель 23, 2025

Although Ecological Momentary Assessment (EMA) and physiological measurements provide a valuable opportunity to evaluate therapeutic interventions in real time, no study has used this approach assess Dialectical Behavior Therapy (DBT) autistic adults with high levels of emotion dysregulation (ED). In study, 26 were evaluated before after participating standard 5-month DBT program, using (EMA). The EMA included: (1) twelve evaluations per day over 7-day period, measuring alexithymia, emotional states, subjective arousal control; (2) continuous monitoring wristband record heart-rate (HR), variability (HRV) skin conductance (SCL). Following DBT, significant differences found respect negative emotions higher conflicting emotions, but increased rates identified positive control found. Baseline autonomic responses remained unchanged, whereas was correlate positively HRV. Overall, these results suggest that participants showed enhanced awareness regulation capabilities following DBT. Our adds previous research showing is efficient treating ED adults, real-time markers collected through EMA. Specifically, alexithymia measures decreased post-DBT while increased. Randomized controlled trials should consider methods improve the assessment impact daily life individuals and/or suicidal behavior.

Язык: Английский

Процитировано

0

Autism Spectrum Disorders and Borderline Personality Disorders: Comorbidity and Difficulty of Diagnosis in Women DOI Open Access

Giuliana Galli Carminati,

Gregory Zecca,

Federico Carminati

и другие.

Psychology, Год журнала: 2024, Номер 15(10), С. 1595 - 1613

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

A Comprehensive Analysis of Psychiatric Disorders Using Deep Learning DOI
Nandini Manickam, Vijayakumar Ponnusamy

Опубликована: Дек. 29, 2023

In recent days, advancements in science, technology, and the social environment have played a vital role changing emotional well-being of person's life. These exposures not only create awareness about technologies but also lead to problems handling emotions, relationships, anxiety, depression. Mental health is essential at every stage life which helps determine how handle stress relationships. Psychiatric evaluation professionals identify severity mental through interview sessions based on questionnaires. Deep learning techniques can help classify diagnose psychological disorders brain signals received from MRI electrode EEG. This supports accurate prediction diagnosis. A comprehensive review various psychiatric analysis methods classifications presented.

Язык: Английский

Процитировано

0