AIMC Topic: Depression

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DepressionEmo: A novel dataset for multilabel classification of depression emotions.

Journal of affective disorders Aug 28, 2024
Emotions are integral to human social interactions, with diverse responses elicited by various situational contexts. Particularly, the prevalence of negative emotional states has been correlated with negative outcomes for mental health, necessitating...
Depression Emotions Datasets as Topic Machine Learning Humans Reproducibility of Results Deep Learning
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Self-Administered Interventions Based on Natural Language Processing Models for Reducing Depressive and Anxiety Symptoms: Systematic Review and Meta-Analysis.

JMIR mental health Aug 21, 2024
BACKGROUND: The introduction of natural language processing (NLP) technologies has significantly enhanced the potential of self-administered interventions for treating anxiety and depression by improving human-computer interactions. Although these ad...
Humans Self Care Anxiety Depression Natural Language Processing
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Using Data-Driven Algorithms with Large-Scale Plasma Proteomic Data to Discover Novel Biomarkers for Diagnosing Depression.

Journal of proteome research Aug 16, 2024
Given recent technological advances in proteomics, it is now possible to quantify plasma proteomes in large cohorts of patients to screen for biomarkers and to guide the early diagnosis and treatment of depression. Here we used CatBoost machine learn...
Humans Machine Learning Proteome Blood Proteins Male Area Under Curve Depression ROC Curve Proteomics Algorithms Biomarkers Female
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Decoding IBS: a machine learning approach to psychological distress and gut-brain interaction.

BMC gastroenterology Aug 15, 2024
PURPOSE: Irritable bowel syndrome (IBS) is a diagnosis defined by gastrointestinal (GI) symptoms like abdominal pain and changes associated with defecation. The condition is classified as a disorder of the gut-brain interaction (DGBI), and patients w...
Neuropsychological Tests Fatigue Irritable Bowel Syndrome Brain-Gut Axis Sleep Wake Disorders Psychological Distress Case-Control Studies Depression Stress, Psychological Male Middle Aged Anxiety Female Adult Humans Machine Learning
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Gender-specific factors of suicidal ideation among high school students in Yunnan province, China: A machine learning approach.

Journal of affective disorders Aug 13, 2024
BACKGROUND: Suicidal ideation (SI) assumes a pivotal role in predicting suicidal behaviors. The incidence of SI among high (junior and senior) school students is significantly higher than that of other age groups. The aim of this study is to explore ...
Male Students Prevalence Anxiety Machine Learning Female Risk Factors Adolescent Suicidal Ideation Logistic Models Schools China Depression Surveys and Questionnaires Humans Sex Factors Bullying
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Unraveling the physiological and psychosocial signatures of pain by machine learning.

Med (New York, N.Y.) Aug 7, 2024
BACKGROUND: Pain is a complex subjective experience, strongly impacting health and quality of life. Despite many attempts to find effective solutions, present treatments are generic, often unsuccessful, and present significant side effects. Designing...
Humans Machine Learning Female Adult Anxiety Depression Male Pain Measurement Middle Aged Chronic Pain Quality of Life
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EEG based depression detection by machine learning: Does inner or overt speech condition provide better biomarkers when using emotion words as experimental cues?

Journal of psychiatric research Aug 5, 2024
BACKGROUND: Objective diagnostic approaches need to be tested to enhance the efficacy of depression detection. Non-invasive EEG-based identification represents a promising area.
Emotions Electroencephalography Cues Young Adult Adult Machine Learning Male Brain Speech Female Depression Humans Middle Aged Case-Control Studies
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fNIRS-Driven Depression Recognition Based on Cross-Modal Data Augmentation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 30, 2024
Early diagnosis and intervention of depression promote complete recovery, with its traditional clinical assessments depending on the diagnostic scales, clinical experience of doctors and patient cooperation. Recent researches indicate that functional...
Male Female Middle Aged Young Adult Spectroscopy, Near-Infrared Deep Learning Adult Depression Humans Neural Networks, Computer Algorithms
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Evaluating GenAI systems to combat mental health issues in healthcare workers: An integrative literature review.

International journal of medical informatics Jul 26, 2024
BACKGROUND: Mental health issues among healthcare workers remain a serious problem globally. Recent surveys continue to report high levels of depression, anxiety, burnout and other conditions amongst various occupational groups. Novel approaches are ...
Risk Factors Mental Health Anxiety Depression Machine Learning Health Personnel Humans Mental Disorders Artificial Intelligence Burnout, Professional
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Identifying Depression Through Machine Learning Analysis of Omics Data: Scoping Review.

JMIR nursing Jul 19, 2024
BACKGROUND: Depression is one of the most common mental disorders that affects >300 million people worldwide. There is a shortage of providers trained in the provision of mental health care, and the nursing workforce is essential in filling this gap....
Depression Genomics Humans Epigenomics Machine Learning
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