Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification [PDF]
arXiv, 2020 A wide variety of methods have been developed for identifying depression, but they focus primarily on measuring the degree to which individuals are suffering from depression currently. In this work we explore the possibility of predicting future depression using machine learning applied to longitudinal socio-demographic data.
arxiv
A Social Rehabilitation Program Implementation and Analysis: A Demonstration-Experimental Proposal [PDF]
, 1969 The intent of this proposal is to institute a social rehabilitation program on a ward of approximately 40-50 patients and then to assess and analyze the results of the program.
Becks, William
core +1 more source
CNS Mitochondria‐Derived Vesicle in Blood: Potential Biomarkers for Brain Mitochondria Dysfunction
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Mitochondrial dysfunction is a hallmark of neurodegenerative diseases like Alzheimer's (AD) and Parkinson's (PD). Our goal was to develop practical, noninvasive methods to assess mitochondrial status through the detection of mitochondria‐derived vesicles (MDVs).
Qi Liu +12 more
wiley +1 more source
Frontiers in Psychiatry, 2019 Introduction: The relationship between perinatal depressive symptoms, harm avoidance (HA), and a history of major depressive disorder (MDD) was examined in a prospective cohort study.Methods: This study was conducted from May 1, 2011, to December 31 ...
Chika Kubota +16 more
doaj +1 more source
Incremental Clinical Utility of ADHD Assessment Measures with Latino Families [PDF]
, 2016 Attention-Deficit/Hyperactivity Disorder (ADHD) is a common disorder beginning in childhood, with related symptoms and impairment across settings often persisting into adolescence and adulthood if effective treatment is not provided (Bernardi et al ...
Grace, Margaret A.
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Amygdala enlargement has been the subject of controversial studies regarding its significance in terms of pathogenicity both in epilepsy and in psychiatric comorbidities such as anxiety, depression, and post‐traumatic stress disorder.
Hélène Mourre +15 more
wiley +1 more source
Symptom Identification for Interpretable Detection of Multiple Mental Disorders [PDF]
arXiv, 2022 Mental disease detection (MDD) from social media has suffered from poor generalizability and interpretability, due to lack of symptom modeling. This paper introduces PsySym, the first annotated symptom identification corpus of multiple psychiatric disorders, to facilitate further research progress.
arxiv
Dynamics of Disagreement: Large-Scale Temporal Network Analysis Reveals Negative Interactions in Online Collaboration [PDF]
Scientific Reports (2016) 6:36333, 2016 Disagreement and conflict are a fact of social life and considerably affect our well-being and productivity. Such negative interactions are rarely explicitly declared and recorded and this makes them hard for scientists to study. We overcome this challenge by investigating the patterns in the timing and configuration of contributions to a large online ...
arxiv +1 more source
Incremental Clinical Utility of ADHD Assessment Measures With Latino Families [PDF]
, 2017 Objective: This study examined the incremental clinical utility of parent and teacher reports of ADHD symptomatology and functional impairment in Latino youth, as well as parent and teacher agreement with the final clinical judgment on a diagnostic ...
Castro, Al +3 more
core +1 more source
Electroconvulsive therapy in geriatric patients: A literature review and program report from Virginia Commonwealth University, Richmond, Virginia, USA [PDF]
, 2017 Electroconvulsive therapy (ECT) is an effective therapeutic intervention in the elderly patients with major depression, especially those with psychosis, suicidality, catatonia, nutritional compromise, and resistance to medications.
Pandurangi, Ananda +2 more
core +3 more sources