AIMC Topic: Resilience, Psychological
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Resilience-aware MLOps for AI-based medical diagnostic system.
Frontiers in public health
Mar 27, 2024
BACKGROUND: The healthcare sector demands a higher degree of responsibility, trustworthiness, and accountability when implementing Artificial Intelligence (AI) systems. Machine learning operations (MLOps) for AI-based medical diagnostic systems are p...
Environmental resilience through artificial intelligence: innovations in monitoring and management.
Environmental science and pollution research international
Feb 15, 2024
The rapid rise of artificial intelligence (AI) technology has revolutionized numerous fields, with its applications spanning finance, engineering, healthcare, and more. In recent years, AI's potential in addressing environmental concerns has garnered...
Construction 4.0 technology evaluation using fuzzy TOPSIS: comparison between sustainability and resiliency, well-being, productivity, safety, and integrity.
Environmental science and pollution research international
Jan 29, 2024
This study aims to compare the impact of Construction 4.0 technologies on different organizational core values, focusing on sustainability and resiliency, well-being, productivity, safety, and integrity. To achieve that aim, the study objectives are ...
Identifying multilevel predictors of trajectories of psychopathology and resilience among juvenile offenders: A machine learning approach.
Development and psychopathology
Aug 22, 2023
Mental ill health is more common among juvenile offenders relative to adolescents in general. Little is known about individual differences in their long-term psychological adaptation and its predictors from multiple aspects of their life. This study ...
Identifying resting state differences salient for resilience to chronic pain based on machine learning multivariate pattern analysis.
Psychophysiology
Aug 12, 2021
Studies have documented behavior differences between more versus less resilient adults with chronic pain (CP), but the presence and nature of underlying neurophysiological differences have received scant attention. In this study, we attempted to iden...
Deep graph neural network-based prediction of acute suicidal ideation in young adults.
Scientific reports
Aug 4, 2021
Precise remote evaluation of both suicide risk and psychiatric disorders is critical for suicide prevention as well as for psychiatric well-being. Using questionnaires is an alternative to labor-intensive diagnostic interviews in a large general popu...
Anxiety
Suicide, Attempted
Psychiatric Status Rating Scales
Adult
Sensitivity and Specificity
Male
Adolescent
Suicidal Ideation
Area Under Curve
Self Concept
Depression
Resilience, Psychological
Surveys and Questionnaires
Neural Networks, Computer
Mental Disorders
Prognosis
Risk Factors
Young Adult
Republic of Korea
Female
Humans
Towards a new model and classification of mood disorders based on risk resilience, neuro-affective toxicity, staging, and phenome features using the nomothetic network psychiatry approach.
Metabolic brain disease
Jan 7, 2021
Current diagnoses of mood disorders are not cross validated. The aim of the current paper is to explain how machine learning techniques can be used to a) construct a model which ensembles risk/resilience (R/R), adverse outcome pathways (AOPs), stagin...
Resilient asynchronous state estimation of Markov switching neural networks: A hierarchical structure approach.
Neural networks : the official journal of the International Neural Network Society
Dec 8, 2020
This paper deals with the issue of resilient asynchronous state estimation of discrete-time Markov switching neural networks. Randomly occurring signal quantization and packet dropout are involved in the imperfect measured output. The asynchronous sw...
Psychological characteristics and stress differentiate between high from low health trajectories in later life: a machine learning analysis.
Aging & mental health
Mar 5, 2019
: This study set out to empirically identify joint health trajectories in individuals of advanced age. Predictors of subgroup allocation were investigated to identify the impact of psychological characteristics, stress, and socio-demographic variable...
Predeployment predictors of psychiatric disorder-symptoms and interpersonal violence during combat deployment.
Depression and anxiety
Aug 13, 2018
BACKGROUND: Preventing suicides, mental disorders, and noncombat-related interpersonal violence during deployment are priorities of the US Army. We used predeployment survey and administrative data to develop actuarial models to identify soldiers at ...
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