AIMC Topic: Mental Health

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Artificial intelligence: A rapid case for advancement in the personalization of Gynaecology/Obstetric and Mental Health care.

Women's health (London, England) Jan 1, 2021
To evaluate and holistically treat the mental health sequelae and potential psychiatric comorbidities associated with obstetric and gynaecological conditions, it is important to optimize patient care, ensure efficient use of limited resources and imp...
Delivery of Health Care Pregnancy Female Humans Artificial Intelligence Mental Health Gynecology
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Applied natural language processing in mental health big data.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Jan 1, 2021
Mental Health Big Data Natural Language Processing Electronic Health Records
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Machine-learning classification of neurocognitive performance in children with perinatal HIV initiating de novo antiretroviral therapy.

AIDS (London, England) Apr 1, 2020
OBJECTIVE: To develop a predictive model of neurocognitive trajectories in children with perinatal HIV (pHIV).
Algorithms Pregnancy Female Humans Machine Learning Cognition HIV Infections CD4 Lymphocyte Count Child, Preschool Mental Health Psychomotor Performance Child Male Parturition Infectious Disease Transmission, Vertical Executive Function
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Sustainable level of human performance with regard to actual availability in different professions.

Work (Reading, Mass.) Jan 1, 2020
BACKGROUND: In a real working environment, workers' performance depends on the level of competence, psychological and health condition, motivation, and perceived stress. These are the attributes of actual availability. It is crucial to identify the m...
Workplace Task Performance and Analysis Occupations Decision Trees Workload Slovenia Humans Machine Learning Algorithms Mental Health Surveys and Questionnaires Efficiency
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A computational study of mental health awareness campaigns on social media.

Translational behavioral medicine Nov 25, 2019
As public discourse continues to progress online, it is important for mental health advocates, public health officials, and other curious parties and stakeholders, ranging from researchers, to those affected by the issue, to be aware of the advancing...
Humans Machine Learning Health Promotion Mental Health Public Health Social Media Delphi Technique Classification
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Cohort selection for clinical trials using hierarchical neural network.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Cohort selection for clinical trials is a key step for clinical research. We proposed a hierarchical neural network to determine whether a patient satisfied selection criteria or not.
Mental Health Humans Data Mining Machine Learning Natural Language Processing Neural Networks, Computer Electronic Health Records Patient Selection Clinical Trials as Topic Electronic Data Processing
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Identifying Suicidal Adolescents from Mental Health Records Using Natural Language Processing.

Studies in health technology and informatics Aug 21, 2019
Suicidal ideation is a risk factor for self-harm, completed suicide and can be indicative of mental health issues. Adolescents are a particularly vulnerable group, but few studies have examined suicidal behaviour prevalence in large cohorts. Electron...
Suicide Mental Health Natural Language Processing Adolescent Suicidal Ideation Humans Electronic Health Records
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Text Classification to Inform Suicide Risk Assessment in Electronic Health Records.

Studies in health technology and informatics Aug 21, 2019
Assessing a patient's risk of an impending suicide attempt has been hampered by limited information about dynamic factors that change rapidly in the days leading up to an attempt. The storage of patient data in electronic health records (EHRs) has fa...
Electronic Health Records Mental Health Risk Assessment Suicide Prevention Humans Machine Learning Research Design
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Multi-Modal Acute Stress Recognition Using Off-the-Shelf Wearable Devices.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Monitoring stress and, in general, emotions has attracted a lot of attention over the past few decades. Stress monitoring has many applications, including high-risk missions and surgical procedures as well as mental/emotional health monitoring. In th...
Mental Health Stress, Psychological Wearable Electronic Devices Humans Machine Learning Emotions
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Causal models adjusting for time-varying confounding-a systematic review of the literature.

International journal of epidemiology Feb 1, 2019
BACKGROUND: Obtaining unbiased causal estimates from longitudinal observational data can be difficult due to exposure-affected time-varying confounding. The past decade has seen considerable development in methods for analysing such complex longitudi...
Bias Humans Computer Simulation Causality Probability Machine Learning Models, Statistical Mental Health Confounding Factors, Epidemiologic Data Interpretation, Statistical Health Status
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