AIMC Topic: Depressive Disorder

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Natural language processing for structuring clinical text data on depression using UK-CRIS.

Evidence-based mental health Feb 1, 2020
BACKGROUND: Utilisation of routinely collected electronic health records from secondary care offers unprecedented possibilities for medical science research but can also present difficulties. One key issue is that medical information is presented as ...
Depression Models, Statistical Humans Electronic Health Records Data Mining United Kingdom Depressive Disorder Natural Language Processing Feasibility Studies
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Personalized prognostic prediction of treatment outcome for depressed patients in a naturalistic psychiatric hospital setting: A comparison of machine learning approaches.

Journal of consulting and clinical psychology Jan 1, 2020
OBJECTIVE: Research on predictors of treatment outcome in depression has largely derived from randomized clinical trials involving strict standardization of treatments, stringent patient exclusion criteria, and careful selection and supervision of st...
Antidepressive Agents Cognitive Behavioral Therapy Adolescent Treatment Outcome Depressive Disorder Hospitals, Psychiatric Young Adult Adult Male Middle Aged Reproducibility of Results Aged Prognosis Female Machine Learning Precision Medicine Humans
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Targeted prescription of cognitive-behavioral therapy versus person-centered counseling for depression using a machine learning approach.

Journal of consulting and clinical psychology Jan 1, 2020
OBJECTIVE: Depression is a highly common mental disorder and a major cause of disability worldwide. Several psychological interventions are available, but there is a lack of evidence to decide which treatment works best for whom. This study aimed to ...
Humans Machine Learning Research Design Primary Health Care Adult Retrospective Studies Treatment Outcome Cognitive Behavioral Therapy Male Female Depressive Disorder Counseling
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Integration of machine learning and pharmacogenomic biomarkers for predicting response to antidepressant treatment: can computational intelligence be used to augment clinical assessments?

Pharmacogenomics Sep 1, 2019
Artificial Intelligence Machine Learning Humans Antidepressive Agents Pharmacogenetics Depressive Disorder Polymorphism, Single Nucleotide Algorithms Biomarkers
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Internet-Based Management for Depressive Disorder.

Advances in experimental medicine and biology Jan 1, 2019
The advances in the Internet and related technologies may lead to changes in professional roles of psychiatrists and psychotherapists. The application of artificial intelligence (AI) and electronic measurement-based care (eMBC) in the treatment of de...
Internet Depressive Disorder Electronic Health Records Clinical Decision-Making Humans Artificial Intelligence
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Automatic Detection of Depression by Using a Neural Network.

Studies in health technology and informatics Jan 1, 2018
Depression is the most common psychiatric disorder worldwide, which affects more than 300 million people. We aimed to detect depressed patients and healthy people automatically. We work on the PHQ-9 questionnaires and reduced it to a PHQ-5 questionna...
Reproducibility of Results Sensitivity and Specificity Humans Surveys and Questionnaires Neural Networks, Computer Psychiatric Status Rating Scales Automation Depression Depressive Disorder
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Technology for Early Detection of Depression and Anxiety in Older People.

Studies in health technology and informatics Jan 1, 2017
Under-diagnosis of depression and anxiety is common in older adults. This project took a mixed methods approach to explore the application of machine learning and technology for early detection of these conditions. Mood measures collected with digita...
Anxiety Disorders Prospective Studies Depressive Disorder Humans Anxiety Depression Self-Help Devices Machine Learning
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