AIMC Topic: Patient Health Questionnaire

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[Not Available].

Vertex (Buenos Aires, Argentina) Apr 10, 2025
Introducción: la ideación suicida es el pensamiento de autoeliminación no siempre reportada por los pacientes en test de depresión. El objetivo fue identificar y analizar síntomas depresivos del cuestionario de salud del paciente-9 asociados a ideaci...
Suicidal Ideation Peru Patient Health Questionnaire Aged Young Adult Adult Humans Cross-Sectional Studies Machine Learning Algorithms Female Male Middle Aged Depression Adolescent
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Estimating depression severity in narrative clinical notes using large language models.

Journal of affective disorders Apr 3, 2025
BACKGROUND: Depression treatment guidelines emphasize measurement-based care using patient-reported outcome measures, yet their impact on narrative documentation quality remains underexplored.
Humans Electronic Health Records Female Aged Depression Narration Adult Large Language Models Male Patient Health Questionnaire Middle Aged Severity of Illness Index
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A machine learning model using clinical notes to estimate PHQ-9 symptom severity scores in depressed patients.

Journal of affective disorders Feb 3, 2025
BACKGROUND: Lack of widespread use of the Patient Health Questionnaire 9-item (PHQ-9) in clinical practice inhibits measurement of treatment follow-up for patients with major depressive disorder (MDD). This study developed, validated and applied a ma...
Female Adult Male Middle Aged Humans Machine Learning Electronic Health Records Depressive Disorder, Major Severity of Illness Index Patient Health Questionnaire
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Predicting mental health treatment outcomes using latent growth mixture models and machine learning in a real-world clinical setting.

Journal of psychiatric research Dec 4, 2024
Previous models of depression outcomes have been limited by symptom heterogeneity within populations. This study conducted a retrospective analysis using latent growth mixture models to identify heterogeneous trajectories within a clinical population...
Area Under Curve Outcome Assessment, Health Care Veterans Outpatients United States Treatment Outcome Mental Health Services Patient Health Questionnaire Adult Male Middle Aged Depression Latent Class Analysis Adolescent Stress Disorders, Post-Traumatic Humans ROC Curve Reproducibility of Results Machine Learning Aged Retrospective Studies Aged, 80 and over Female Young Adult
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Predicting Outcomes of Antidepressant Treatment in Community Practice Settings.

Psychiatric services (Washington, D.C.) Dec 5, 2023
OBJECTIVE: The authors examined whether machine-learning models could be used to analyze data from electronic health records (EHRs) to predict patients' responses to antidepressant medications.
Humans Middle Aged Outcome Assessment, Health Care Machine Learning Aged Antidepressive Agents Patient Health Questionnaire Electronic Health Records Young Adult Depressive Disorder Washington Female Adult Community Mental Health Services Male
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Comparison of an Artificial Intelligence-Enabled Patient Decision Aid vs Educational Material on Decision Quality, Shared Decision-Making, Patient Experience, and Functional Outcomes in Adults With Knee Osteoarthritis: A Randomized Clinical Trial.

JAMA network open Feb 1, 2021
IMPORTANCE: Decision aids can help inform appropriate selection of total knee replacement (TKR) for advanced knee osteoarthritis (OA). However, few decision aids combine patient education, preference assessment, and artificial intelligence (AI) using...
Patient Education as Topic Arthroplasty, Replacement, Knee Patient Reported Outcome Measures Patient Satisfaction Osteoarthritis, Knee Patient Health Questionnaire Decision Making, Shared Aged, 80 and over Male Middle Aged Risk Assessment Decision Support Techniques Humans Female Artificial Intelligence Aged
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A Machine Learning Approach to Understanding Patterns of Engagement With Internet-Delivered Mental Health Interventions.

JAMA network open Jul 1, 2020
IMPORTANCE: The mechanisms by which engagement with internet-delivered psychological interventions are associated with depression and anxiety symptoms are unclear.
Male Humans Anxiety Patient Participation Machine Learning Depression Mental Health Services Patient Health Questionnaire Female Cohort Studies Internet Adult Telemedicine Cognitive Behavioral Therapy
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Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
The Patient Health Questionnaire-9 (PHQ-9) is a validated instrument for assessing depression severity. While some electronic health record (EHR) systems capture PHQ-9 scores in a structured format, unstructured clinical notes remain the only source ...
Electronic Health Records Information Storage and Retrieval Adult Humans Depressive Disorder Severity of Illness Index Patient Health Questionnaire Natural Language Processing
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Getting RID of the blues: Formulating a Risk Index for Depression (RID) using structural equation modeling.

The Australian and New Zealand journal of psychiatry Aug 31, 2017
OBJECTIVE: While risk factors for depression are increasingly known, there is no widely utilised depression risk index. Our objective was to develop a method for a flexible, modular, Risk Index for Depression using structural equation models of key d...
Humans Models, Statistical Machine Learning Depressive Disorder Risk Assessment Patient Health Questionnaire
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