AIMC Topic: Social Determinants of Health
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Social Determinants and Health Equity Activities: Are They Connected with the Adaptation of AI and Telehealth Services in the U.S. Hospitals?
International journal of environmental research and public health
Feb 17, 2025
In recent decades, technological shifts within the healthcare sector have significantly transformed healthcare management and utilization, introducing unprecedented possibilities that elevate quality of life. Organizational factors are recognized as ...
Identifying Adolescent Depression and Anxiety Through Real-World Data and Social Determinants of Health: Machine Learning Model Development and Validation.
JMIR mental health
Feb 12, 2025
BACKGROUND: The prevalence of adolescent mental health conditions such as depression and anxiety has significantly increased. Despite the potential of machine learning (ML), there is a shortage of models that use real-world data (RWD) to enhance earl...
Scalable information extraction from free text electronic health records using large language models.
BMC medical research methodology
Jan 28, 2025
BACKGROUND: A vast amount of potentially useful information such as description of patient symptoms, family, and social history is recorded as free-text notes in electronic health records (EHRs) but is difficult to reliably extract at scale, limiting...
Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Protocol for a Systematic Review.
JMIR research protocols
Jan 21, 2025
BACKGROUND: In recent years, the intersection of natural language processing (NLP) and public health has opened innovative pathways for investigating social determinants of health (SDOH) in textual datasets. Despite the promise of NLP in the SDOH dom...
Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach.
JMIR cancer
Jan 16, 2025
BACKGROUND: Breast cancer screening plays a pivotal role in early detection and subsequent effective management of the disease, impacting patient outcomes and survival rates.
Female
Aged
Breast Neoplasms
Humans
Machine Learning
Mass Screening
Early Detection of Cancer
Mammography
Healthcare Disparities
Middle Aged
United States
Socioeconomic Factors
Socioeconomic Disparities in Health
Spatial Analysis
Social Determinants of Health
Behavioral Risk Factor Surveillance System
Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review.
JMIR mental health
Jan 16, 2025
BACKGROUND: The use of natural language processing (NLP) in mental health research is increasing, with a wide range of applications and datasets being investigated.
A Machine Learning Classification Model for Gastrointestinal Health in Cancer Survivors: Roles of Telomere Length and Social Determinants of Health.
International journal of environmental research and public health
Dec 19, 2024
BACKGROUND: Gastrointestinal (GI) distress is prevalent and often persistent among cancer survivors, impacting their quality of life, nutrition, daily function, and mortality. GI health screening is crucial for preventing and managing this distress. ...
Extracting social determinants of health from inpatient electronic medical records using natural language processing.
Journal of epidemiology and population health
Nov 14, 2024
BACKGROUND: Social determinants of health (SDOH) have been shown to be important predictors of health outcomes. Here we developed methods to extract them from inpatient electronic medical record (EMR) data using techniques compatible with current EMR...
Integrating Social Determinants of Health in Machine Learning-Driven Decision Support for Diabetes Case Management: Protocol for a Sequential Mixed Methods Study.
JMIR research protocols
Sep 25, 2024
BACKGROUND: The use of both clinical factors and social determinants of health (SDoH) in referral decision-making for case management may improve optimal use of resources and reduce outcome disparities among patients with diabetes.
A Systematic Review of Artificial Intelligence Models for Time-to-Event Outcome Applied in Cardiovascular Disease Risk Prediction.
Journal of medical systems
Jul 19, 2024
Artificial intelligence (AI) based predictive models for early detection of cardiovascular disease (CVD) risk are increasingly being utilised. However, AI based risk prediction models that account for right-censored data have been overlooked. This sy...
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