AIMC Topic: Ill-Housed Persons

Clear Filters Showing 1 to 7 of 7 articles

Factors predicting access to medications for opioid use disorder for housed and unhoused patients: A machine learning approach.

PloS one Sep 27, 2024
BACKGROUND: Opioid use disorder (OUD) is a growing public health crisis, with opioids involved in an overwhelming majority of drug overdose deaths in the United States in recent years. While medications for opioid use disorder (MOUD) effectively redu...
Adult Male Middle Aged Humans Machine Learning Female Opioid-Related Disorders Ill-Housed Persons United States Health Services Accessibility Analgesics, Opioid
View on PubMed DOI

Predicting Intimate Partner Violence Perpetration Among Young Adults Experiencing Homelessness in Seven U.S. Cities Using Interpretable Machine Learning.

Journal of interpersonal violence Jul 24, 2024
Young adults experiencing homelessness (YAEH) are at higher risk for intimate partner violence (IPV) victimization than their housed peers. This is often due to their increased vulnerability to abuse and victimization before and during homelessness, ...
Risk Factors Young Adult Ill-Housed Persons Adult Male Humans Intimate Partner Violence Machine Learning Crime Victims Cities Female United States
View on PubMed DOI

Predicting Homelessness Among Transitioning U.S. Army Soldiers.

American journal of preventive medicine Feb 3, 2024
INTRODUCTION: This study develops a practical method to triage Army transitioning service members (TSMs) at highest risk of homelessness to target a preventive intervention.
Humans Prevalence Surveys and Questionnaires Machine Learning United States Female Longitudinal Studies Military Personnel Ill-Housed Persons Young Adult Adult Male
View on PubMed DOI

Applying Machine Learning to Linked Administrative and Clinical Data to Enhance the Detection of Homelessness among Vulnerable Veterans.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
U.S. military veterans who were discharged from service for misconduct are at high risk for homelessness. Stratifying homelessness risk based on both military service factors and clinical characteristics could facilitate targeted provision of prevent...
Veterans Male Electronic Health Records Veterans Health United States Humans Female Medical Record Linkage Adult Machine Learning Databases as Topic Models, Statistical United States Department of Veterans Affairs Ill-Housed Persons Management Information Systems
View on PubMed

Tuberculosis diagnosis support analysis for precarious health information systems.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: Pulmonary tuberculosis is a world emergency for the World Health Organization. Techniques and new diagnosis tools are important to battle this bacterial infection. There have been many advances in all those fields, but in de...
Colombia Ill-Housed Persons Diabetes Complications Health Information Systems Diagnosis, Computer-Assisted Acquired Immunodeficiency Syndrome Tuberculosis, Pulmonary Middle Aged Public Health Humans Adult Neural Networks, Computer Sensitivity and Specificity Female Male Young Adult
View on PubMed DOI

Addressing obesity and homelessness via ChatGPT.

Clinical medicine (London, England) Nov 1, 2023
Humans Artificial Intelligence Obesity Ill-Housed Persons
View on PubMed DOI

Rethink government with AI.

Nature Apr 1, 2019
Prejudice Federal Government Humans Artificial Intelligence Policy Making Police Government Regulation Social Work Foodborne Diseases Computer Simulation Facial Recognition Social Media Big Data Minority Groups Inventions Machine Learning Models, Theoretical Ill-Housed Persons Administrative Personnel Housing Forecasting
View on PubMed DOI
Popular Topics
Recent Journals