AIMC Topic: Behavioral Risk Factor Surveillance System

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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.
Humans Machine Learning Mammography Healthcare Disparities Early Detection of Cancer United States Behavioral Risk Factor Surveillance System Middle Aged Socioeconomic Disparities in Health Mass Screening Social Determinants of Health Socioeconomic Factors Spatial Analysis Female Breast Neoplasms Aged
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Building Risk Prediction Models for Type 2 Diabetes Using Machine Learning Techniques.

Preventing chronic disease Sep 19, 2019
INTRODUCTION: As one of the most prevalent chronic diseases in the United States, diabetes, especially type 2 diabetes, affects the health of millions of people and puts an enormous financial burden on the US economy. We aimed to develop predictive m...
Decision Trees Area Under Curve Diabetes Mellitus, Type 2 Behavioral Risk Factor Surveillance System Models, Biological Humans Risk Factors Neural Networks, Computer
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Female Sterilization and Poor Mental Health: Rates and Relatedness among American Indian and Alaska Native Women.

Women's health issues : official publication of the Jacobs Institute of Women's Health Nov 19, 2015
OBJECTIVE: To describe the reproductive and mental health of American Indian and Alaska Native (AI/AN) women, an understudied population.
Sterilization, Reproductive Inuit Black People Behavioral Risk Factor Surveillance System Black or African American United States Adult Indians, North American Health Behavior White People Prevalence Middle Aged Alaska Natives Female Hispanic or Latino Mental Health Humans Young Adult
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Unhealthy Behaviors, Prevention Measures, and Neighborhood Cardiovascular Health: A Machine Learning Approach.

Journal of public health management and practice : JPHMP Jan 1, 2019
This study identifies and ranks predictors of cardiovascular health at the neighborhood level in the United States. We merged the 500 Cities Data and the 2011-2015 American Community Survey to create a new data set that includes sociodemographic char...
Preventive Medicine Health Behavior Behavioral Risk Factor Surveillance System Population Surveillance Cardiovascular Diseases Machine Learning Aged Humans Male Residence Characteristics United States Adult Female
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