AIMC Topic: Preventive Medicine

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Accuracy of Online Artificial Intelligence Models in Primary Care Settings.

American journal of preventive medicine Feb 12, 2024
INTRODUCTION: The importance of preventive medicine and primary care in the sphere of public health is expanding, yet a gap exists in the utilization of recommended medical services. As patients increasingly turn to online resources for supplementary...
Primary Health Care Internet Preventive Medicine Humans Artificial Intelligence Surveys and Questionnaires
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Machine learning for emerging infectious disease field responses.

Scientific reports Jan 10, 2022
Emerging infectious diseases (EIDs), including the latest COVID-19 pandemic, have emerged and raised global public health crises in recent decades. Without existing protective immunity, an EID may spread rapidly and cause mass casualties in a very sh...
Risk Factors Hospitalization Public Health COVID-19 SARS-CoV-2 Logistic Models Models, Theoretical International Classification of Diseases Severity of Illness Index Hospital Mortality Machine Learning Pandemics Humans Preventive Medicine Communicable Diseases, Emerging
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Predicting the risk of acute care readmissions among rehabilitation inpatients: A machine learning approach.

Journal of biomedical informatics Sep 18, 2018
INTRODUCTION: Readmission from inpatient rehabilitation facilities to acute care hospitals is a serious problem. This study aims to develop a predictive model based on machine learning algorithms to identify patients at high risk of readmission.
Preventive Medicine Logistic Models Outpatients Support Vector Machine Algorithms Rehabilitation Female Patient Readmission Longitudinal Studies Retrospective Studies Humans Hospitalization Risk Machine Learning Sensitivity and Specificity Regression Analysis Aged Middle Aged North Carolina Inpatients Male ROC Curve
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Predicting metabolic syndrome: Machine learning techniques for improved preventive medicine.

Health informatics journal Jan 1, 2025
Metabolic syndrome (MetS) has a significant impact on health. MetS is the umbrella term for a group of interdependent metabolic threats that contribute to the emergence of diseases that can lead to death. This study was designed to better predict th...
Risk Factors Aged Adult Prospective Studies Humans Female Machine Learning Metabolic Syndrome Data Mining Preventive Medicine Male Middle Aged
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Leveraging Digital Health and Machine Learning Toward Reducing Suicide-From Panacea to Practical Tool.

JAMA psychiatry Oct 1, 2019
Medical Informatics Applications Preventive Medicine Mobile Applications Digital Technology Risk Assessment Suicide Prevention Machine Learning Humans 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...
Machine Learning Female Adult Male Aged Humans Behavioral Risk Factor Surveillance System Preventive Medicine Residence Characteristics Cardiovascular Diseases Population Surveillance United States Health Behavior
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