AIMC Topic: Georgia

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A comparison of machine learning algorithms for the surveillance of autism spectrum disorder.

PloS one Sep 25, 2019
OBJECTIVE: The Centers for Disease Control and Prevention (CDC) coordinates a labor-intensive process to measure the prevalence of autism spectrum disorder (ASD) among children in the United States. Random forests methods have shown promise in speedi...
Public Health Surveillance Feasibility Studies Epidemiological Monitoring United States Support Vector Machine Georgia Centers for Disease Control and Prevention, U.S. Humans Autism Spectrum Disorder Deep Learning Child Prevalence
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Impact of a Pharmacist-Led Intervention on 30-Day Readmission and Assessment of Factors Predictive of Readmission in African American Men With Heart Failure.

American journal of men's health Nov 28, 2018
Heart failure (HF) is responsible for more 30-day readmissions than any other condition. Minorities, particularly African American males (AAM), are at much higher risk for readmission than the general population. In this study, demographic, social, a...
Georgia Pharmacists Academic Medical Centers Black or African American Humans Machine Learning Electronic Health Records Hospitalization Prognosis Case-Control Studies Male Incidence Heart Failure Middle Aged Predictive Value of Tests Aged Patient Readmission Risk Assessment Adult
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Development of a Machine Learning Algorithm for the Surveillance of Autism Spectrum Disorder.

PloS one Dec 21, 2016
The Autism and Developmental Disabilities Monitoring (ADDM) Network conducts population-based surveillance of autism spectrum disorder (ASD) among 8-year old children in multiple US sites. To classify ASD, trained clinicians review developmental eval...
Area Under Curve Machine Learning Georgia Algorithms Child Humans Sensitivity and Specificity ROC Curve Autism Spectrum Disorder Male Female Prevalence
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Relation of Aortic Valve Morphologic Characteristics to Aortic Valve Insufficiency and Residual Stenosis in Children With Congenital Aortic Stenosis Undergoing Balloon Valvuloplasty.

The American journal of cardiology Dec 31, 2015
Aortic valve morphology has been invoked as intrinsic to outcomes of balloon aortic valvuloplasty (BAV) for congenital aortic valve stenosis. We sought to use aortic valve morphologic features to discriminate between valves that respond favorably or ...
Georgia Treatment Outcome Infant Humans Aortic Valve Stenosis Aortic Valve Aortic Valve Insufficiency Balloon Valvuloplasty Infant, Newborn Ultrasonography
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Using applied machine learning to predict healthcare utilization based on socioeconomic determinants of care.

The American journal of managed care Jan 1, 2020
OBJECTIVES: To determine if it is possible to risk-stratify avoidable utilization without clinical data and with limited patient-level data.
Humans Machine Learning Female Decision Trees Emergency Service, Hospital Social Determinants of Health Child Socioeconomic Factors Male Patient Acceptance of Health Care Middle Aged Ohio Young Adult Adolescent Alabama Risk Child, Preschool Hospitalization Adult Georgia Infant Aged
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