AIMC Topic: Public Health Surveillance

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Subjective Well-Being of Chinese Sina Weibo Users in Residential Lockdown During the COVID-19 Pandemic: Machine Learning Analysis.

Journal of medical Internet research Dec 17, 2020
BACKGROUND: During the COVID-19 pandemic, residential lockdowns were implemented in numerous cities in China to contain the rapid spread of the disease. Although these stringent regulations effectively slowed the spread of COVID-19, they may have pos...
Aged Aged, 80 and over Young Adult Social Media Humans COVID-19 Adult Male Quarantine Algorithms Machine Learning Middle Aged Asian People China Female Social Isolation Pandemics Public Health Surveillance
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Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities.

JAMA network open Dec 1, 2020
IMPORTANCE: Suicide is a leading cause of death in the US. However, official national statistics on suicide rates are delayed by 1 to 2 years, hampering evidence-based public health planning and decision-making.
United States Public Health Surveillance Emergency Service, Hospital Information Storage and Retrieval Forecasting Cross-Sectional Studies Humans Public Health Machine Learning Suicide
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Application of machine learning to the prediction of postoperative sepsis after appendectomy.

Surgery Sep 18, 2020
BACKGROUND: We applied various machine learning algorithms to a large national dataset to model the risk of postoperative sepsis after appendectomy to evaluate utility of such methods and identify factors associated with postoperative sepsis in these...
Adult Male Middle Aged Postoperative Complications Machine Learning Prognosis Female Public Health Surveillance Factor Analysis, Statistical Area Under Curve Disease Susceptibility Sepsis ROC Curve Models, Theoretical Humans Appendectomy
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Digital health innovation to integrate palliative care during the COVID-19 pandemic.

The American journal of emergency medicine Aug 19, 2020
Public Health Surveillance Telemedicine Palliative Care COVID-19 SARS-CoV-2 Comorbidity Humans Artificial Intelligence Pandemics
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Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study.

Journal of medical Internet research Aug 12, 2020
BACKGROUND: Twitter presents a valuable and relevant social media platform to study the prevalence of information and sentiment on vaping that may be useful for public health surveillance. Machine learning classifiers that identify vaping-relevant tw...
Machine Learning Deep Learning Longitudinal Studies Public Health Surveillance Social Media Humans Vaping
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Artificial Intelligence-Empowered Mobilization of Assessments in COVID-19-like Pandemics: A Case Study for Early Flattening of the Curve.

International journal of environmental research and public health May 14, 2020
The global outbreak of the Coronavirus Disease 2019 (COVID-19) pandemic has uncovered the fragility of healthcare and public health preparedness and planning against epidemics/pandemics. In addition to the medical practice for treatment and immunizat...
Humans Coronavirus Infections Public Health Informatics Betacoronavirus Pneumonia, Viral SARS-CoV-2 Artificial Intelligence Coronavirus Public Health Pandemics Disease Outbreaks COVID-19 Public Health Surveillance
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Food Liking-Based Diet Quality Indexes (DQI) Generated by Conceptual and Machine Learning Explained Variability in Cardiometabolic Risk Factors in Young Adults.

Nutrients Mar 25, 2020
The overall pattern of a diet (diet quality) is recognized as more important to health and chronic disease risk than single foods or food groups. Indexes of diet quality can be derived theoretically from evidence-based recommendations, empirically fr...
Adolescent Public Health Surveillance Diet Surveys Feeding Behavior Humans Food Quality Cardiometabolic Risk Factors Adult Male Nutrition Assessment Machine Learning Diet Female Young Adult
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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 Deep Learning Epidemiological Monitoring Humans Georgia Child Autism Spectrum Disorder Centers for Disease Control and Prevention, U.S. United States Prevalence Support Vector Machine
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Artificial Intelligence for Surveillance in Public Health.

Yearbook of medical informatics Aug 16, 2019
OBJECTIVES: To introduce and summarize current research in the field of Public Health and Epidemiology Informatics.
Public Health Informatics Epidemiology Animals Public Health Surveillance Natural Language Processing Humans Artificial Intelligence
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Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data.

Yearbook of medical informatics Aug 16, 2019
OBJECTIVE: We present a narrative review of recent work on the utilisation of Natural Language Processing (NLP) for the analysis of social media (including online health communities) specifically for public health applications.
Humans Public Health Bibliometrics Natural Language Processing Public Health Surveillance Health Services Research Social Media Patient Generated Health Data
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