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Epidemiology

Epidemiology is a scientific discipline that provides reliable knowledge for clinical medicine focusing on prevention, diagnosis and treatment of diseases. Research in Epidemiology aims at characterizing risk factors for the outbreak of diseases and at evaluating the efficiency of certain treatment strategies, e.g., to compare a new treatment with an established gold standard. This research is strongly hypothesis-driven and statistical analysis is the major tool for epidemiologists so far. Correlations between genetic factors, environmental factors, life style-related parameters, age and diseases are analyzed.

Source: Visual Analytics of Image-Centric Cohort Studies in Epidemiology

Papers

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Showing 101–150 of 425 papers

TitleStatusHype
A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data—0
A multi-scale model of virus pandemic: Heterogeneous interactive entities in a globally connected world—0
A systems biology approach to COVID-19 progression in a population—0
An activation-clearance model for Plasmodium vivax malaria—0
Cox process representation and inference for stochastic reaction-diffusion processes—0
Creating a Discipline-specific Commons for Infectious Disease Epidemiology—0
Creation and use of Language Resources in a Question-Answering eHealth System—0
A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic—0
Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19—0
Data-driven deep learning algorithms for time-varying infection rates of COVID-19 and mitigation measures—0
Bugs as Features (Part II): A Perspective on Enriching Microbiome-Gut-Brain Axis Analyses—0
Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model—0
A Novel Epidemiological Approach to Geographically Mapping Population Dry Eye Disease in the United States through Google Trends—0
Data needs for integrated economic-epidemiological models of pandemic mitigation policies—0
Data, tools and resources for mining social media drug chatter—0
Deep clustering of longitudinal data—0
Deep Learning applications for COVID-19—0
Deep Learning for Epidemiological Predictions—0
Bridging the COVID-19 Data and the Epidemiological Model using Time Varying Parameter SIRD Model—0
Deep spatio-temporal point processes: Advances and new directions—0
Understanding Multistationarity of Fully Open Reaction Networks—0
Black-Box Autoregressive Density Estimation for State-Space Models—0
A note on metapopulation models—0
Development of CODO: A Comprehensive Tool for COVID-19 Data Representation, Analysis, and Visualization—0
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications—0
A New Perspective on Determining Disease Invasion and Population Persistence in Heterogeneous Environments—0
Algorithmic Reduction of Biological Networks With Multiple Time Scales—0
A Causal Framework for Decomposing Spurious Variations—0
Beyond ranking nodes: Predicting epidemic outbreak sizes by network centralities—0
Bekli:A Simple Approach to Twitter Text Normalization.—0
Algorithmic approach for an unique definition of the next generation matrix—0
Drawing and Analyzing Causal DAGs with DAGitty—0
Behavioral epidemiology: An economic model to evaluate optimal policy in the midst of a pandemic—0
Distilling Information from a Flood: A Possibility for the Use of Meta-Analysis and Systematic Review in Machine Learning Research—0
Bayesian Semi-Parametric Spatial Dispersed Count Model for Precipitation Analysis—0
An Interdisciplinary Perspective of the Built-Environment Microbiome—0
A Data-Driven Control-Theoretic Paradigm for Pandemic Mitigation with Application to Covid-19—0
Dynamic causal modelling of immune heterogeneity—0
Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks—0
Dynamics and Control of Infections on Social Networks—0
Eco-evolutionary tradeoffs in the dynamics of prion strain competition—0
Effective Resistance for Pandemics: Mobility Network Sparsification for High-Fidelity Epidemic Simulation—0
Effect of Out Of Vocabulary Terms on Inferring Eligibility Criteria for a Retrospective Study in Hebrew EHR—0
Efficient simulation of individual-based population models: the R Package IBMPopSim—0
Embedded model discrepancy: A case study of Zika modeling—0
Disease Event Detection based on Deep Modality Analysis—0
Empowering individual trait prediction using interactions—0
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories—0
Bayesian ensemble learning for predicting health outcomes of multipollutant mixtures—0
An innovative solution for breast cancer textual big data analysis—0
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