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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 401–425 of 425 papers

TitleStatusHype
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
Generalizing Correspondence Analysis for Applications in Machine Learning—0
Deep spatio-temporal point processes: Advances and new directions—0
Understanding Multistationarity of Fully Open Reaction Networks—0
Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System—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
Digital Epidemiology: Leveraging Social Media for Insight into Epilepsy and Mental Health—0
Discovering Latent Structural Causal Models from Spatio-Temporal Data—0
Discovering maximally consistent distribution of causal tournaments with Large Language Models—0
Discriminant chronicles mining: Application to care pathways analytics—0
Disease Event Detection based on Deep Modality Analysis—0
Distilling Information from a Flood: A Possibility for the Use of Meta-Analysis and Systematic Review in Machine Learning Research—0
Drawing and Analyzing Causal DAGs with DAGitty—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
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