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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 176–200 of 425 papers

TitleStatusHype
A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-19—0
Differentiable Agent-based EpidemiologyCode1
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis—0
Machine learning of percolation models using graph convolutional neural networks—0
Eco-evolutionary tradeoffs in the dynamics of prion strain competition—0
Spatiotemporal Data Mining: A Survey—0
Stochastic compartmental models of COVID-19 pandemic must have temporally correlated uncertainties—0
Moving towards FAIR practices in epidemiological research—0
Multi-fidelity Hierarchical Neural ProcessesCode0
LAPIS is a fast web API for massive open virus sequencing databasesCode1
Innovations in Integrating Machine Learning and Agent-Based Modeling of Biomedical Systems—0
Enriching Epidemiological Thematic Features For Disease Surveillance Corpora Classification—0
Petri nets in epidemiology—0
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage—0
Counterfactual Analysis in Dynamic Latent State Models—0
Pneumococcus and the stress-gradient hypothesis: a trade-off links R_0 and susceptibility to co-colonization across countries—0
Inference of a Rumor's Source in the Independent Cascade Model—0
New results and open questions for SIR-PH epidemic models with linear birth rate, loss of immunity, vaccination, and disease and vaccination fatalities—0
COVID-19 epidemiology as emergent behavior on a dynamic transmission forestCode0
Probabilistic AutoRegressive Neural Networks for Accurate Long-range ForecastingCode0
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time SeriesCode0
A machine learning-based severity prediction tool for diabetic sensorimotor polyneuropathy using Michigan neuropathy screening instrumentations—0
Implications of Mortality Displacement for Effect Modification and Selection Bias—0
Modeling-informed policy, policy evaluated by modeling: Evolution of mathematical epidemiology in the context of society and economy—0
Enhancing crowd flow prediction in various spatial and temporal granularitiesCode1
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