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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

Showing 176200 of 425 papers

TitleStatusHype
Sensor data-driven analysis for identification of causal relationships between exposure to air pollution and respiratory rate in asthmatics0
Neural Network Augmented Compartmental Pandemic Models0
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe0
Practical and scalable simulations of non-Markovian stochastic processes and temporal networks with individual node propertiesCode0
GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks0
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling0
Retrospective analysis of SARS-CoV-2 omicron invasion over delta in French regions in 2021-22: a status-based multi-variant modelCode0
Confound-leakage: Confound Removal in Machine Learning Leads to LeakageCode0
Generalised Gillespie Algorithms for Simulations in a Rule-Based Epidemiological Model Framework0
Congruity of genomic and epidemiological data in modeling of local cholera outbreaksCode0
Automatic ICD Coding Exploiting Discourse Structure and Reconciled Code EmbeddingsCode0
What Are You Anxious About? Examining Subjects of Anxiety during the COVID-19 Pandemic0
Covariance regression with random forestsCode0
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning0
Agent based simulators for epidemic modelling: Simulating larger models using smaller ones0
Data needs for integrated economic-epidemiological models of pandemic mitigation policies0
An agent-based modeling approach for real-world economic systems: Example and calibration with a Social Accounting Matrix of Spain0
A hybrid transmission model for Plasmodium vivax accounting for superinfection, immunity and the hypnozoite reservoir0
A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-190
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis0
Machine learning of percolation models using graph convolutional neural networks0
Eco-evolutionary tradeoffs in the dynamics of prion strain competition0
Spatiotemporal Data Mining: A Survey0
Stochastic compartmental models of COVID-19 pandemic must have temporally correlated uncertainties0
Moving towards FAIR practices in epidemiological research0
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