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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 301–350 of 425 papers

TitleStatusHype
Toponym Identification in Epidemiology Articles - A Deep Learning Approach—0
Tracking disease outbreaks from sparse data with Bayesian inference—0
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure—0
Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach—0
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data—0
Unfolding selection to infer individual risk heterogeneity for optimising disease forecasts and policy development—0
Use of mathematical modelling to assess respiratory syncytial virus epidemiology and interventions: A literature review—0
Variable subset selection via GA and information complexity in mixtures of Poisson and negative binomial regression models—0
Viral epidemiology of the adult Apis Mellifera infested by the Varroa destructor mite—0
Visual Analytics of Image-Centric Cohort Studies in Epidemiology—0
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference—0
WaveGNN: Modeling Irregular Multivariate Time Series for Accurate Predictions—0
WeatherFormer: A Pretrained Encoder Model for Learning Robust Weather Representations from Small Datasets—0
What Are You Anxious About? Examining Subjects of Anxiety during the COVID-19 Pandemic—0
Leveraging advances in machine learning for the robust classification and interpretation of networks—0
WikiKreator: Improving Wikipedia Stubs Automatically—0
x.ent: R Package for Entities and Relations Extraction based on Unsupervised Learning and Document Structure—0
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records—0
Yesil o1 Pro: Evidence-Based AI Model for Health and Benchmarking in Clinical Decision Support—0
A Causal Framework for Decomposing Spurious Variations—0
A comprehensive review of Chronic Kidney Disease of Unknown Etiology—0
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation—0
A Data-Driven Control-Theoretic Paradigm for Pandemic Mitigation with Application to Covid-19—0
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models—0
A deep learning modeling framework to capture mixing patterns in reactive-transport systems—0
A framework for the modelling and the analysis of epidemiological spread in commuting populations—0
A Generalization Bound of Deep Neural Networks for Dependent Data—0
Agent based simulators for epidemic modelling: Simulating larger models using smaller ones—0
A Hamiltonian Higher-Order Elasticity Framework for Dynamic Diagnostics(2HOED)—0
A hybrid transmission model for Plasmodium vivax accounting for superinfection, immunity and the hypnozoite reservoir—0
Algorithmic approach for an unique definition of the next generation matrix—0
Algorithmic Reduction of Biological Networks With Multiple Time Scales—0
A machine learning-based severity prediction tool for diabetic sensorimotor polyneuropathy using Michigan neuropathy screening instrumentations—0
A Markov chain model to investigate the spread of antibiotic-resistant bacteria in hospitals—0
A Mathematical Model of COVID-19 Transmission—0
A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-19—0
A multi-scale model of virus pandemic: Heterogeneous interactive entities in a globally connected world—0
An activation-clearance model for Plasmodium vivax malaria—0
An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States—0
An epidemical model with nonlocal spatial infections—0
An epidemiological model of viral infections in a Varroa-infested bee colony: the case of a bee-dependent mite population size—0
A New Perspective on Determining Disease Invasion and Population Persistence in Heterogeneous Environments—0
An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development—0
An innovative solution for breast cancer textual big data analysis—0
An Interdisciplinary Perspective of the Built-Environment Microbiome—0
A note on metapopulation models—0
A Novel Epidemiological Approach to Geographically Mapping Population Dry Eye Disease in the United States through Google Trends—0
An SIRS-model considering waning efficiency and periodic re-vaccination—0
Antimicrobial resistance and use, and rates of hospitalization associated with bacterial infections, including sepsis—0
Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks—0
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