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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 301–325 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
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