SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 425 papers

TitleStatusHype
A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data—0
A multi-scale model of virus pandemic: Heterogeneous interactive entities in a globally connected world—0
A systems biology approach to COVID-19 progression in a population—0
An activation-clearance model for Plasmodium vivax malaria—0
Cox process representation and inference for stochastic reaction-diffusion processes—0
Creating a Discipline-specific Commons for Infectious Disease Epidemiology—0
Creation and use of Language Resources in a Question-Answering eHealth System—0
A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic—0
Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19—0
Data-driven deep learning algorithms for time-varying infection rates of COVID-19 and mitigation measures—0
Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model—0
A Novel Epidemiological Approach to Geographically Mapping Population Dry Eye Disease in the United States through Google Trends—0
Bridging the COVID-19 Data and the Epidemiological Model using Time Varying Parameter SIRD Model—0
Data needs for integrated economic-epidemiological models of pandemic mitigation policies—0
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
Black-Box Autoregressive Density Estimation for State-Space Models—0
A note on metapopulation models—0
Development of CODO: A Comprehensive Tool for COVID-19 Data Representation, Analysis, and Visualization—0
Algorithmic Reduction of Biological Networks With Multiple Time Scales—0
Show:102550
← PrevPage 5 of 17Next →

No leaderboard results yet.