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Epidemiology

9 papers with code · Medical

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Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks

NeurIPS 2018 sjblim/rmsn_nips_2018

Electronic health records provide a rich source of data for machine learning methods to learn dynamic treatment responses over time.

EPIDEMIOLOGY

BayesFlow: Learning complex stochastic models with invertible neural networks

13 Mar 2020stefanradev93/cINN

In addition, our method incorporates a summary network trained to embed the observed data into maximally informative summary statistics.

BAYESIAN INFERENCE EPIDEMIOLOGY

Multi-task Learning for Aggregated Data using Gaussian Processes

NeurIPS 2019 frb-yousefi/aggregated-multitask-gp

Our model represents each task as the linear combination of the realizations of latent processes that are integrated at a different scale per task.

AIR POLLUTION PREDICTION EPIDEMIOLOGY GAUSSIAN PROCESSES MULTI-TASK LEARNING

Multi-task Learning for Aggregated Data using Gaussian Processes

NeurIPS 2019 frb-yousefi/multitask-gp

Our model represents each task as the linear combination of the realizations of latent processes that are integrated at a different scale per task.

AIR POLLUTION PREDICTION EPIDEMIOLOGY GAUSSIAN PROCESSES MULTI-TASK LEARNING

Parameter elimination in particle Gibbs sampling

NeurIPS 2019 uu-sml/neurips2019-parameter-elimination

Bayesian inference in state-space models is challenging due to high-dimensional state trajectories.

EPIDEMIOLOGY PROBABILISTIC PROGRAMMING

Parameter elimination in particle Gibbs sampling

NeurIPS 2019 uu-sml/neurips2019-parameter-elimination

Bayesian inference in state-space models is challenging due to high-dimensional state trajectories.

EPIDEMIOLOGY PROBABILISTIC PROGRAMMING

Spatio-Temporal Data Mining: A Survey of Problems and Methods

13 Nov 2017devbas/ovassistant-alpha

Large volumes of spatio-temporal data are increasingly collected and studied in diverse domains including, climate science, social sciences, neuroscience, epidemiology, transportation, mobile health, and Earth sciences.

ANOMALY DETECTION EPIDEMIOLOGY

Did You Really Just Have a Heart Attack? Towards Robust Detection of Personal Health Mentions in Social Media

26 Feb 2018p-karisani/FirstPHM

The first, critical, task for these applications is classifying whether a personal health event was mentioned, which we call the (PHM) problem.

EPIDEMIOLOGY