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Correlations between genetic factors, environmental factors, life style-related parameters, age and diseases are analyzed.\n\n\n<span class=\"description-source\">Source: [Visual Analytics of Image-Centric Cohort Studies in Epidemiology ](https://arxiv.org/abs/1501.04009)</span>","categories":[{"name":"Medical","url":"/area/medical"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":425,"papers_with_code":106,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":0},"benchmarks":[],"datasets":[{"url":"/dataset/phm2017","name":"PHM2017","full_name":"PHM2017","num_papers_in_archive":7}],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":30,"of":106,"tagged_in_all":425,"items":[{"url":"/paper/bayesflow-learning-complex-stochastic-models","title":"BayesFlow: Learning complex stochastic models with invertible neural networks","date":"2020-03-13","arxiv_id":"2003.06281","repositories_listed":3,"syntology":null},{"url":"/paper/spatio-temporal-diffusion-point-processes","title":"Spatio-temporal Diffusion Point Processes","date":"2023-05-21","arxiv_id":"2305.12403","repositories_listed":2,"syntology":{"n":7,"n_ran":7,"n_unverified":0,"n_pointer_only":7}},{"url":"/paper/practical-and-scalable-simulations-of-non","title":"Practical and scalable simulations of non-Markovian stochastic processes and temporal networks with individual node properties","date":"2022-12-09","arxiv_id":"2212.05059","repositories_listed":2,"syntology":null},{"url":"/paper/embedding-physics-to-learn-spatiotemporal","title":"Encoding physics to learn reaction-diffusion processes","date":"2021-06-09","arxiv_id":"2106.04781","repositories_listed":2,"syntology":{"n":8,"n_ran":3,"n_unverified":5,"n_pointer_only":7}},{"url":"/paper/epidemioptim-a-toolbox-for-the-optimization-1","title":"EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models","date":"2020-10-09","arxiv_id":"2010.04452","repositories_listed":2,"syntology":null},{"url":"/paper/simulation-based-inference-for-global-health","title":"Simulation-Based Inference for Global Health Decisions","date":"2020-05-14","arxiv_id":"2005.07062","repositories_listed":2,"syntology":null},{"url":"/paper/multi-task-learning-for-aggregated-data-using","title":"Multi-task Learning for Aggregated Data using Gaussian Processes","date":"2019-06-22","arxiv_id":"1906.09412","repositories_listed":2,"syntology":{"n":5,"n_ran":0,"n_unverified":5,"n_pointer_only":0}},{"url":"/paper/correspondence-analysis-using-neural-networks","title":"Correspondence Analysis Using Neural Networks","date":"2019-02-21","arxiv_id":"1902.07828","repositories_listed":2,"syntology":null},{"url":"/paper/did-you-really-just-have-a-heart-attack","title":"Did You Really Just Have a Heart Attack? 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