{"url":"/dataset/eicu-crd","name":"eICU-CRD","full_name":"eICU Collaborative Research Database","description_markdown":"The eICU Collaborative Research Database is a large multi-center critical care database made available by Philips Healthcare in partnership with the MIT Laboratory for Computational Physiology.\r\n\r\nThe eICU Collaborative Research Database holds data associated with over 200,000 patient stays, providing a large sample size for research studies.","description_withheld":null,"homepage":"https://eicu-crd.mit.edu/","introduced_date":"2018-09-11","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Medical","url":"/datasets/modality/medical"},{"name":"Tabular","url":"/datasets/modality/tabular"},{"name":"Time series","url":"/datasets/modality/time-series"},{"name":"Tables","url":"/datasets/modality/tables"}],"tasks":[{"name":"Mortality Prediction","url":"/task/mortality-prediction","datasets_with_task":"/datasets/task/mortality-prediction"},{"name":"ICU Mortality","url":"/task/icu-mortality","datasets_with_task":"/datasets/task/icu-mortality"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["eICU-CRD"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/time-series-clustering-on-eicu-collaborative","task":"Time Series Clustering","dataset_variant":"eICU Collaborative Research Database","rows":3,"metrics":["NMI (physiology_6_hours)","NMI (physiology_12_hours)","NMI (physiology_24_hours)"],"first_row_in_archive_order":{"model":"SOM-VAE-prob","paper":"/paper/som-vae-interpretable-discrete-representation","metrics":{"NMI (physiology_24_hours)":"0.0421","NMI (physiology_6_hours)":"0.0474"},"code_links":[{"title":"ratschlab/SOM-VAE","url":"https://github.com/ratschlab/SOM-VAE"},{"title":"KurochkinAlexey/SOM-VAE","url":"https://github.com/KurochkinAlexey/SOM-VAE"},{"title":"ai-how/TIme-series-clustering","url":"https://github.com/ai-how/TIme-series-clustering"},{"title":"alexwndm/state-detection-somvae","url":"https://github.com/alexwndm/state-detection-somvae"},{"title":"merchen911/SOM-VAE","url":"https://github.com/merchen911/SOM-VAE"},{"title":"shrra/minisom","url":"https://github.com/shrra/minisom"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/predicting-patient-outcomes-on-eicu","task":"Predicting Patient Outcomes","dataset_variant":"eICU Collaborative Research Database","rows":1,"metrics":["Kappa"],"first_row_in_archive_order":{"model":"Temporal Pointwise Convolution","paper":"/paper/temporal-pointwise-convolutional-networks-for","metrics":{"Kappa":"0.58"},"code_links":[{"title":"EmmaRocheteau/eICU-LoS-prediction","url":"https://github.com/EmmaRocheteau/eICU-LoS-prediction"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/temporal-pointwise-convolutional-networks-for","title":"Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit","date":"2020-07-18","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/som-vae-interpretable-discrete-representation","title":"SOM-VAE: Interpretable Discrete Representation Learning on Time Series","date":"2018-06-06","rows_on_this_dataset":2,"code_links":6,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":0,"samples_unverified":6,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":6,"samples_ran":0,"samples_unverified":6,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}