{"url":"/dataset/mimic-iv-icd9-top50","name":"MIMIC-IV-ICD9-top50","full_name":"MIMIC-IV-ICD9-top50","description_markdown":"The MIMIC-IV-ICD9 dataset, featuring the top 50 most frequently occurring labels.","description_withheld":null,"homepage":"","introduced_date":"2023-04-27","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Medical Code Prediction","url":"/task/medical-code-prediction","datasets_with_task":"/datasets/task/medical-code-prediction"}],"languages":[],"variants":["MIMIC-IV-ICD9-top50"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/medical-code-prediction-on-mimic-iv-icd9","task":"Medical Code Prediction","dataset_variant":"MIMIC-IV-ICD9-top50","rows":5,"metrics":["AUC Macro","AUC Micro","F1 Macro","F1 Micro","Precision @5"],"first_row_in_archive_order":{"model":"MSMN","paper":"/paper/mimic-iv-icd-a-new-benchmark-for-extreme-1","metrics":{"AUC Macro":"95.13","AUC Micro":"96.46","F1 Macro":"71.85","F1 Micro":"75.78","Precision @5":"62.60"},"code_links":[{"title":"thomasnguyen92/MIMIC-IV-ICD-data-processing","url":"https://github.com/thomasnguyen92/MIMIC-IV-ICD-data-processing"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/mimic-iv-icd-a-new-benchmark-for-extreme-1","title":"Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification","date":"2023-04-27","rows_on_this_dataset":5,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"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."}