{"url":"/dataset/healthcare-provider-fraud-detection-analysis","name":"Healthcare Provider Fraud Detection Analysis","full_name":null,"description_markdown":"Inpatient claims, Outpatient claims and Beneficiary details of each provider.\r\n\r\nA) Inpatient Data\r\n\r\nThis data provides insights about the claims filed for those patients who are admitted in the hospitals. It also provides additional details like their admission and discharge dates and admit d diagnosis code.\r\n\r\nB) Outpatient Data\r\n\r\nThis data provides details about the claims filed for those patients who visit hospitals and not admitted in it.\r\n\r\nC) Beneficiary Details Data\r\n\r\nThis data contains beneficiary KYC details like health conditions,regioregion they belong to etc.","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/rohitrox/healthcare-provider-fraud-detection-analysis","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":{"name":"CC0: Public Domain","url":null},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"},{"name":"Tabular","url":"/datasets/modality/tabular"}],"tasks":[{"name":"Fraud Detection","url":"/task/fraud-detection","datasets_with_task":"/datasets/task/fraud-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Healthcare Provider Fraud Detection Analysis"],"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/fraud-detection-on-healthcare-provider-fraud","task":"Fraud Detection","dataset_variant":"Healthcare Provider Fraud Detection Analysis","rows":3,"metrics":["AUC","AUPRC"],"first_row_in_archive_order":{"model":"BiRank","paper":"/paper/network-analytics-for-insurance-fraud","metrics":{"AUC":"0.786","AUPRC":"0.175"},"code_links":[{"title":"B-Deprez/NetworkFraud_BiRank_M2V_SAGE","url":"https://github.com/B-Deprez/NetworkFraud_BiRank_M2V_SAGE"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/network-analytics-for-insurance-fraud","title":"Network analytics for insurance fraud detection: a critical case study","date":"2024-05-14","rows_on_this_dataset":3,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}