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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,592 datasets
California hospital data includes bed classifications, occupancy rates, patient discharges, live births, and service volumes for surgical and emergency care. The dataset is compiled by the State of California and was last updated in December 2025. Specific row and column counts are not provided.
Fundus images likely intended for the detection and grading of diabetic retinopathy. The dataset is hosted on Kaggle, a platform for data science competitions and projects. Specific details on the number of images, collection methodology, and licensing are not provided in the available metadata.
A dataset of blood test results, likely used for health assessment. It is published on Kaggle and includes platform tags for health and diabetes. The specific source, collection method, and data volume are not detailed in the provided metadata.
A dataset for predicting heart disease using logistic regression, sourced from Kaggle. The specific number of records, features, and data collection methodology are not detailed in the provided metadata. Further details about the data's origin, size, and variables require inspection after download.
A 2026 dataset by Ava Mehdipour from Borealis Harvested Dataverse, focusing on the equitable measurement of older adults' perceived health. The dataset supports research in medicine, health, and life sciences, though specific row and column counts are unavailable.
149 acute ischemic stroke training cases featuring longitudinal multimodal imaging and clinical outcomes, released by hugging-science for the ISLES'24 Challenge. The collection includes admission CT scans (NCCT, CTA, 4D CTP) and follow-up MRI (DWI, ADC) paired with expert-annotated infarct and large vessel occlusion masks.
Axios/Ipsos American Health Index Wave 10 is a public opinion survey dataset. It was produced by Axios and Ipsos, with the tenth wave released in January 2026. The dataset is hosted by the Roper Harvested Dataverse.
California Safe Cosmetics Program data contains cosmetic products sold in California that contain ingredients known or suspected to cause cancer or reproductive harm. It includes product names, companies, brands, categories, CAS numbers, chemical names, and reporting dates. The data is reported by manufacturers with annual sales over one million dollars.
A 2026 study code book analyzes qualitative data on healthcare provider experiences caring for pregnant women with sickle cell disease in Uganda. The data was authored by Jackline Akello and is hosted by Harvard Dataverse.
The dataset contains raw data reported by applicable laboratories for the Medicare Clinical Laboratory Fee Schedule. It includes private payor rates and associated test volumes for laboratory tests, as mandated by the Protecting Access to Medicare Act. Laboratories must report if their volume exceeds 10 tests for the collection period.
Incident data is collected via the New York Fire Incident Reporting System (NYFIRS) and reported to the National Fire Incident Reporting System (NFIRS). The dataset details incidents handled by FDNY Fire units, including fire, medical, and non-fire emergencies. It is published by data.cityofnewyork.us and was last updated in October 2025.
California resident hospital births are detailed by maternal characteristics, delivery methods, and birth outcomes. The dataset includes statistics on payer types such as Medi-Cal, private insurance, and uninsured mothers, along with maternal comorbidities like hypertension and diabetes. Data for certain comorbidities are provisionally omitted for calendar years 2020-2022.
4.7 million image-text pairs form a large-scale multimodal corpus for clinical imaging. The dataset, created by kzhang20, includes approximately 1 million samples with spatial grounding annotations like cursor traces or bounding boxes. It spans 12 imaging domains such as X-ray, CT, and MRI, and was last updated on December 4, 2025.
EMS-Knowledge is a lightweight, retrieval-friendly dataset distilled from Emergency Medical Services reference materials. Each row contains a short section of text paired with its file name, topic, and section title. The dataset was created by Xueren and last updated on Hugging Face on 2025-11-21.
Medicare Post-Acute Care Utilization - Hospice data details beneficiary characteristics, service use, and payments at hospice providers. The dataset is aggregated at provider, state, and national levels. It is published by the U.S. Department of Health & Human Services and was last updated in December 2025.
Medicare Part D Prescribers by Provider dataset details prescription drugs paid for under Medicare Part D, identifying individual physicians and healthcare providers by their National Provider Identifier (NPI). For each prescriber, it summarizes the total number of prescriptions dispensed and the total drug cost. The data is published by the U.S. Department of Health & Human Services and was last updated in December 2025.
U.S. Department of Health & Human Services data summarizes Medicare post-acute care utilization at inpatient rehabilitation facilities. Information is aggregated at provider, state, and national levels. The dataset includes payment details such as provider charges, Medicare allowed amounts, and standardized payments.
Information on services, payments, and submitted charges for Original Medicare Part B beneficiaries treated in Outpatient Prospective Payment System hospitals. The data is organized by provider CMS Certification Number and Ambulatory Payment Classification. It is published by the U.S. Department of Health & Human Services and was last updated in December 2025.
U.S. Department of Health & Human Services provides geographic comparisons of Medicare Part D opioid prescriptions. The dataset reports the number and percentage of opioid prescriptions at state, county, and ZIP code levels. It supports analysis of prescribing patterns across different geographic granularities.
Aggregate counts of medical, pharmacy, and enrollment claims from California's statewide Healthcare Payments Data Program. Data is grouped by payer type (Commercial, Medi-Cal, Medicare), product type, year, and procedure setting. The snapshot includes three distinct files for enrollment, medical procedures, and pharmacy prescriptions.