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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,799 datasets
Provisional 2020 death counts in the United States track diabetes, COVID-19, and other select causes, broken down by month, sex, and age group. The data is compiled by the National Center for Health Statistics (NCHS) via the data.cdc.gov portal and was last updated in April 2025.
Survey data from the retired Behavioral Risk Factor Surveillance System (BRFSS) Vision Module covers 2005 to 2016. It includes responses to questions on vision impairment, access to eye care, and self-reported eye diseases, collected by the Centers for Disease Control and Prevention (CDC). The dataset contains aggregated estimates for various demographic and geographic subgroups.
Enforcement records from Building Code, Zoning Code, Blight Remediation, Housing Code, and Health and Human Services sources. Data is downloaded nightly from the city's cloud-based Accela Permit system into an Enterprise GIS database. The dataset includes records from January 1, 2020, to the present.
NHIS Teen data from the National Health Interview Survey provides interactive summary health statistics for U.S. youth aged 12-17. The dataset includes estimates for selected health topics, with data published by data.cdc.gov and last updated in April 2025. It contains columns for health outcomes, demographic groups, percentages, and confidence intervals.
2015 discharge-level records detail patient characteristics, diagnoses, treatments, and charges from the Statewide Planning and Research Cooperative System (SPARCS). The de-identified data, published by health.data.ny.gov, excludes protected health information such as full dates and direct identifiers.
Hospital discharge records detail patient characteristics, diagnoses, treatments, services, and charges. The dataset contains de-identified inpatient data for the year 2014. It is published by the New York State Department of Health via the Statewide Planning and Research Cooperative System (SPARCS).
EyePCR is a benchmark dataset for fine-grained perception, knowledge comprehension, and clinical reasoning in ophthalmic surgery. It is derived from the OphNet large-scale video benchmark and was created by author EvergreenTree, with the dataset last updated in May 2025.
New York State's SPARCS system provides de-identified inpatient discharge records for 2017. The dataset includes patient demographics, diagnoses, procedures, and financial details like Total Charges and Total Costs. It is published by health.data.ny.gov.
The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge-level detail on patient characteristics, diagnoses, treatments, services, and charges for 2019. This de-identified data from health.data.ny.gov includes 29 columns such as Facility Name, Hospital County, Length of Stay, and Total Charges. The data is HIPAA-compliant, with all protected health information redacted.
The dataset contains altered versions of a common riddle, such as the 'surgeon's son' puzzle, to test reasoning. It was created by author 'marcodsn' and last updated on 2025-05-05. The dataset page on Hugging Face provides the full description and context for the riddles.
Intel Labs created a fully synthetic, privacy-safe benchmark dataset for evaluating long-context clinical reasoning. The dataset contains multi-day inpatient trajectories, including labs, vitals, and daily progress notes. It was released in version v1.0 and last updated on May 15, -2025.
The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-Identified dataset contains discharge-level detail on patient characteristics, diagnoses, treatments, services, and charges. This 2012 data is published by health.data.ny.gov and has been de-identified, with direct identifiers like specific dates redacted to comply with HIPAA. The dataset includes 30 columns covering demographics, clinical classifications, payment types, and facility information.
New York State's 2016 de-identified inpatient discharge records detail patient characteristics, treatments, and financials. The Statewide Planning and Research Cooperative System (SPARCS) file contains discharge-level data on diagnoses, services, and charges with protected health information removed. Data includes columns for APR DRG Description, Length of Stay, Total Charges, Facility Name, and Patient Disposition.
2020 data from the Statewide Planning and Research Cooperative System (SPARCS) provides de-identified inpatient discharge records. It includes patient characteristics, diagnoses, procedures, and financial details like Total Charges and Total Costs. The data is published by health.data.ny.gov.
De-identified inpatient discharge records from the New York Statewide Planning and Research Cooperative System (SPARCS) for the year 2021. The dataset contains patient characteristics, diagnoses, treatments, services, and charges, with all protected health information removed. It is provided by health.data.ny.gov and was last updated in April 2025.
The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified dataset contains discharge-level detail on patient characteristics, diagnoses, treatments, services, charges, and costs for the year 2011. This data, provided by health.data.ny.gov, has been de-identified in compliance with HIPAA, with direct identifiers like specific dates redacted. It includes columns for Total Charges, Age Group, Race, Gender, Length of Stay, Facility Name, and clinical codes for diagnoses and procedures.
The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge-level detail on patient characteristics, diagnoses, treatments, services, and charges for 2013. This de-identified data is provided by health.data.ny.gov and does not contain protected health information (PHI). The file includes 30 columns covering demographics, clinical classifications, financials, and facility information.
2018 discharge-level data from the New York Statewide Planning and Research Cooperative System (SPARCS), containing patient characteristics, diagnoses, treatments, and charges. The de-identified file is published by health.data.ny.gov and excludes protected health information (PHI). It was last updated on the platform in April 2025.
The National Hospital Ambulatory Medical Care Survey (NHAMCS) provides nationally representative estimates of emergency department visits. Data from 2016 to 2022 include counts and rates for the 10 leading primary diagnoses and reasons for visit, stratified by patient and hospital characteristics. The National Center for Health Statistics (NCHS) collects this data from nonfederal, general, and short-stay hospitals across all 50 states and the District of Columbia.
Provisional death counts from 2019 through Quarter 1, 2021 for sickle cell disease and COVID-19. The data is disaggregated by quarter, age group, and race or Hispanic origin, and includes columns for underlying and multiple cause-of-death coding. It is hosted on the data.cdc.gov platform via Socrata and was last updated on April 21, 2025.