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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,448 datasets
A collection of health and safety documents for chemicals manufactured or imported into the United States, submitted to the EPA under the Toxic Substances Control Act. The tool provides full-text and metadata search capabilities, presenting results as downloadable PDFs alongside data from legacy EPA chemical databases. The U.S. Environmental Protection Agency is converting paper submissions into an electronic format for public access.
A healthcare image dataset includes human skin images bitten by mosquitoes. The dataset is hosted on Kaggle, but details on its size, collection date, and creator are unknown.
A database for 221 town centres identified in the adopted London Plan (2016), associated with the 2017 London Town Centre Health Check Analysis Report. The data is provided by the Greater London Authority and includes some further test centres. The dataset was last updated on the platform in March 2026.
Global data on newborn mortality, focusing on deaths within the first 24 hours of life. The dataset, authored by Simon Wright and sourced from paperswithcode, highlights that over one million babies die annually on their first day. It suggests that half of these deaths could be prevented with access to free healthcare and skilled midwives.
Assembled from fillable PDF forms for medical clearance submitted to the NRC Office of Investigations Health and Fitness Program. The forms are submitted by NRC stakeholders, including licensees, applicants, and employees or contractors. Specific data dimensions such as row count and column structure are not provided.
Built from fillable PDF forms for consent to release medical records, submitted by stakeholders of the Nuclear Regulatory Commission. The specific number of forms, rows, or columns is not provided in the input.
Preprocessed ISIC 2019 Skin Lesion Dataset is a collection of dermatological images from the 2019 International Skin Imaging Collaboration challenge. The dataset has been preprocessed, likely for machine learning tasks. Its specific scale, origin, and update details are not provided in the minimal metadata.
Physionet_ch_2015 is a dataset sourced from the PhysioNet platform and published on Kaggle. The title suggests it likely contains clinical or physiological data from the year 2015. The specific content, size, and origin require verification after download.
Health data sourced from the Kaggle platform. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Users must download the dataset to verify its actual structure and suitability for their projects.
A dataset for modeling the risk of major complications from hypertension. The description indicates it is intended for risk modeling of heart disease, stroke, and kidney disease. The author, organization, and specific data volume are unknown.
Survey data from the World Bank's Global Findex database, likely covering multiple years. It focuses on the percentage of the rural population aged 15 and above who have borrowed money specifically for health or medical purposes. The dataset is produced by the World Bank to measure financial inclusion and health-related financial behaviors.
Global Findex database survey data on borrowing for health or medical purposes by the wealthiest 60% of adults aged 15 and over. The dataset likely contains tabular survey results, aggregated by country or region. It originates from the World Bank's Global Findex initiative, a major source for financial inclusion metrics.
Global Findex database provides this indicator on the percentage of adults aged 15 and over in the poorest 40% of the population who have borrowed for health or medical purposes. The data likely originates from a worldwide survey measuring financial inclusion. Its specific temporal and geographic coverage requires verification after download.
Global Findex data on the prevalence of borrowing for health or medical purposes specifically among the adult population aged 25 and older. The dataset is sourced from the World Bank's Global Findex database, which collects indicators on financial inclusion worldwide. The specific temporal coverage, row count, and detailed column structure are not provided in the available metadata.
Global Findex database survey data on the percentage of young people aged 15-24 who have borrowed money specifically for health or medical purposes. The dataset is published by the World Bank and likely contains country-level indicators derived from survey responses. The temporal coverage and specific years are not provided in the available metadata.
A dataset from the World Bank's Global Findex database measuring the percentage of the working-age population (15+) who have borrowed money specifically for health or medical purposes. The data likely contains country-level indicators on financial behavior related to healthcare. The organization listed is the Global Findex database, a primary source for global financial inclusion metrics.
A dataset from the World Bank's Global Findex database measuring the percentage of adults aged 15 and over who borrowed money specifically for health or medical purposes while being out of the labor force. The data likely contains country-level indicators on healthcare financing and economic participation. The organization responsible for the underlying survey is the Global Findex database.
A dataset from the World Bank's Global Findex database measuring the percentage of the urban population aged 15 and over who have borrowed money specifically for health or medical purposes. The data likely contains country-level or regional statistics on financial behavior related to healthcare access. The organization responsible for the data is the Global Findex database.
Health function expenditure (in IDR) is a dataset from the Indonesia Database for Policy and Economic Research, published via the World Bank. It likely contains financial data on health-related spending, measured in Indonesian Rupiah. The specific time range, granularity, and column details are not provided in the metadata.
Worldwide Bureaucracy Indicators data on the public sector wage premium for medical occupations. The dataset likely contains comparative wage metrics for healthcare workers in public versus formal private sector employment. It is published by the World Bank as part of the Worldwide Bureaucracy Indicators.