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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,426 datasets
Mental health data published on Kaggle. The dataset's title suggests it may contain survey or assessment information related to psychological well-being. Specific details on its size, origin, and collection date are not provided in the available metadata.
Hospital patient records, likely containing tabular data. The dataset is published on Kaggle, but specific details such as row count, column definitions, and creation date are not provided. Further verification is required to confirm the exact content and scope.
nigeria_nursing_mothers_healthcare.csv is a dataset from Kaggle focusing on maternal and child health in Nigeria. The dataset likely contains information related to healthcare access, practices, or outcomes for nursing mothers. Its specific contents, scale, and provenance require verification after download due to minimal metadata.
Medical Cost Personal Dataset is a tabular dataset hosted on Kaggle. Its title and platform tags suggest it contains information related to personal medical expenditures and insurance pricing. The dataset's specific content, size, and provenance are not detailed in the available metadata.
A highly realistic synthetic fact table designed for real-time dashboarding and tracking accounts receivable and payable. The dataset's author, organization, and specific scale are unknown. Its last update date and license are also unspecified.
DatasetECG is a medical dataset published on Kaggle. The title suggests it contains electrocardiogram (ECG) recordings, which are time-series signals measuring the electrical activity of the heart. Specific details on size, source, and collection period are unavailable from the provided metadata.
A dataset intended for practicing exploratory data analysis and data cleaning techniques for machine learning projects. The dataset's origin, size, and specific content are not detailed in the provided metadata. Its primary purpose is educational, focusing on foundational data preparation skills.
USGS Structures from The National Map provides names, functions, and locations for selected manmade facilities across all U.S. states and territories. The dataset includes 29 specific structure types, such as schools, hospitals, and government buildings, designed for disaster planning and emergency response. It is maintained by the Department of the Interior and is commonly combined with other geospatial themes for mapping.
Synthetic data generation addresses privacy concerns in sensitive mental health research. This dataset provides artificial records representing mental health conditions in the Bangla language. It was sourced from Kaggle, but details on its creator, size, and update history are not provided.
Clinical results from two prospective, randomized, controlled studies at the University of Zurich document neurologic improvement and tumor shrinkage in dogs with intracranial neoplasia. Collected by Carla Rohrer Bley, the data tracks treatment responses across all breeds and ages following radiotherapy for primary brain tumors. The dataset was last updated in March 2026.
British Geological Survey provides a core scanning dataset from the BHA-101 drill core at the Ince Marshes site in Cheshire, UK. The dataset contains high-resolution optical and radiographic images, X-ray fluorescence (XRF), and physical property measurements for the core interval from 71.12 m to 121.1 m depth within the Sherwood Sandstone Group.
UKGEOS Cheshire TH0424 Initial Core Scanning Dataset contains X-ray radiographic images and geophysical property data from a 100-meter borehole core. The British Geological Survey generated the dataset using a Geotek RXCT scanner and multi-sensor core logger on the Sherwood Sandstone Group.
World Bank data from the International Comparison Program 2005 provides metrics on household health expenditure. The dataset, identified by code 110600, facilitates cross-country analysis of healthcare spending. It was compiled by the International Comparison Program (ICP) as part of a global economic benchmarking initiative.
Clinical monitoring data for oncology patients from a multi-center biological study conducted between 2013 and 2016. The dataset likely contains patient records from multiple Algerian healthcare centers. The original source and specific collection methodology are not detailed in the provided metadata.
A dataset titled 'Disease' sourced from the Kaggle platform. The dataset's specific content, size, and origin are not detailed in the provided metadata. Further details such as the number of records, specific disease focus, and collection methodology require verification after accessing the data.
State of California data details hospital-reported cases of vancomycin-resistant enterococci (VRE) bloodstream infections. The dataset includes hospital-onset VRE BSI rates, calculated per 10,000 patient days, and is stratified by hospital type and bed size. Data is published annually by the California Department of Public Health for public reporting on healthcare-associated infection prevention.
Synthetic Healthcare Case-Based Dataset is a structured, multi-collection dataset containing realistic patient cases. The dataset is hosted on Kaggle, but details on its author, organization, size, and specific creation date are unknown. Its description indicates it is structured and contains multiple collections of healthcare data.
Fundus images related to diabetic retinopathy and other retinal diseases. The dataset is hosted on Kaggle, but details about its size, collection method, and origin are not provided in the metadata. Further verification is required to confirm the exact number of images, their annotations, and the collection timeframe.
ECG_PREPROCESSING4 is a dataset related to electrocardiogram signal preprocessing, sourced from Kaggle. The dataset's specific content, scale, and origin are not detailed in the available metadata. Its platform tags suggest a focus on medical signal processing and time-series analysis.
Brecaresia is a dataset for Vision Motion AI applied to breast cancer patient physical examinations. The dataset's specific size, collection method, and authorship are not detailed in the available metadata. Its last update date and licensing terms are also unknown.