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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,491 datasets
DRIVE is a dataset of digital retinal images published on Kaggle. The collection is intended for vessel extraction tasks, a common benchmark in medical image analysis. The dataset's author, organization, and specific scale are not detailed in the provided metadata.
130 CT scans converted to PNG format for liver and liver tumor segmentation. The dataset is hosted on Kaggle, but the author, organization, and license are unknown. The original source and temporal or geographic scope of the medical scans are not specified.
Multimodal physiological, edge, and network data for smart healthcare analytics. The dataset is hosted on Kaggle, but specific details on volume, creation date, and authorship are not provided in the available metadata.
A cross-national index scores mental health crisis levels for 92 countries. It aggregates 29 indicators covering prevalence, health systems, and crisis factors. The creator and compilation date are not specified.
A dataset by Carlos A. Manjarrez of the Urban Institute, sourced from paperswithcode, examines health and employment outcomes for families in the HOPE VI public housing program. The description indicates poor health is a more significant problem than lack of employment for these families. The specific temporal coverage, row count, and column details are unknown.
Dental X-ray images, likely containing radiographs of teeth and oral structures. The dataset is published on Kaggle, but its exact size, source, and creation date are unknown. Metadata is minimal; the specific content and annotations require verification after download.
A dataset for Parkinson's disease detection, published on Kaggle. The specific data types, collection method, and volume are not detailed in the available metadata. The original author and time range of data collection are unknown.
A dataset for classifying cow diseases, likely containing five distinct diagnostic categories. It is hosted on Kaggle, but the author, organization, and specific collection details are not provided. The data's origin, size, and temporal coverage are unknown.
A collection of pre-trained neural network weights, likely for a U-Net architecture, sourced from the PhysioNet platform. The dataset is hosted on Kaggle, but its specific contents, such as the number of weight files or the medical imaging domain they were trained on, are not detailed in the provided metadata. The original author, creation date, and exact training data are unknown.
The Great Smoky Mountains National Park Rhododendron Monitoring Database is an MS Access database containing in-field health evaluations of Rhododendron maximum. The data was collected by the Department of the Interior at a specific location with a history of rhododendron decline. The dataset was last updated on March 4, 2026.
Sample patient prescription records are available for analysis. The dataset is described as a sample for pharmacy students and basic data analysis. Details on its origin, size, and update frequency are not provided.
Kaggle hosts this dataset for exploring liver health using clinical biomarkers. The dataset contains patient records with various clinical measurements. The original author and specific collection date are unknown.
Synthetic healthcare patient records contain multiple features for machine learning tasks. The dataset is designed for classification, regression, and exploratory data analysis. Its origin and temporal details are unspecified.
PhysioNet UNet Weights is a dataset hosted on Kaggle. The title suggests it contains pre-trained model weights for a UNet architecture, likely intended for medical image segmentation tasks. The dataset's specific content, scale, and origin require verification after download.
LTSTDB_80Patients is a medical dataset published on Kaggle. The title suggests it contains long-term data for 80 patients, but the specific variables, collection period, and originating institution are unknown. The dataset's content and structure require verification after download.
LTSTDB_allPatients is a dataset of patient records, likely containing clinical or longitudinal data. It is hosted on Kaggle, but the author, organization, and specific data characteristics are not provided. The dataset's content, size, and creation date are unknown from the available metadata.
GP Surgeries dataset provides names, addresses, and location coordinates for each doctor's surgery in Calderdale. It is derived from CQC open data and was last updated in March 2026. The dataset includes eastings and northings coordinates for postcode-based geospatial analysis.
5,000 patient records contain over 50 extracted features from electrocardiogram (ECG) and photoplethysmogram (PPG) signals for heart attack detection. The dataset is designed for developing machine learning models to classify myocardial infarction. Its origin and last update date are not specified.
A dataset titled 'Medical 3.0' is hosted on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Columns, sample data, and other descriptive elements are unknown.
A dataset titled '2116-emr' published on Kaggle. The title suggests it contains electronic medical records, but the specific content, size, and origin are unconfirmed. All other metadata, including columns, sample data, and license, is unknown.