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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,427 datasets
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.
100,000 records from tech workers include burnout and clinical mental health screening scores from PHQ-9 and GAD-7 instruments. The data covers 12 distinct job roles and is described as research-backed. Three machine learning targets are defined, suggesting suitability for predictive modeling tasks.
Darley Dale sandstone sample tts6, deformed under true triaxial stress, was scanned via X-ray CT at the University of Aberdeen in 2019. The dataset captures the internal structure of a 50 mm cube sample that underwent two distinct deformation tests, producing brittle microcracks. The data was collected by Dr Stewart Chalmers and Dr Dave Healy and is associated with the British Geological Survey.
Digital models define the spatial distribution of porosity and capillary heterogeneity for three carbonate and two sandstone rock cores. The dataset contains experimental X-ray CT data and CMG IMEX modeling files used for a paper under review, following a workflow by Jackson et al. (2018).
A dataset on mental health research, published on Kaggle by an author named Zain. The specific content, scale, and collection methodology are not detailed in the available metadata. Further details such as the time range, row count, and column definitions require verification after accessing the data.
Kaggle hosts a collection of chest X-ray images related to pneumonia. The dataset likely contains images labeled for the presence or absence of pneumonia. Its specific size, source, and collection period are unknown from the provided metadata.
234,000 images of tomato plants, balanced across disease categories, are provided for classification tasks. The dataset is intended for Edge AI applications and each image has a resolution of 256 pixels. The dataset was sourced from Kaggle, but the author, organization, and last update date are unknown.
Verus-specgen-sample is a dataset published on Kaggle. Its title suggests it likely contains data related to generating formal specifications, potentially for software verification. The dataset's specific content, size, and origin require verification after download.
Monthly patient contact data from the City of Austin's Emergency Medical Services, covering incidents with response priorities 1 through 5. The dataset is structured as a time series, updated as of March 2026.
Quarterly data on spending for drugs prescribed to Medicare Part D beneficiaries, including manufacturer and clinical indication information. The dataset provides preliminary spending metrics based on gross drug cost, updated each quarter by the U.S. Department of Health & Human Services. It offers more recent but provisional data compared to the annual Medicare Part D Spending by Drug dataset.
Quarterly data tracks spending for drugs administered in outpatient settings to Medicare Part B enrollees. The dataset includes consumer-friendly descriptions of drug uses, clinical indications, and manufacturers. It provides preliminary spending metrics calculated at the HCPCS code level, updated each quarter.
Kaggle hosts a dataset titled 'Leukemia Cancer Risk - 50K Patients'. The dataset likely contains patient records related to leukemia cancer risk factors. The specific source, collection method, and temporal coverage are not provided in the available metadata.
Telugu Clinical Decision Matrix v1 is a dataset hosted on Kaggle. Its title suggests it contains structured information for clinical decision-making in the Telugu language. The dataset's specific content, size, and provenance are not detailed in the available metadata.
Kaggle hosts a dataset titled 'xray-dataset_filtered', which likely contains medical X-ray images. The specific source, collection method, and temporal coverage are not detailed in the available metadata. The dataset's content and scale require verification after download.
Stroke-related healthcare data published on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Columns likely contain patient attributes and clinical indicators relevant to stroke analysis.
ECGID-RAW-INTER-SESSION-SPLIT is a dataset of electrocardiogram signals, likely intended for machine learning analysis. The data is hosted on Kaggle, but detailed metadata such as the number of records, collection dates, and specific features are not provided in the input. Its title suggests the data may be split across different recording sessions for analysis.