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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,559 datasets
150,000 employee records intended for burnout prediction and mental health analysis. The dataset is hosted on Kaggle and includes platform tags indicating it may be synthetic. The author, organization, and last update date are unknown.
Realistic synthetic records of hospital call-center interactions. The dataset is hosted on Kaggle and is tagged for Artificial Intelligence and Classification tasks. Author, organization, and specific data volume are not provided.
A synthetic dataset of daily health and activity metrics, likely generated for simulation or modeling purposes. The dataset is hosted on Kaggle and is associated with platform tags for data visualization, exploratory data analysis, and time series analysis. Specific details on volume, authorship, and recency are not provided.
Kaggle hosts a dataset for exploring hospital trends, patient care, and system performance across Pakistan. The dataset's specific size, source, and update history are not detailed in the provided metadata. It is intended for analysis of healthcare operations and outcomes within the country.
An analytical study of patient data, diagnosis patterns, and treatment insights. The dataset is hosted on Kaggle and is tagged for data visualization and classification tasks. Author, license, and specific data volume are unknown.
A synthetic dataset for predicting patient readmission risk in an Indian hospital context. The dataset is hosted on Kaggle and focuses on healthcare outcomes, likely for patients with conditions such as diabetes. The author, organization, and specific temporal coverage are unknown.
Harvard Dataverse hosts a dataset by Sharvari Mande providing underlying data and calculated estimates for gender disparities in surgical sterilization uptake in India during 2019-20. It includes estimates of cost savings from achieving equity in this area.
A draft version of a dermatology dataset, published on Kaggle. The dataset likely contains images related to skin conditions, as suggested by its title. Specific details on the number of images, collection method, and licensing are not provided in the available metadata.
KFF's January 2026 Health Tracking Poll measures public trust in health information sources and related perceptions. The survey, conducted by the Kaiser Family Foundation, provides timely data on public opinion for health policy analysis. Poll results were harvested and published in the Roper Dataverse in February 2026.
Statewide counts of inpatient hospitalizations and emergency department visits for patients with behavioral health disorders in California. The data is stratified by age group, race/ethnicity, sex, and funding source, as provided by the State of California's Department of Health Care Access and Information. The dataset was last updated in January 2026.
PANDA-PLUS-Bench is a benchmark dataset for evaluating feature collapse in pathology foundation models. It contains expert-annotated prostate biopsy image patches from 9 whole slide images representing 9 unique patients, with pixel-level Gleason pattern annotations. The dataset was created by author dellacorte and last updated on December 16, 2025.
Tarifas Particulares - Hospital Pedro León Alvarez de la Mesa lists service-specific pricing for a Colombian hospital. The dataset is published on the Socrata platform by datos.gov.co and was last updated in December 2025. Its columns suggest it contains yearly tariff information for various medical services.
A dataset concerning patient appointment attendance at hospitals in Nepal. The dataset is hosted on Kaggle, but its specific temporal coverage, size, and collection methodology are not detailed in the provided metadata. Further verification is required to confirm the exact scope and content.
Mango fruit disease dataset is a collection of images hosted on Kaggle. The dataset likely contains visual examples of mangoes affected by various diseases for machine learning applications. Its specific size, collection method, and authorship details are not provided in the available metadata.
Leaf disease detection images likely intended for training and evaluating computer vision models. The dataset is hosted on Kaggle and is tagged within the Healthcare domain, suggesting a potential link to agricultural health or plant pathology. Specific details on volume, source, and creation date are not provided in the available metadata.
Heart Disease Prediction dataset published on Kaggle. The dataset likely contains clinical and demographic features for predicting cardiovascular outcomes. Specific details on size, features, and origin are not provided in the metadata.
Kaggle hosts a dataset for mental health risk prediction, focusing on anxiety, depression, lifestyle, and social factors. The dataset's size, row count, and specific authorship details are not provided. The last update date is unknown.
Patient health and lifestyle dataset for liver disease detection. The dataset's size, author, and update history are not specified.
Annotations structure patient records for procedures, tests, and vitals. The dataset is sourced from Kaggle and is tagged for natural language processing and health analytics. The author, organization, and update history are not specified.
768 clinical records of female patients of Pima Indian heritage featuring 8 diagnostic predictors and a binary outcome. The data includes physiological measurements such as glucose concentration, blood pressure, and body mass index to identify the presence of diabetes.