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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,178 datasets
Follow-up data for breast cancer cases seen by Dr. Wolberg since 1984, featuring only invasive cases without distant metastases at diagnosis. The dataset includes 30 features computed from digitized images of fine needle aspirates, describing characteristics of cell nuclei. It was created by researchers at the University of Wisconsin, including Dr. William H. Wolberg, W. Nick Street, and Olvi L. Mangasarian.
Comprising surveillance data on over 100,000 estimated cases of nonfatal firearm and BB/pellet gun injuries treated in U.S. hospital emergency departments in 2023. It was collected via the National Electronic Injury Surveillance System (NEISS) by the CDC's National Center for Injury Prevention and Control. The data are designed to provide national incidence estimates and monitor injury trends over time.
A collection of over 100,000 estimated annual cases of nonfatal firearm-related injuries treated in U.S. hospital emergency departments. It was collected via the National Electronic Injury Surveillance System (NEISS) by the CDC's National Center for Injury Prevention and Control. The data includes variables such as age, sex, diagnosis, injury intent, and disposition at discharge.
DREAMT (Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology) is a restricted health dataset hosted on PhysioNet. It is designed for developing machine learning models to estimate sleep stages using data from wearable devices. The dataset was last updated on the platform in March 2026.
Approximately 18,800 nonprofit health organizations are represented in this financial summary. The data includes revenue, expenses, and top executive compensation figures, likely sourced from IRS Form 990 filings. The specific time period, author, and original collection method are not detailed in the provided metadata.
Med-Banana-50K is a dataset of 50,000 images for instruction-based medical image editing. It spans three imaging modalities (Chest X-ray, Brain MRI, Fundus Photography) and 23 disease types, with edits generated from real images using the Gemini-2.5-Flash-Image model. The dataset was created by RichardChenZH and was last updated on March 12, 2026.
A synthetic dataset designed for machine learning applications in healthcare. It is intended for health risk analysis, specifically for predicting heart disease. The data was sourced from Kaggle, but specific authorship and creation details are not provided.
A collection of dermatoscopic images of skin lesions, likely containing 10,000 samples based on the title. The dataset includes both original images and corresponding segmentation masks, suggesting use for computer vision tasks in medical diagnostics. It is published on the Kaggle platform.
Bangalore Hospital Gap Analysis likely contains data for assessing healthcare infrastructure in a major Indian city. The dataset is hosted on Kaggle, but its specific contents, size, and creation details are not provided. Users must inspect the data after download to confirm its structure and coverage.
Hospital infrastructure data for the city of Bangalore. The dataset is published on Kaggle, but its specific contents, size, and creation details are not described. Further verification after download is required to confirm its scope and quality.
A clinical trial dataset contains information on 520 participants aged 60 years or older from two outpatient HIV care sites in Kenya. It includes demographic details, antiretroviral history, body mass index, and baseline and follow-up laboratory investigations. The data was collected by the BFTAF Study for research on first-line treatment switches.
Cow Disease Dataset 200 is a dataset concerning bovine health, published on Kaggle. The dataset likely contains information related to disease cases or health indicators in cattle. Its specific content, scale, and origin require verification after download due to minimal metadata.
A collection of medical images categorized into 35 skin disease classes. The dataset is hosted on Kaggle, but its specific size, origin, and creation date are not provided. Columns and sample data are unknown.
Hospital inpatient discharge data calculates observed and expected rates for adult ambulatory care-sensitive conditions across New York State counties. The dataset contains Prevention Quality Indicator (PQI) metrics beginning in 2009. Rates were calculated by health.data.ny.gov using SPARCS inpatient data and Claritas population information.
583 patient records collected from North East Andhra Pradesh, India, for liver disease prediction. The dataset includes 416 liver patient records and 167 non liver patient records, with 441 male and 142 female entries. It was downloaded from the UCI ML Repository and preprocessed by filling missing values with column averages.
Kaggle hosts a realistic, machine-learning-ready dataset capturing the impact of work-from-home lifestyle. The dataset's author, organization, and specific size are unknown. Its last update date is also unknown.
An image dataset for classifying diseases in tomato plants. The dataset is hosted on Kaggle and appears to be associated with a model named MAF-NET. Specific details on the number of images, collection method, and authorship are not provided in the available metadata.
X-Ray Dataset is a collection of medical images published on Kaggle. The dataset's specific content, size, and origin are not detailed in the available metadata. Further verification after download is required to confirm the number of images, patient demographics, and clinical annotations.
A field experiment in Zambia examines whether higher prices can stimulate the use of a home water purification solution. The study, authored by Nava Ashraf of Harvard University, develops a methodology to separate screening effects from psychological sunk-cost effects. It finds that higher prices screen out low-use households but finds no consistent evidence for sunk-cost effects.
Kaggle hosts a dataset titled 'medical pills dataset'. The dataset likely contains information about pharmaceutical drugs. Metadata such as column descriptions, size, and license are currently unknown.