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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,201 datasets
Grayscale retinal fundus images, a type of medical imaging used in ophthalmology. The dataset is hosted on Kaggle, but its specific collection method, size, and origin are not detailed in the provided metadata. Further details such as the number of images, patient demographics, and collection dates require verification after accessing the dataset.
Kaggle hosts a database of electrocardiogram readings. The dataset's title indicates it contains a large volume of 12-lead ECG tracings. Specific details on the number of records, collection period, and originating institution are not provided in the available metadata.
A subset of 10,000 records from the MIMIC-CXR dataset, which is a large publicly available database of chest radiographs. The data is hosted on Kaggle and is likely provided in a CSV format for easier access and analysis. The specific source and time range of this subset are not detailed in the provided metadata.
A dataset linking Traditional Chinese Medicine (TCM) concepts with diseases. The data is hosted on Kaggle, but specific details like row count, column definitions, and creation date are not provided in the metadata. Its content likely includes TCM diagnoses, herbs, or symptoms associated with various medical conditions.
Aggregating Minimum Data Set (MDS) assessments summarizing health status indicators for active residents in Medicare and Medicaid certified nursing homes. The data is federally mandated and provides a standardized clinical assessment of residents' functional capabilities and health problems. It is used to formulate individual care plans through Care Area Assessments (CAAs).
A source of use and payment data for all Medicare outpatient facilities, including hospitals, rural health clinics, and mental health centers. It is published by the U.S. Centers for Medicare and Medicaid Services and includes tables segmented by beneficiary entitlement type, demographic characteristics, area of residence, and facility type.
Delivering use and payment data for all Medicare outpatient facilities, including hospitals, rural health clinics, and mental health centers. It is published by the U.S. Centers for Medicare and Medicaid Services and includes tables segmented by beneficiary entitlement type, demographic characteristics, area of residence, and facility type.
Locations and core information for Fire Stations and Emergency Medical Service (EMS) Stations across the United States, collected by the U.S. Geological Survey. The data is designed for disaster planning, emergency response, and general mapping, and was refreshed in January 2025.
Data on initial injury-related visits to U.S. hospital emergency departments, categorized by patient sex, age, and the intent and mechanism of injury. The data is sourced from the National Hospital Ambulatory Medical Care Survey and includes revised estimates for 2017–2018. A coding standard change in 2015 prevents direct comparison of data from 2017 onward with earlier years.
A collection of data on initial injury-related visits to U.S. hospital emergency departments, categorized by patient sex, age, and the intent and mechanism of injury. The data is sourced from the National Hospital Ambulatory Medical Care Survey and includes revised estimates for 2017–2018. A coding standard change in 2015 prevents direct comparison of data from 2017 onward with earlier years.
A dataset for predicting smoking status based on Korean national health checkup data. The dataset likely contains health checkup records from participants in Korea. The author, organization, and specific collection details are unknown.
Opt Out Affidavits list healthcare providers who have chosen not to participate in Medicare. The dataset includes provider NPI numbers, specialties, addresses, and effective dates of their opt-out decisions. It is maintained by the U.S. Department of Health & Human Services.
National Medical Contractors Case Tracking system stores information to assist in identifying, tracking, and reporting workloads carried out by Regional Medical Contractors (RMCs). The Social Security Administration provides this data, which is intended to capture critical information for management reports and workload projections. The dataset was last updated on April 3, 2026.
Qualitative data mapping the care pathway for adolescent idiopathic scoliosis (AIS) based on input from 101 participants including clinicians, patients, and parents. Collected by Thomay Hoelen and published via DataverseNL, the study identifies 13 distinct themes across clinical and patient perspectives. The data was gathered through brown paper sessions, focus groups, and semi-structured interviews.
A collection of image patches derived from Whole Slide Images (WSI) of lung tissue. The dataset is hosted on Kaggle, but its author, size, and creation date are unknown. The title suggests it is the third version of a series focused on lung histopathology.
Drug-Classification is a dataset from OpenML for predicting drug types based on patient attributes. The dataset includes features such as Age, Sex, Blood Pressure Levels, Cholesterol Levels, and the Sodium to Potassium Ratio. It is released under a CC0 1.0 license.
A synthetic dataset of electronic health records generated by the Synthea patient simulation tool. The dataset is published on Kaggle, but its specific size, temporal coverage, and authorship details are not provided in the available metadata. It likely contains simulated patient records for research and development purposes.
RareArena contains diagnostic data for approximately 50,000 patients across more than 4,000 rare diseases, developed by THUMedInfo and last updated in early 2026. The dataset is derived from the PMC-Patients corpus of clinical case reports and utilizes GPT-4o for the extraction of ground-truth diagnoses.
Seventy Klebsiella pneumoniae isolates from rectal swabs were collected at an intensive care unit in Rio de Janeiro, Brazil, from March 2013 to March 2014. The dataset, described in a paper by Claudia Flores, includes antimicrobial susceptibility results and the presence of nine specific resistance genes. It reveals high resistance rates to several antibiotics and a high degree of genetic diversity among the isolates.
Brazilian National Health Survey data from 2013 provides prevalence estimates for arterial hypertension in adults based on three diagnostic criteria: self-reported, measured by instrument, and measured or medication use. The dataset includes 60,202 individuals and presents prevalence rates with 95% confidence intervals, broken down by gender, age, urban/rural status, and geographic region. The study was authored by Déborah Carvalho Malta.