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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,552 datasets
A dataset for breast cancer diagnostic classification, sourced from Kaggle. The data likely contains features computed from digitized images of breast mass cell nuclei. Metadata is minimal; actual content requires verification after download.
Kaggle hosts a dataset titled 'medical'. The content likely relates to health or clinical topics, but specific details are unavailable. The dataset's author, size, and update history are unknown.
Smart composite lining data likely contains sensor readings and material performance metrics for self-healing materials. The dataset originates from Kaggle and is categorized under Research. Specific details on volume, authorship, and update frequency are unavailable.
Google Trends analysis of mental health in Spain from 2004 to 2025. The dataset likely contains search query volume data over time. It was created by an unknown author and is hosted on Kaggle.
Kaggle hosts an AI-enhanced interactive virtual clinical reasoning training system. The dataset is associated with tags including Data Visualization, Object Detection, and Pose Detection. Specific details on data volume, structure, and origin are not provided.
Datos.gov.co provides a dataset of patient diagnosis relationships from hospital appointments and admissions. It lists instances where a patient received a different diagnostic code across visits. The dataset was last updated in December 2025.
Kaggle hosts a dataset on hospital and ICU admission rates and occupancy for COVID-19. The dataset likely contains metrics related to patient flow and resource utilization during the pandemic. Its specific source, size, and temporal coverage are unknown.
Areas and sites with shortage of primary care, dental, or mental health providers. The dataset is hosted on Kaggle and is tagged for the United States, health, and public safety. Specific details on size, source, and update frequency are not provided.
A dataset of human genomic variants for binary classification of pathogenicity. It is tagged for bioinformatics, human genetics, and healthcare applications. The specific row count, column structure, and source are unknown.
Synthetic Health Indicators Dataset is a logic-based, almost realistic fitness dataset. It is tagged for intermediate-level data analytics and is structured in a tabular format.
100,000 patient records include data on 15 medical conditions, ICD-10 codes, lab results, medications, and 30-day readmission status. The dataset is tagged with specific medical domains including Covid19 and Cancer. It is described as synthetic data.
Giving access to code sets for epidemiology research on second-line therapy medications in diabetes. It was authored by Emma Hegermiller and is hosted by Harvard Dataverse.
Multi-Modal Breast Cancer Dataset integrates image, clinical, and molecular biology data for oncology analysis. The dataset's specific scale, including row and column counts, is not provided in the input. It is tagged with categories including Image, Oncology, Breast cancer, and Molecular Biology.
Aggregating retinal fundus images annotated for vessel and lesion segmentation tasks. It is intended for computer vision applications in ophthalmology, specifically for segmenting anatomical structures and pathological signs.
This dataset contains Medicare hospital spending claims for identifying cost drivers and inefficiencies. It is intended for healthcare cost analysis and data storytelling. The row count, column details, and specific time period are not provided.
UNET Lung Segmentation Weights for Chest X Rays provides a pre-trained neural network model for generating lung masks from chest X-ray images. The model is built using TensorFlow and Keras frameworks, focusing on transfer learning for classification tasks. Its origin and specific dataset size are not documented.
Preprocessed retinal images for multiclass classification of diabetic retinopathy. It aggregates images from the Aptos and Messidor sources, focusing on a key medical diagnosis task in ophthalmology.
National Ambulatory Medical Care Survey data from 1980 and 1981, focusing on office-based care for patients aged 75 years and older. The dataset was published by Hugo Koch on the paperswithcode platform. Its specific contents, such as patient demographics, diagnoses, or treatments, are not detailed in the available metadata.
An international comparative study on doctor-patient communication in general practice settings. The research was conducted across six European countries and authored by A. van den Brink-Muinen. The dataset likely contains survey or observational data related to communication patterns and outcomes.
Laura M. Maruschak authored this dataset on inmate health conditions for the year 1997. The data likely contains records of medical issues within correctional facilities. Its specific content and scale require verification after download.