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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,199 datasets
A combined dataset captures the micro-scale mechanisms and acoustic response during shear failure of Clashach sandstone. It includes a time-series of 3D synchrotron x-ray microtomography volumes, local 3D strain fields, acoustic emissions waveforms, and ultrasonic velocity surveys. The data were acquired in-situ at the Diamond Light Source in September 2019.
Patient data sourced from the Kaggle platform. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Users must download the dataset to inspect its actual structure and records.
A dataset on Kaggle concerning heart disease, likely sourced from Internet of Medical Things devices. The specific number of records, features, and temporal coverage are unknown. The dataset's creator and organization are not specified.
Hospital Enrollments contains enrollment information for all hospitals currently participating in Medicare. The dataset includes details on sub-group type, legal business name, doing business as name, organization type, and address. It is maintained by the U.S. Department of Health & Human Services and was last updated in March 2026.
12,744 indexed records of hand-extracted diagnostic character comparisons between fungal species sourced from thousands of taxonomy papers. The Japanese-language dataset identifies specific morphological traits that distinguish or unite different fungal taxa based on expert manual extraction from the Daikinrin website. Each entry focuses on the 'common' and 'different' diagnostic characters used in formal fungal classification.
A geospatial dataset representing the development plan 'Sontheimer Landwehr 10 - 14' for the city of Heilbronn, Germany. The data is provided via a Web Feature Service (WFS) conforming to the XPlanung 5.4 standard. It is published by the Bundesamt für Kartographie und Geodäsie and was last updated on March 3, 2026.
A WFS service provides the urban development plan for the 'Sontheimer Landwehr 10 - 14' area in the city of Heilbronn. The data is transformed according to the INSPIRE directive and based on an XPlanung dataset in version 5.4. The dataset is provided by the Bundesamt für Kartographie und Geodäsie and was last updated on March 3, 2026.
A dataset for assigning ICD-10 codes to Greek hospital discharge letters. It appears to be part of the BioASQ 2026 challenge, focusing on clinical text and medical NLP. The specific source, size, and time range of the data are not provided.
PSMA-PETCT-Patient-Slicer-Python-2026 is a dataset or tool related to medical imaging, specifically for Prostate-Specific Membrane Antigen (PSMA) Positron Emission Tomography/Computed Tomography (PET/CT) scans. It is hosted on the Kaggle platform. The title suggests it likely contains code or data for slicing patient imaging data, but the exact content and scale are unconfirmed.
A collection of chest X-ray images focused on pleural effusion, derived from the MIMIC-CXR database. The dataset is hosted on Kaggle, though its exact size and creation details are unspecified. It likely contains images resized to a uniform 512-pixel resolution for machine learning applications.
Hpa10M contains 10,495,672 immunohistochemistry (IHC) images derived from the Human Protein Atlas (HPA) by nirschl-lab, updated in February 2026. The collection is split into 7,970,595 pathology images and 2,525,077 tissue images, primarily intended for large-scale medical computer vision research.
Dental X-ray images, likely intended for medical or machine learning analysis. The dataset is hosted on Kaggle, but its specific scale, collection method, and origin are not detailed in the available metadata. Further details about the number of images, annotation level, and collection period require verification after accessing the dataset.
Dental_Xray_Updated is a dataset of dental X-ray images published on Kaggle. The dataset's size, specific contents, and creation details are not provided in the available metadata. Its last update date and author information are unknown.
A case study analysis of lean healthcare implementation processes in three pioneering Brazilian hospitals. Data was gathered through interviews, document analysis, and observation. The study provides guidelines for applying lean principles and techniques to hospital operations.
A collection of R tools for data diagnosis, exploration, and transformation created by Choonghyun Ryu. The package provides automated reports and visualizations for tasks like missing value detection, outlier identification, normality testing, and variable correlation analysis. It supports binning, imputation, and skewness resolution for data transformation.
A cleaned dataset concerning cardiovascular disease, sourced from Kaggle. The specific number of records and features is unknown. The data has been processed for analysis, but the original author and collection timeframe are not specified.
A dataset of images related to coffee leaf diseases, published on Kaggle. The collection likely contains visual examples of various plant health conditions affecting coffee crops. Metadata is minimal; actual content requires verification after download.
A dataset titled 'medical chatbot' sourced from Kaggle. The dataset likely contains conversational text data for training or evaluating medical dialogue systems. Specific details on volume, origin, and collection methodology are unavailable from the provided metadata.
Two methods, heuristic evaluation and extended hierarchical task analysis (EHTA), were applied to evaluate and predict patient safety for several infusion pumps. The research was conducted by Jiajie Zhang of The University of Texas Health Science Center at Houston. The dataset likely contains results from these evaluations, including identified usability problems, error severities, and predicted error likelihoods.
Clinical trial data from a study on combining focal radiation therapy with anti-CTLA-4 immunotherapy for chemo-refractory metastatic non-small-cell lung cancer. The study, authored by S. Formenti, reports objective responses in 18% of enrolled patients and disease control in 31%. It includes predictors like serum interferon-β levels and dynamic changes in blood T cell clones.