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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,502 datasets
ECG_Dataset is a collection of electrocardiogram data hosted on Kaggle. The dataset likely contains time-series recordings of heart electrical activity. Its specific size, source, and collection period are unknown from the provided metadata.
Two MATLAB scripts provide semi-automated analysis methods for retinal imaging studies. The first measures retinal ganglion cell layer and whole retina thickness via user-guided ROI selection and intensity-profile landmarking. The second quantifies pixel intensity variability in the adult zebrafish lens core by calculating standard deviation and full width at half maximum.
Featuring temperature-dependent x-ray diffraction text files for the NdPt2Si2 and PrPt2Si2 systems. The data was collected at Argonne National Laboratory and the analysis is complete for publication.
Kaggle hosts a dataset focused on mental health and psychological disorders. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Potential applications include analysis of mental health conditions, though the exact variables and data collection methods require verification after download.
ODIR-5K is a collection of medical images for the recognition of ocular diseases. The dataset is hosted on Kaggle, but details on its size, specific contents, and creation are not provided in the available metadata. Its title suggests it contains around 5,000 images intended for intelligent recognition tasks in ophthalmology.
One thousand patient records from the Mayo Clinic experience with primary myelofibrosis, a rare bone marrow cancer. The data was discussed by Dr. Ayalew Tefferi in a January 2012 article in Mayo Clinic Proceedings. It provides context for the design and interpretation of clinical trials for this condition.
Tableone is a tool for creating 'Table 1', the baseline patient characteristics summary essential in medical research. It supports continuous and categorical variables, p-values, and standardized mean differences. The tool was created by Kazuki Yoshida and integrates with the 'survey' package for weighted data analysis.
A synthetic healthcare dataset designed for billing analysis and fraud detection. The dataset was published on Kaggle, but the author, organization, and creation date are unknown. Specific details on the number of rows, columns, and file formats are not provided in the metadata.
A dataset of radiology images hosted on the Kaggle platform. The specific contents, size, and origin are not detailed in the provided metadata. Users must download the dataset to inspect the actual image types, annotations, and scope.
Rivers-State-Nigeria-Healthcare-Gap-Dataset provides granular public health indicators for Rivers State, Nigeria. It aims to fill critical gaps in health data. The author, organization, and specific data volume are unknown.
Granular public health indicators for Rivers State, Nigeria, designed to identify critical healthcare gaps. The dataset's specific volume, creator, and recency are not provided in the input. It originates from the Kaggle platform.
1,807 medical conditions are paired with structured symptom lists. The dataset provides a mapping between diseases and their clinical presentations. Author, organization, and update details are unknown.
1,807 medical conditions are paired with structured symptom lists. The dataset provides a mapping between diseases and their clinical presentations. Author and last update information is not available.
Fertility Health Dataset contains couple-level indicators related to reproductive health. The dataset's specific size, creator, and temporal coverage are not provided.
Fertility health indicators measured at the couple level. The dataset's size, creator, and update date are unknown. It originates from the Kaggle platform.
Images of tomato leaves, likely for computer vision applications in agriculture. The dataset is hosted on Kaggle and includes platform tags for image, leaf, and plant disease. The specific number of images, collection method, and author are not provided in the available metadata.
Aggregating information on community pharmacies in Ontario, Canada. Data was collected from various sources between 2021 and 2025 by author Olexiy Pukhov. The specific number of rows and columns is not provided.
Medical data published on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Users must download the dataset to inspect its actual records, features, and potential applications.
A dataset concerning heart disease, sourced from the Kaggle platform. The dataset's specific content, size, and provenance are not detailed in the provided metadata. Users must download and inspect the data to verify its scope and suitability for their tasks.
Kaggle hosts the Face Skin Disease Dataset 2.0, a collection of images related to dermatological conditions. The dataset likely contains facial images for analysis, though specific details on volume, creation, and update frequency are not provided in the metadata. Its intended use appears to be for computer vision applications in medical diagnostics.