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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,591 datasets
Kaggle hosts the Rice Leafs Disease Dataset, a collection of images depicting diseased and healthy rice leaves. The dataset is intended for computer vision tasks in agricultural and plant health monitoring. Specific details on the number of images, creator, and update date are not provided.
Serving as used for breast cancer classification. It is tagged for use in Education and People And Society contexts. No row count, column details, or specific features are provided.
Designed for binary classification of heart attack possibility. It is tagged for use with logistic regression and other classification algorithms. The specific number of rows, columns, and data features are not provided in the input.
Aggregating MRI images categorized into four distinct classes for brain tumor identification. It provides a structured collection of medical scans designed for training and evaluating multiclass classification models in the neuro-oncology domain.
Featuring records for predicting patient appointment no-shows at a private clinic. It is tagged for classification, health, business, and time series analysis tasks.
Ultralytics brain tumor detection dataset contains medical images from MRI or CT scans. The dataset, created by ICPCartem and updated in December 2025, provides annotations for tumor presence, location, and characteristics to train computer vision algorithms.
A survey dataset from Harvard Dataverse explores public awareness and acceptance of precision medicine. Authored by Jisha Lucca, the dataset was last updated in January 2026. Specific details on the number of respondents (rows) and survey questions (columns) are not provided in the input.
California hospitals report annual counts of methicillin-resistant Staphylococcus aureus bloodstream infections to the state's Department of Public Health. The data includes observed and predicted infection numbers, which are used to calculate a Standardized Infection Ratio for tracking prevention progress against national baselines. Each hospital's performance is assessed with associated 95% confidence intervals and statistical interpretations.
1 disease category focusing on Lyme disease classified as an autoimmune condition. The data centers on the pathological classification of the disease within the autoimmune domain.
CADS is a dataset of 22,022 Computed Tomography (CT) volumes with complete annotations for 167 anatomical structures, spanning from head to knee. It was created by huggingface as a framework for whole-body anatomical segmentation in medical imaging.
ECGdata is a dataset of electrocardiogram signals, likely containing time-series recordings of heart electrical activity. It was published on Kaggle, but details on its size, origin, and creation date are not provided. The dataset's specific collection methodology and temporal scope are unknown.
Kaggle hosts a dataset focused on dermatology. The dataset likely contains images or clinical records related to skin conditions. Metadata is minimal; actual content and scale require verification after download.
A dataset of chest X-ray images published on HuggingFace by medicaldatahf. The dataset, titled 'Chest Xray Reasoning V3', was last updated on January 21, 2026. Its specific content, scale, and annotation details require verification after download.
Diagnosis data, likely containing patient or condition information, is hosted on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Users must download the dataset to verify its structure and suitability for their tasks.
Harvard Dataverse hosts data compiled by Liza Suraiya for a meta-analysis evaluating vision training efficacy for myopia and presbyopia. The dataset's specific structure, including row and column counts, is not detailed in the provided input. It was last updated in January 2026.
New_Diagnostics is a dataset published on Kaggle. The dataset's title suggests it relates to medical or clinical diagnostic information. Specific details regarding its size, origin, and content are not provided in the available metadata.
Medical data published on Kaggle. The dataset likely contains information related to healthcare or clinical topics. Metadata is minimal; actual content requires verification after download.
An electrocardiogram (ECG) dataset published on Kaggle. The dataset likely contains time-series signal data representing cardiac electrical activity. Specific details on size, source, and collection period are not provided in the metadata.
Kaggle hosts a dataset titled 'Healthcare dataset'. The dataset's specific content, size, and origin are not detailed in the provided metadata. Further verification is required to determine its exact scope and composition.
Kaggle hosts a dataset titled 'Fundus', which likely contains retinal fundus images. The dataset's size, source, and specific contents are not detailed in the provided metadata. Further verification is required to confirm the number of images, collection methods, and licensing.