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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,446 datasets
A dataset from the paperswithcode platform concerning mental health care transformation. The dataset's content likely relates to policy, economics, and clinical practices in mental health. Specifics on volume, authorship, and temporal coverage are not provided in the metadata.
Australian public health guidelines concerning alcohol consumption. The dataset likely contains information on recommended limits, associated health risks, and potential benefits. It is published on the paperswithcode platform, but the original author, organization, and update date are unknown.
A collection of research materials on psychosocial health needs in cancer care, aggregated from the paperswithcode platform. The dataset's specific contents, scale, and authorship require verification after download. Its license is listed as closed, indicating potential restrictions on use.
2011 data from the U.S. government's annual report on national health trends. The dataset likely contains tabular statistics on population health, with a special focus on the relationship between socioeconomic status and health outcomes. It is published on the paperswithcode platform.
A Guide to the Development, Implementation and Evaluation of Clinical Practice Guidelines is a dataset from the paperswithcode platform. The platform tags suggest it relates to computer science, family medicine, and medical physics. The dataset's specific content, size, and structure are not detailed in the available metadata.
Kaggle hosts a tabular dataset focused on diabetes, as indicated by its title and platform tags. The dataset is intended for exploratory data analysis and clinical modeling, with associated tags suggesting use for logistic regression. No information is available regarding its size, origin, or update date.
Aggregating information about hospital patients. The specific number of records, features, and data collection details are not provided.
Kaggle provides a tabular dataset of medical prescriptions, categorized under health and pharmaceutical topics. The dataset's specific size, origin, and temporal coverage are not detailed in the provided metadata. It is intended for analysis of prescription patterns and related clinical data.
Featuring chest X-ray images collected from Hospital San Juan in Spain. The specific number of images, file formats, and associated metadata are not provided in the input.
A collection of images depicting potato leaves for disease identification. The dataset is sourced from Kaggle and categorized under Biology. Specific details on volume, creation date, and author are not provided.
Featuring medical data intended for predicting heart disease. The specific number of rows, columns, and features is not provided in the input.
A collection of information related to prostate cancer. No details on the number of rows, columns, or specific features are available from the input.
Fundus images of the eye retina are compiled for diagnosing multiple conditions. The dataset's exact size and creator are unspecified, but it is hosted on Kaggle with tags indicating a focus on medical imaging and computer vision. Its last update date is unknown.
Kaggle hosts a tabular dataset of patient records for healthcare analysis. The dataset is 32.13 kB in size and is categorized with platform tags for Tabular, Patient Records, Healthcare, and Clinical Data. The author, organization, and temporal coverage are unknown.
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.