Loading...
Loading...
Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,591 datasets
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.
A dataset titled 'disease' is hosted on the Kaggle platform. The dataset's specific content, scale, and origin are not detailed in the provided metadata. It is associated with the platform tag 'Pre Trained Model', which suggests a potential connection to machine learning applications in a medical context.
A dataset titled 'patient' sourced from the Kaggle platform. The specific content, scale, and origin are not detailed in the provided metadata. Users must inspect the actual files to determine the data's scope, features, and potential applications.
Clinical-data is a dataset hosted on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Further inspection after download is required to verify its scope and applicability.
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.
ECG data likely contains time-series recordings of electrical heart activity. Published on Kaggle, the dataset's specific size, source, and collection details are unknown. The content requires verification after download.
X-ray_dataset is a collection of medical images hosted on Kaggle. The dataset's specific size, source, and creation date are unknown. Its content likely relates to diagnostic imaging.
TEECGR is a dataset published on Kaggle. The dataset's specific content, size, and origin are not detailed in the available metadata. Further inspection after download is required to confirm its exact nature and utility.
A dataset titled 'Medical' sourced from the Kaggle platform. The specific content, scale, and origin are not detailed in the provided metadata. Further inspection after download is required to determine the exact nature and scope of the data.
Physionet is a repository of physiological signals and clinical data, likely containing time-series recordings such as ECG, EEG, or other biomedical measurements. The dataset is sourced from the PhysioNet platform and published on Kaggle for accessibility. Specific details on the data volume, collection period, and contributing authors are not provided in the available metadata.
ECG5000 is a dataset of electrocardiogram signals published on Kaggle. The dataset likely contains time-series data representing heart activity. Metadata is minimal; the exact number of records, collection method, and source are unknown.
Physionet_data is a dataset hosted on Kaggle. Its content likely relates to medical or clinical data, as suggested by the title referencing the PhysioNet platform. The dataset's specific columns, size, and provenance are unknown.
Rainbowsixtest is a dataset published on Kaggle. The dataset's content is inferred from its title to be related to the Rainbow Six video game series, likely containing testing or performance data. Metadata such as author, size, and column details are unavailable.
Xrayyy is a dataset of medical X-ray images published on Kaggle. The dataset's specific content, scale, and provenance are unknown from the minimal metadata. Kaggle is a popular platform for sharing datasets for machine learning.
1 synthetic dataset of patient records facilitates heart disease prediction. It provides simulated clinical data to model cardiovascular risk factors without the privacy constraints of real-world medical records.
Two labeled categories, liver cirrhosis and healthy liver, define the dataset's target classes. These data points facilitate binary classification for identifying chronic liver conditions.
112,120 frontal-view X-ray images from 30,805 unique patients categorized into 14 distinct thoracic pathology labels. The dataset includes metadata such as patient age, gender, and view position (AP/PA) alongside multi-label disease classifications.
2,509 clinical profiles of breast cancer patients from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC). The dataset provides patient-level clinical information and longitudinal outcomes for oncology research.
1,338 individual medical insurance records across 7 demographic and health-related categories. The data tracks personal attributes like age, BMI, and smoking status alongside total healthcare expenditure.
5,500 chest X-ray images categorized into pneumonia and normal classes. The collection features images that have been manually cleaned and verified by a professional radiologist to ensure label accuracy.