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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,525 datasets
Kaggle hosts a dataset on mental health. The dataset's specific content, size, and origin are not detailed in the provided metadata. Further inspection after download is required to confirm its scope and structure.
SD-Extended Dermatology Dataset Draft Trim is a dataset published on Kaggle. The title suggests it contains images related to dermatology and skin conditions. The dataset's specific content, size, and provenance require verification after download.
A graph dataset likely derived from the MIMIC clinical database, focusing on relational structures. It is published on Kaggle, but details on its size, creation date, and specific content are not provided in the metadata. The dataset's columns and exact scope require verification after download.
Kaggle hosts a dataset linking diseases and symptoms, likely for medical informatics applications. The dataset's specific size, origin, and update history are not provided in the metadata. Columns and sample data are unavailable, requiring verification after download.
Multi-Encode Fusion Architecture for Medical Image is a dataset hosted on Kaggle. The platform tags suggest it relates to medical imaging and multimodal deep learning architectures. The dataset's specific content, size, and origin are not detailed in the provided metadata.
A collection of images focused on tea leaf diseases, hosted on Kaggle. The dataset is likely intended for training and evaluating computer vision models in agricultural contexts. Specific details on the number of images, collection methods, and authorship are not provided in the available metadata.
Rice Leaf Disease Dataset is a collection of images published on Kaggle. The dataset likely contains visual samples of rice leaves for the purpose of disease identification. Its specific scale, creation method, and temporal coverage are not detailed in the available metadata.
Kaggle hosts a pre-trained model for retinal image analysis. The model's architecture, training data, and performance metrics are not detailed in the available metadata. Its intended application appears to be within the medical imaging and computer vision domain.
Kaggle hosts a dataset titled 'clinical_math_diagnostic_reasoning_v2'. The dataset's platform tags suggest it relates to clinical reasoning and mathematical modeling for medical diagnosis. Specific details on its size, origin, and creation date are not provided in the available metadata.
A collection of knee X-ray images published on Kaggle. The dataset likely contains medical images intended for analysis in orthopedics or radiology. Metadata is minimal; the specific number of images, source, and collection period are unknown.
An enlarged dermatology image dataset sourced from Kaggle. The dataset likely contains images of various skin conditions for medical imaging analysis. Specific details on volume, creation date, and authorship are not provided in the available metadata.
Chest X-ray images likely corrupted to a specific severity level, hosted on Kaggle. The dataset's purpose is inferred to be for testing the robustness of medical image analysis models against image artifacts. Details on the number of images, source institution, and creation date are unavailable from the provided metadata.
sd-extended-dermatology-dataset-enlarged-50-min is a dataset of dermatology images published on Kaggle. The dataset title suggests it is an extension of a base dermatology collection, likely enlarged by a minimum of 50 images. The specific source, collection method, and temporal coverage are not provided in the available metadata.
An enlarged version of a dermatology image dataset, sourced from Kaggle. The dataset likely contains images of various skin conditions, potentially for machine learning applications. Specific details on the number of images, collection dates, and original authors are not provided in the available metadata.
Kaggle hosts a dataset titled 'Predicting Disease Risk'. The dataset's content likely involves health-related variables for risk assessment. Metadata is minimal; specifics on volume, origin, and update date are unavailable.
Kaggle hosts a dataset titled 'Predicting Disease Risks' for machine learning applications in healthcare. The dataset's specific content, size, and origin are not detailed in the provided metadata. Users must download the data to verify its structure, features, and suitability for predictive modeling tasks.
Chest X-ray images likely sourced from the National Institutes of Health (NIH). The dataset is hosted on Kaggle, but specific details on the number of images, collection dates, and annotation details are not provided in the available metadata. The original author, organization, and license information are also unknown.
A collection of images related to grape diseases, hosted on Kaggle. The dataset likely contains visual examples of healthy and diseased grape plants for analysis. Specific details on the number of images, collection date, and original author are not provided in the metadata.
Patient glucose, lifestyle, and health data are collected for diabetes monitoring. The dataset size, author, and last update date are unknown.
Retinal_Segmentation_MC_DROPOUT is a dataset from Kaggle focused on retinal image segmentation. The dataset likely contains images of the retina, potentially with segmentation masks, and is associated with a pre-trained model using Monte Carlo dropout techniques. Its specific scale, origin, and creation date are not detailed in the provided metadata.