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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,511 datasets
A dataset for modeling coral reef bleaching events, published on Kaggle. The specific data source, collection method, and temporal coverage are not detailed in the available metadata. The dataset's content and structure require verification after download.
MIMIC-CXR is a dataset of chest X-ray images and associated clinical data, hosted on Kaggle. The dataset's specific scale, file formats, and detailed provenance are not provided in the minimal metadata. Its content likely supports research in medical imaging analysis and clinical prediction tasks.
Mental health data is a dataset hosted on the Kaggle platform. The dataset's specific content, size, and origin are not detailed in the available metadata. Further inspection after download is required to verify its scope and structure.
Kaggle hosts a dataset on sleep health and lifestyle factors. The dataset's specific size, origin, and temporal coverage are not detailed in the provided metadata. Its content likely contains variables related to sleep patterns and daily habits.
A dataset concerning symptoms and diseases, sourced from Kaggle. The specific number of records, data collection method, and original author are unknown. The dataset's last update date is also unspecified.
NewChestXray is a dataset of chest X-ray images hosted on Kaggle. The dataset's specific size, collection method, and origin are not detailed in the provided metadata. Further verification is required to confirm its exact content and scope.
Chest X-ray images likely intended for medical analysis and machine learning. The dataset is hosted on Kaggle, but specific details on volume, source, and collection period are not provided in the available metadata. Further verification of the data's content, scale, and origin is required after download.
Medical 2.0 is a dataset published on Kaggle. Its title suggests it contains information related to healthcare or clinical topics. The specific content, size, and origin require verification after download.
A collection of chest X-ray images published on the Kaggle platform. The dataset's specific size, source, and creation date are not provided in the metadata. Further details regarding the number of images, patient demographics, and annotation specifics require verification after download.
A collection of knee X-ray images that have undergone Contrast Limited Adaptive Histogram Equalization (CLAHE) preprocessing. The dataset is hosted on Kaggle, but details on the number of images, source, and creation date are not provided. The author, organization, and specific time range are unknown.
A collection of X-ray images published on Kaggle. The dataset's specific size, source, and annotation details are not provided in the metadata. Further verification is required to assess its content and suitability for specific tasks.
Preprocessed data related to Huntington disease, a neurodegenerative genetic disorder. The dataset is hosted on Kaggle, but specific details on its origin, size, and content are not provided in the metadata. Users must download the dataset to verify its specific features, scale, and intended application.
A dataset titled 'only_diagnosis' from Kaggle. The title suggests it likely contains information related to medical or clinical diagnoses. The specific content, scale, and origin require verification after download.
Global Burden Health data likely contains metrics quantifying the impact of diseases, injuries, and risk factors worldwide. The dataset is hosted on Kaggle, a platform for data science and machine learning projects. Specific details on data volume, source, and update frequency are not provided in the available metadata.
Unified Retinal Lesion Dataset is a collection of retinal images annotated for lesion detection related to Diabetic Retinopathy. It is an academic resource intended for research in automated medical image analysis. The original author, organization, and dataset scale are not specified.
D&D Recommendation Based on Explainable Gen-AI Using Patient-Specific Modeling. The dataset is from Kaggle, but specific details on size, author, and update frequency are unavailable.
A dataset on Kaggle focused on consumer shopping behavior, likely tracking the transition from browsing to purchase. The specific number of records, features, and data collection period are not provided in the available metadata. The dataset's author, organization, and license details are also unknown.
A dataset titled 'disease dataset' is hosted on the Kaggle platform. The dataset's specific contents, scale, and origin are not detailed in the provided metadata. Users must download the data to verify its actual features, size, and suitability for analysis.
This dataset examines variables predicting the presence of leg cramps, including age, gender, rurality, BMI, sedentarism, physical activity, chronic cardiometabolic conditions, and medication use. It was created by Jenenne Geske and last updated in February 2026. The specific number of rows and columns is unknown.
Survey data on training experiences and career satisfaction among clinical psychologists. The dataset was authored by Sol L. Garfield of Washington University in St. Louis and is hosted on Papers with Code. The specific number of respondents, survey questions, and collection date are unknown.