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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,512 datasets
Kaggle hosts a dataset titled 'Patient Data'. The dataset's specific content, size, and origin are not detailed in the provided metadata. Its scope and structure require verification after download.
ECG_DATA contains electrocardiogram signals for heart disease analysis and machine learning classification. The dataset's specific volume, creator, and temporal details are not provided in the input.
A dataset concerning cardiovascular disease, sourced from the Kaggle platform. The specific content, size, and origin are not detailed in the provided metadata. Further inspection is required to determine the exact variables, patient population, and collection methodology.
A dataset of skin disease images published on Kaggle. The specific number of images, collection method, and source institution are not detailed in the available metadata. Users should verify the actual content and annotations after download.
TDA-ECG-Features is a dataset published on Kaggle. The title suggests it contains extracted features from electrocardiogram (ECG) signals, likely processed using Topological Data Analysis (TDA) methods. Specific details on the number of samples, features, and data collection methods are unavailable from the provided metadata.
Kaggle hosts a dataset of patient notes related to neurohealth. The dataset's specific size, origin, and time period are not detailed in the provided metadata. Metadata is minimal; actual content requires verification after download.
Mushroom disease and species data, likely used for classification tasks. The dataset involves multiple transformations, suggesting preprocessed features for analysis. Author, size, and update details are not provided.
Six distinct retinal fundus image datasets, including EyePACS, MESSIDOR, DeepDRID, IDRID, DDR, and APTOS 2019, are aggregated. The collection facilitates comparative analysis and model training across multiple sources. The datasets were compiled by Mian Hamza, though specific creation dates and original sources are not detailed.
1993-2005 data on the reported HIV status of tuberculosis patients in the United States. The dataset is aggregated from paperswithcode, a platform for machine learning resources. Its specific source, collection methodology, and granularity are not detailed in the provided metadata.
The U.S. market for medical devices, the largest in the world, was estimated at $83 billion in 2006. This market represents nearly half the global total and was growing at 6 percent annually at that time. The description discusses the replacement of older mechanical devices with microprocessor-based, networked systems.
The National Healthcare Disparities Report, 2007 dataset likely contains tabular data on health disparities across populations. It was published on the paperswithcode platform. The dataset's specific content and structure require verification after download.
National Healthcare Quality Report likely contains metrics and indicators related to healthcare system performance. Published on paperswithcode, the dataset focuses on the year 2011. Columns suggest it may include measures of care quality, patient safety, or access.
A 2004 report on healthcare quality, likely containing metrics and indicators for assessing performance. The dataset is sourced from paperswithcode and its specific columns and size are not detailed in the metadata. The license is listed as closed, which may restrict usage.
A report on national healthcare quality metrics from the year 2003. The dataset is hosted on the paperswithcode platform, which aggregates resources for AI and machine learning practitioners. The specific author, organization, and detailed column structure are currently unknown.
National Healthcare Quality Report from 2005, aggregated on the paperswithcode platform. The dataset likely contains metrics and indicators for evaluating healthcare system performance. Its specific columns, size, and original author are currently unknown.
ecg-training-data-0003-0005-0006 is a dataset of electrocardiogram (ECG) signals, likely intended for training machine learning models. The dataset is hosted on Kaggle, but details about its size, origin, and specific contents are not provided in the metadata. The title suggests it contains multiple signal recordings, possibly from different sources or patients.
Kaggle hosts this dataset of electrocardiogram (ECG) signals, likely intended for training machine learning models. The specific source, collection method, and temporal coverage are not provided in the metadata. The dataset's title suggests it contains a series of ECG signal samples.
ECG Training Data 0012 is a dataset of electrocardiogram signals, likely intended for machine learning model development. It was published on Kaggle, but details on its size, origin, and collection date are not provided in the metadata. The specific number of records, signal length, and patient demographics are unknown.
National Healthcare Quality Report, 2008 is a dataset published on paperswithcode. The dataset likely contains metrics and indicators related to healthcare quality. The specific content, scale, and methodology are unknown.
2007 data from a national healthcare quality report. The dataset likely contains metrics and indicators related to healthcare system performance and quality standards. It is published on the paperswithcode platform.