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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,510 datasets
Disease precaution is a dataset hosted on the Kaggle platform. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Further inspection after download is required to verify its structure, size, and applicability.
Kaggle hosts a collection of chest X-ray images categorized as COVID-19, pneumonia, and normal. The dataset likely contains medical images intended for diagnostic or research purposes. Metadata is minimal; specifics such as image count, source, and collection dates require verification after download.
A dataset likely used for training a medical large language model focused on reasoning tasks. Published on Kaggle, its specific content, size, and creation details are unknown.
Chest X-ray images likely categorized into three classes: COVID-19, pneumonia, and normal. The dataset is hosted on Kaggle, but the number of images, source institution, and collection date are unknown. The title suggests the images may be encoded or processed.
HRCT sagittal image dataset designed for patient-specific cardiopulmonary resuscitation depth modeling. The dataset contains high-resolution computed tomography scans of the thoracic region. The author, organization, and specific volume of data are not provided.
Kaggle hosts a dataset titled 'hospital-wl-artifacts'. The dataset likely contains medical imaging artifacts related to hospital wait lists. The author, organization, and specific details are unknown.
NIH Chest X-rays transforms is a dataset of medical images hosted on Kaggle. The title suggests it contains chest X-ray images, likely from the National Institutes of Health (NIH). The specific transformations applied, data volume, and collection details are unknown from the provided metadata.
Healthcare Patient Risk Prediction Dataset is a dataset published on Kaggle. Its title suggests it contains data for predicting patient outcomes or risks. Metadata is minimal; actual content requires verification after download.
Richard H. Price compiled a guide for evaluating prevention programs in mental health under contract from the National Institute of Mental Health. The document is hosted on the paperswithcode platform. Its specific data content and structure are not detailed.
A collection of images depicting potato leaves, likely for disease identification tasks. The dataset is hosted on Kaggle, but details on the number of images, collection date, and specific diseases are not provided in the metadata. The original author and organization are unknown.
augmnted-alzhemer's-disease is a dataset hosted on Kaggle. The dataset's title suggests it contains information related to Alzheimer's disease. Specific details regarding its contents, size, and origin are not provided in the available metadata.
A dataset titled 'Hospital social and STD details' is hosted on Kaggle. The dataset's specific contents, such as column definitions, row count, and source, are not provided in the metadata. Its nature suggests it may contain information related to hospital operations, social factors, and sexually transmitted disease statistics.
A Health Policy Brief from Health Affairs and the Robert Wood Johnson Foundation analyzes pay-for-performance initiatives, including provisions in the Affordable Care Act. The brief assesses studies on financial incentives for doctors and hospitals based on quality and performance measures. It discusses the mixed results of these programs and identifies needs for further research.
Six years of hospital activity data in England, exploring trends in alcohol-specific hospitalizations and service use. This analysis examines activity due to alcohol poisoning and alcohol-related inpatient admissions, as well as service use before and after a diagnosis of alcohol-related liver disease. The report was published on paperswithcode to highlight opportunities for preventative action.
A Health Policy Brief summarizes key findings on patient engagement, drawing on a February 2013 issue of Health Affairs. The brief discusses evidence that more actively involved patients have better health outcomes and incur lower medical costs. It was sourced from the paperswithcode platform.
A text-based resource from paperswithcode, likely a book or academic paper, providing an overview of disability for psychotherapists. The content covers models of disability, clinical etiquette, assessment, therapy issues, and relevant laws. The author, organization, and publication date are unknown.
A dataset titled 'lidc(400)-patient' is hosted on Kaggle. The title suggests it likely contains medical imaging data, potentially from the Lung Image Database Consortium, related to 400 patients. The specific content, including image types, annotations, and patient details, requires verification after download.
A dataset titled 'MIMIC_labeled_final' published on Kaggle. The title suggests it is a processed or final version of data from the MIMIC (Medical Information Mart for Intensive Care) database. Specific details on size, columns, and creation date are unavailable from the provided metadata.
A dataset focused on medical reasoning for large language models, published on Kaggle. The dataset likely contains text data related to medical questions, reasoning chains, or evaluations. Specific details on volume, authorship, and temporal coverage are unavailable from the provided metadata.
MIT-BIH is a dataset of electrocardiogram signals. The dataset likely contains recordings of heart electrical activity. It is published on Kaggle.