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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,201 datasets
A collection of image patches likely derived from whole-slide images of lung tissue. The dataset is hosted on Kaggle, but details on its origin, size, and creation date are not provided in the available metadata. The title suggests it is version 10 of a series, indicating potential iterative updates.
A collection of image patches likely derived from Whole Slide Images (WSI) of lung tissue, designated as version 11. The dataset is hosted on Kaggle, but details regarding the number of patches, their source, creation date, and specific annotations are not provided in the available metadata.
Golden Lung WSI Patches v8 is a collection of image patches likely derived from whole-slide scans of lung tissue. The dataset is hosted on Kaggle, but its specific origin, size, and creation date are not provided in the available metadata. Columns and sample data are unknown, making a detailed assessment impossible without download.
Seoul emergency patient data focusing on the time of occurrence. The dataset is hosted on Kaggle, but its specific size, collection method, and time range are not detailed in the provided metadata. The author and organization responsible for its creation are also unknown.
Pediatric Asthma Diagnosis and Treatment Data is a dataset hosted on Kaggle. The dataset likely contains information related to the diagnosis and management of asthma in children. Its specific content, scale, and origin require verification after download due to minimal provided metadata.
Disease Prediction Using Symptoms is a dataset hosted on Kaggle. The dataset is described as a multiclass-classification task. The specific source, size, and collection details are not provided in the available metadata.
State of Iowa data on receipts from Federal Awards considered covered funds under Section 15011 of the Coronavirus Aid, Relief, and Economic Security (CARES) Act. The dataset includes funds appropriated through six major federal pandemic relief acts, including the CARES Act and the American Rescue Plan Act. It was last updated on March 14, 2026.
State of Iowa data on Federal funds awarded to its Executive Branch agencies considered covered funds under Section 15011 of the CARES Act. The dataset includes funds appropriated through six major federal pandemic relief acts, including the Coronavirus Preparedness and Response Supplemental Appropriations Act, 2020 and the American Rescue Plan Act, 2021. It was last updated on 2026 -03-14.
State of Iowa expenditures associated with federal awards designated as covered funds under the CARES Act and related pandemic legislation. The data is provided by the State of Iowa and was last updated on March 14, 2026. It details spending from multiple federal acts including the Coronavirus Preparedness and Response Supplemental Appropriations Act, 2020, and the American Rescue Plan Act, 2021.
CMS Chronic Conditions Data Warehouse (CCW) documentation describing standardized algorithms applied to Medicare fee-for-service (FFS) claims to identify chronic conditions. Maintained by NSAPH and updated through March 2026, it details the processing of inpatient, outpatient, and home health data for all Medicare beneficiaries.
Mimic_csv is a dataset published on Kaggle. Its title suggests it likely contains simulated or anonymized clinical data. The specific content, size, and origin require verification after download.
U.S. Department of Health & Human Services provides a dataset on Medicare-certified Home Infusion Therapy Providers. It lists providers across states and territories, including details on enrollment and location.
Monthly-updated financial records detail all transactions over £25,000 made by Portsmouth Hospitals NHS Trust. The data is published as part of the UK Government's commitment to transparency in public expenditure. It is provided in CSV format under the OGL-UK-3.0 license.
MCTest is a package for computing popular multicollinearity diagnostic measures, as referenced in two academic papers. The package, authored by Muhammad Imdad Ullah, also indicates which regressors may be the source of collinearity. It is hosted on the paperswithcode platform.
A clinical case study analyzed three female subjects with hyperfunctional dysphonia before and after a 16-session phonotherapy program. The study collected data on laryngoscopy, acoustic assessments, maximum phonation time, posture, and respiratory patterns. It was authored by Simone Rattay Andrade and published on paperswithcode.
37 children and adolescents with cystic fibrosis were retrospectively evaluated for 25-hydroxyvitamin D levels, pulmonary function, and nutritional status. The study found hypovitaminosis D in 54% of subjects and a significant association with pulmonary exacerbation frequency over a 2-year period. The dataset was created by Renata Ongaratto from a clinical study abstract.
A field study in Al Anbar Province, Iraq, collected 8 soil samples to assess contamination levels. The samples were analyzed for 6 heavy metals (Pb, Ni, Cd, Co, Cr, Cu) using X-ray Fluorescence. Enrichment Factor and Geo-accumulation Index were calculated to quantify the influence of human activities.
A retrospective study of 76 pediatric patients (aged 0-114 months) with osteogenesis imperfecta, treated between 2002 and 2014. The data includes clinical features like blue sclerae and dentinogenesis imperfecta, and fracture patterns at diagnosis. The study was authored by Evelise Brizola and sourced from paperswithcode.
261 patients, including 59 diagnosed with diabetes mellitus type 3c (T3cDM), were studied in a retrospective clinical analysis. The cohort was 77.8% men and 22.2% women, with an average age of 56.8 and 53.4 years respectively, and 63% came from urban areas. This dataset, described by Lalitha Gudipaty and Michael R. Rickels, focuses on the relationship between chronic pancreatitis and secondary diabetes.
Bridge Centrality: A Network Approach to Understanding Comorbidity presents four network statistics for identifying bridge symptoms in mental disorder networks. The statistics, developed by Payton J. Jones, were tested in simulations achieving an average sensitivity of 92.7% and specificity of 84.9%. The paper applies the algorithms to 18 group-level empirical comorbidity networks from published studies.