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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,076 datasets
378,916 patient records from a study analyzing characteristics across predicted in-hospital mortality periods. The dataset was authored by Huda Kutrani and is available under a CC-BY-4.0 license on figshare. Its last update was recorded as 2026-05-05.
A dataset of patient characteristics categorized by predicted length of stay periods, shared by author Huda Kutrani on figshare. The dataset is available as a 13.5 KB XLS file under a CC-BY-4.0 license. It was last updated on May 5, 2026.
A dataset for predicting patient length of stay and in-hospital mortality. It was authored by Huda Kutrani and is available under a CC-BY-4.0 license. The dataset was last updated on May 5, 2026.
Risk factor data for 30-day mortality in patients with HAT analyzed using univariate and multivariate Cox proportional hazards models. The dataset was authored by Guanjing Lang and last updated on May 5, 2026. It is a small dataset, 5.5 KB in size, and is available in XLS format under a CC-BY-4.0 license.
464 patient records describe the demographic characteristics of individuals with Human African Trypanosomiasis (HAT). The dataset was authored by Guanjing Lang and last updated on May 5, 2026. It is a small, 9.5 KB Excel file available under a CC-BY-4.0 license on figshare.
A 13.5 KB Excel file containing clinicopathologic characteristics for breast cancer patients and normal controls, authored by Amr Ahmed WalyEldeen and last updated on May 5, 2026. The dataset is shared under a CC-BY-4.0 license on the figshare platform.
A dataset comparing prognosis and outcomes for patients based on initial intervention and the success or failure of medical treatment. The dataset is 9.5 KB in size, authored by María García de Santos, and was last updated on May 5, 2026. It is available in XLS format under a CC-BY-4.0 license on figshare.
Univariate comparison of patients with initial medical management with and without treatment failure. The 13.5 KB XLS file was authored by María García de Santos and last updated on May 5, 2026. Its specific medical context and patient variables are described in the title.
A univariate comparison of patients who received an initial intervention versus those who received initial medical treatment. The dataset was authored by María García de Santos and is available under a CC-BY-4.0 license. It was last updated on May 5, 2026.
9.5 KB Excel file comparing clinical characteristics between two groups, authored by Liye Han and last updated on 2026-05-05. The dataset is shared under a CC-BY-4.0 license on the figshare platform. Its specific row count and column details are not provided in the metadata.
A 5.5 KB Excel file containing cross-tabulation and chi-square test results for count data related to gastrointestinal bleeding, with or without hemorrhagic shock, in ICU patients. The dataset was authored by Changfu Liu and last updated on May 5, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
Independent sample t-test results from a univariate analysis of continuous variables related to gastrointestinal bleeding, with or without hemorrhagic shock, in ICU patients. The dataset was authored by Changfu Liu and is available under a CC-BY-4.0 license. It was last updated on May 5, 2026.
Peter KM Ku from United Christian Hospital authored clinical practice guidelines for managing dysphagia in head and neck cancer patients during the COVID-19 pandemic. The document provides a practical workflow to balance SARS-CoV-2 exposure risks with dysphagia risks, focusing on modified assessment and care pathways. It is published as Open Access material on the paperswithcode platform.
Aggregated, non-identifiable input parameters for modeling the hypertension care continuum in South Africa. The dataset includes epidemiological, economic, and intervention-effect data to simulate cost-effectiveness and resource allocation outcomes. Authored by Martins Nweke and last updated on April 11, 2026.
Sleep Health and Lifestyle data is a Kaggle dataset likely containing survey or self-reported information on sleep patterns and daily habits. The dataset's specific variables, size, and collection methodology are not detailed in the available metadata. Its origin and temporal coverage are also unspecified.
Deidentified vital signs and clinical data for 3829 very-low-birth-weight infants from four neonatal intensive care units. The dataset includes REDCap form exports for demographics, discharge outcomes, intubation, and sepsis/NEC evaluations, alongside high-frequency heart rate and SPO2 vital sign recordings. It was created by researchers including Ian German Mesner and colleagues, with a manuscript pre-print dated 2026.
224.6 MB of supporting data listing significant Single-Nucleotide Polymorphisms (SNPs) identified using Genomic Informational Field Theory (GIFT). The dataset was created by Cyril Rauch and last updated on 2026-04-21. It supports research on the intersection of Alzheimer's disease pathology and end-of-life traits.
A dataset titled 'Medical Qa' was published on the Hugging Face platform by author reda2000ach. The dataset's last recorded update was on 2026-06-26. The title suggests it likely contains medical question-answer pairs.
Samples from four distinct locations: Brandur (Iceland), Avellino (Italy), K?lauea Iki (Hawaii, USA), and Saint Kitts (St. Kitts and Nevis). The dataset comprises X-ray tomography image stacks with spatial resolutions from 3.5 to 56 µm, label files, and vector matrices for permeability simulations. It also includes electron microprobe analyses of plagioclase and amphibole minerals from Saint Kitts, and was last updated on 2026-04-09.
A research paper describes a cross-center retinal image database containing 2,635 images for diagnosing retinopathy of prematurity (ROP) plus disease. The study, by Xiqianru Zhang, compares nine deep learning models, with ResNet50 achieving the best performance metrics, including an AUC of up to 1.00 for Plus disease classification. The consolidated multi-center cohort yielded optimal model performance with an accuracy of 92.60%.