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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,554 datasets
UCI hosts this dataset on ultrasonic flowmeter diagnostics. The data is used for analyzing sensor signals and fault detection in industrial flow measurement systems. Specific details on data volume, creators, and collection date are not provided.
UCI hosts a multimodal medical imaging dataset containing Optical Coherence Tomography (OCT) and color fundus images for left and right eyes. The dataset is intended for ophthalmology and retinal disease research. Specific collection details, such as the number of subjects, time range, and originating institution, are not provided.
Speech recordings from patients provide potential early biomarkers for Parkinson's disease. The dataset originates from the UCI Machine Learning Repository and is focused on medical research and speech analysis.
Digitized spiral drawings from a graphics tablet provide objective motor function data for Parkinson's disease assessment. The dataset, sourced from the UCI Machine Learning Repository, contains time-series features extracted from patient handwriting tasks. It is designed for developing quantitative tools to monitor disease progression.
UCI's Mesothelioma disease data set contains clinical records related to this specific cancer. The dataset's exact size, creation date, and authorship are not specified in the provided metadata. It is categorized as a medical and clinical dataset on the UCI platform.
UCI Machine Learning Repository hosts a Chronic Kidney Disease dataset for diagnostic prediction. The collection contains tabular clinical data with features like health indicators and patient demographics for modeling disease outcomes. Its specific size and update history are not detailed in the provided metadata.
UCI Machine Learning Repository provides a dataset for sensorless drive diagnosis. The dataset contains 48 features derived from motor current signals to classify 11 different operating conditions. It is designed for benchmarking fault detection algorithms.
Aggregating clinical data for liver cirrhosis detection and analysis. It is intended for exploratory data analysis in healthcare applications.
A re-uploaded version of the Muharaf dataset created by Mehreen Saeed et al. for research purposes. The dataset is hosted on Hugging Face for easier access and experimentation, with a last recorded update on 2025-12-31.
Designed for predicting medical insurance charges based on demographic, lifestyle, and health risk factors. It is tagged for regression, insurance, health, finance, and data analytics tasks. Specific details on the number of rows, columns, and data collection are not provided.
This dataset supports a manuscript on the spatial analysis of sheep fascioliasis in rural communities. The data originates from the Southern Highlands of Peru, with precise geospatial coordinates removed to comply with health information privacy rules. The author is Melinda Tanabe, and the dataset was last updated in February 2026.
Clinical blood parameters dataset for dengue disease prediction. The dataset is hosted on Kaggle, but its author, organization, and specific creation details are not provided. The number of rows, columns, and last update date are unknown.
The Provider of Services (POS) Clinical Laboratories (CLIA) data provides information on CLIA demographics and types of testing services the facility provides. It includes provider number, name, address, and characteristics of participating institution providers.
Serving as designed for predicting student stress and burnout. It is tagged for healthcare, academic performance, and is structured in a tabular format.
Used to predict the onset of diabetes based on diagnostic measures. It contains tabular health records from the Pima Indian population in the United States.
Health and Safety Measures is a dataset published on the japan_data platform. The data was authored by the δΊεη·ε±ε½ιθͺ² (International Affairs Division, Secretariat) of the δΊΊδΊι’ (National Personnel Authority). The dataset was last updated on 2026-01-28 13:04:22.954266.
India Hospital Readmission Dataset contains 120,000 admissions from 2015 to 2024. It includes ICD-10 diagnosis codes, laboratory values, and a 30-day readmission flag. The data is structured across five relational tables.
AI-extracted structured metadata from approximately 250 CRISPR clinical trials conducted between 2016 and 2025. The data provides a machine-readable view of trial characteristics, though the original author and specific data collection method are unknown.
Official vocabulary value sets for 2014 Clinical Quality Measures (CQMs) are provided by the Value Set Authority Center (VSAC). The value sets consist of numerical codes and human-readable terms drawn from standard vocabularies like SNOMED CT, RxNorm, LOINC, and ICD-10-CM. These define clinical concepts used in measures such as identifying patients with diabetes.
CBER is the FDA center regulating biological products like vaccines and blood products under the Public Health Service Act. Its mission is to ensure these products are safe, effective, and available to the public. The dataset likely contains regulatory documents, policy information, or public health communications from this authoritative source.