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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,178 datasets
A clinical dataset published on Kaggle. The title 'mimic-full' suggests it may be related to the MIMIC critical care database. The specific content, scale, and origin require verification after download.
The Diabetes-Data-Set originates from the National Institute of Diabetes and Digestive and Kidney Diseases. It contains diagnostic measurements from female patients of Pima Indian heritage, aged at least 21, to predict the onset of diabetes. The dataset was used in a 1988 study that applied the ADAP learning algorithm to forecast diabetes mellitus.
This mixed-method dataset captures the experiences of 175 women of reproductive age using a digital family planning monitoring tool in Kaduna and Lagos, Nigeria. Collected by Ubuane and Osimhen for the Population Council between March and July 2023, the data evaluates quality of care (QoC) at Patent and Proprietary Medicine Vendors (PPMVs). It combines quantitative tool interaction data with verbatim transcriptions from semi-structured focus group discussions.
Francisco Santos Neto's 2021 study validated a simple ECG algorithm for detecting ventricular tachycardia. The dataset includes 120 patient electrocardiograms from an electrophysiological study, with 82 recordings of VT and 38 of SVT-A. The study compared the new D12V16 algorithm's performance against the traditional Brugada algorithm.
High-quality voice recordings captured at CD quality from a Motorola Moto G4 smartphone in a clinical setting at King's College London Hospital. The dataset includes participants with early and advanced Parkinson's disease and healthy controls, labeled with Hoehn & Yahr and UPDRS clinical scores. Recordings were made in September 2017 using a custom app that triggered on phone call signals.
Bruno M. Pereira from Universidade Estadual de Campinas authored a detailed review of topical hemostatic agents commonly used in surgical specialties. The manuscript, sourced from paperswithcode, discusses the mechanisms of action, effectiveness, and adverse effects of various agents. It was motivated by the growing number of available agents and an absence of a review article in the national literature on this topic.
22 pediatric subjects are represented in the CHB-MIT Scalp EEG Database, a collection of electroencephalogram recordings. The data is hosted on Kaggle, but the original source is the CHB-MIT consortium. The last update date for this specific listing is unknown.
882 observations link smoking behavior to periodontal disease outcomes. The data appears designed for causal inference analysis in dental health. It was sourced from Kaggle, but details about its collection and origin are unspecified.
14925 bytes of supplementary Excel data accompany a 13-year real-world study on Intravascular Large B-Cell Lymphoma. The dataset likely contains clinical or laboratory information related to diagnostic methods like random skin biopsy and treatments including Zanubrutinib. Its cross-platform presence on figshare suggests it is a core component of the published research.
Ecg_af_vf_prediction is a dataset from Kaggle for predicting atrial fibrillation (AF) and ventricular fibrillation (VF) from electrocardiogram (ECG) signals. The dataset's specific size, features, and origin are not detailed in the provided metadata. Its content likely contains time-series ECG data for binary or multi-class classification tasks.
Heart disease data originally sourced from the UCI Machine Learning Repository and shared on Kaggle. The dataset likely contains clinical and diagnostic variables related to cardiovascular health. Specific details on the number of records, features, and collection period are not provided in the metadata.
Ecg_af_vf_prediction_dataset is a dataset hosted on Kaggle. Its title suggests it contains electrocardiogram (ECG) data for predicting atrial fibrillation (AF) and ventricular fibrillation (VF). The dataset's specific size, origin, and update date are unknown.
A collection of medical images for classifying diseases of the eye retina. The dataset is hosted on Kaggle, but its specific size, source, and creation date are not provided in the available metadata. Further details about the image count, annotation methodology, and originating institution require verification after download.
Kaggle hosts a dataset titled 'Healthcare_IOT_Data'. The dataset likely contains readings from Internet of Things (IoT) devices used in a medical or wellness context. No information is available regarding its size, creator, collection period, or specific geographic origin.
A collection of images related to skin conditions in pets, sourced from Kaggle. The dataset likely contains visual examples of various dermatological issues for companion animals. Specific details on the number of images, breeds covered, or annotation methods are not provided in the available metadata.
A register of gifts and hospitality valued at £25 or more received by London Assembly Members in connection with their official duties. The data is maintained by the Greater London Authority and has been collected since September 12, 2007, following the adoption of a new Code of Conduct. The dataset likely contains records of items received, their value, the recipient, and the date.
Chest X-Ray Pneumonia Classification dataset is hosted on Kaggle. The description mentions the use of ResNet-50, EfficientNet-B3, and a custom CNN, suggesting a focus on transfer learning pipelines for medical image analysis. The dataset's specific size, source, and update date are unknown.
Quarterly reports detail fetal and non-fetal deaths by sex, age, mortality type, municipality, and site of death. The dataset includes demographic and socioeconomic columns such as marital status, last year of studies, occupation, ethnic affiliation, and social security regime. Data is provided by the open data portal of Colombia (datos.gov.co), with a last recorded update in February 2026.
Preliminary Unintentional Drug Overdose Deaths is a dataset from the San Francisco Office of the Chief Medical Examiner (OCME). It contains monthly counts of preliminary unintentional fatal drug overdoses, manually updated based on OCME's monthly reports. The data includes cases under investigation for opioid, cocaine, or methamphetamine toxicity, as well as finalized cases attributed to any substance.
Chicago Department of Public Health's official alerts for outbreak detection and emergency response. The dataset is published as a web-based communication tool for medical providers, laboratories, and first responders. Alerts are published promptly but are not a substitute for professional medical advice.