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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,197 datasets
Centers for Medicare and Medicaid Services (CMS) data lists physician applications pending initial processing by contractors. The dataset is maintained by CMS, with platform records showing updates scheduled for 2026, indicating a forward-looking administrative system.
A dataset titled 'OUR FINAL PATIENTS' published on Kaggle. The title suggests it contains information related to patients, likely within a medical or clinical context. No further metadata is available to confirm the data's origin, size, or specific content.
Medical Chatbot data, likely containing conversational text for training or evaluating healthcare dialogue systems. The dataset is hosted on Kaggle, but its specific source, size, and creation details are not provided. Content and structure require verification after download.
Real-world data on healthcare insurance premiums and medical expenses. The dataset is hosted on Kaggle, but its author, size, and specific collection details are unknown. It is intended for predictive modeling tasks related to insurance costs.
ProteinGym is a benchmark suite for protein fitness prediction and design models. It comprises a curated collection of over 200 high-throughput experimental assays covering approximately 3 million mutated sequences, along with expert clinical annotations on pathogenicity for mutants in over 3,000 human genes. The dataset is hosted on AWS Open Data and is licensed under MIT.
TRECCOVID is a benchmark dataset containing scientific articles related to the COVID-19 pandemic, designed for evaluating ad-hoc search and text embedding models. It was created by the Massive Text Embedding Benchmark (MTEB) project and is hosted on Hugging Face, with a reference to the NIST COVID-19 information retrieval challenge. The dataset page was last updated in February 2026.
43.6 million person-years of de-identified commercial claims data underpin this summary of vision health prevalence rates. The dataset, produced by Truven Health Analytics (IBM Watson Health), provides stratified estimates from 2016, 2020, 2021, 2022, and 2023. It was last updated by the CDC's Vision and Eye Health Surveillance System in 2025.
Worldwide data on the geographic distribution of COVID-19 cases, sourced from the European Centre for Disease Prevention and Control. The dataset includes the reported number of diagnosed cases and deaths each day in every country. It is a direct transformation of the original ECDC data, provided under a CC0 1.0 license.
Length of stay data for hospital patients, categorized into 11 classes from 0-10 days to over 100 days. The dataset includes features related to patient demographics, hospital characteristics, and admission details to support resource allocation planning during the COVID-19 pandemic. It is hosted on OpenML under a CC0-1.0 license.
The Cleveland Heart Disease database contains 76 attributes per patient, though published experiments typically use a subset of 14. It was created by a consortium including the Hungarian Institute of Cardiology and University Hospitals in Zurich and Basel. The target field indicates the presence of heart disease on an integer scale from 0 (no presence) to 4.
Kaggle hosts a dataset for thyroid disease prediction. The dataset likely contains clinical and diagnostic features used to predict thyroid conditions. Its specific size, origin, and update history are not detailed in the provided metadata.
10,000 chest X-ray images form this dataset, likely sourced from the NIH ChestX-ray14 collection. The dataset is hosted on Kaggle, but its specific composition and metadata are not detailed in the provided input. Columns, sample data, and license information are unknown.
Mental Health is a dataset hosted on the Kaggle platform. Its specific content and scope are not detailed in the provided metadata. The dataset likely contains information related to mental health conditions, treatments, or patient-reported outcomes.
NASA_data_ecg_final is a dataset of electrocardiogram (ECG) signals, likely collected for health monitoring or physiological research. The dataset is hosted on Kaggle, but its specific size, collection dates, and originating institution are not detailed in the provided metadata. Columns and sample data are unavailable for review.
Kaggle hosts this dataset titled 'nasa_data_ecgfinal'. The dataset likely contains electrocardiogram (ECG) signal data, potentially related to health monitoring or physiological research. Its specific origin, size, and collection details are not provided in the available metadata.
Kaggle hosts a dataset concerning patient appointment attendance. The dataset likely contains records of scheduled medical appointments and whether patients attended. Its specific size, origin, and time period are not detailed in the provided metadata.
A sample of 5,000 federally excluded healthcare providers from the U.S. Department of Health and Human Services Office of Inspector General's List of Excluded Individuals/Entities (LEIE). The dataset likely contains records of individuals and entities barred from participation in federal healthcare programs. It was published on Kaggle.
A 10-year trend analysis of heart failure epidemiology in less developed areas of Brazil, authored by Amanda Fernandes. The dataset likely contains aggregated statistics on hospital admissions, in-hospital mortality, population mortality, and length of stay, stratified by year, gender, and age. Data was collected retrospectively from the DATASUS database for patients aged 15 and older from 2008 to 2017.
A recent study found ivermectin reduced SARS-CoV-2 viral RNA by 99.98% in vitro at a 5 μM concentration. The dataset, from a paper by Ricardo Pena Silva of Universidad de Los Andes, discusses the significant pharmacokinetic challenge, as the highest reported human plasma concentration is only 0.28 μM, 18 times lower than the effective in vitro dose. It explores the gap between in vitro promise and in vivo feasibility for this widely available drug.
Luiz P Kowalski et al from Universidade de São Paulo authored a paper detailing the impact of the COVID-19 pandemic on otolaryngology and head and neck surgery. The work provides evidence-based safety recommendations for healthcare workers, particularly surgeons and anesthetists, who face a high risk of infection from aerosol-generating procedures. It discusses patient management strategies, personal protective equipment (PPE) use, and risk factors for healthcare personnel.