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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,494 datasets
The Mental Health and Behavioral Risk Dataset is hosted on Kaggle. Its description suggests it contains data on digital behavior, lifestyle patterns, and psychological indicators. The dataset's author, organization, size, and update history are not specified.
Medical-44 is a dataset hosted on Kaggle, a platform for data science competitions and projects. Its title suggests a focus on medical or clinical information, though the specific content and structure are not detailed in the available metadata. The dataset's author, organization, and collection methodology are currently unknown.
ECGID91_NOISY_FINAL_RESAM_BP_NORM_PNG_SPLIT is a dataset of electrocardiogram (ECG) signal images, likely derived from the ECG-ID database. The title suggests the data has been processed with noise addition, resampling, blood pressure normalization, and split into PNG image files. Published on Kaggle, its specific scale, authorship, and creation date are not provided in the available metadata.
Mental health data published on the Kaggle platform. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Users must download the dataset to verify its structure, variables, and potential applications.
A dataset for predicting heart disease using machine learning, sourced from Kaggle. The specific source, collection method, and temporal coverage are not detailed in the provided metadata. The dataset likely contains patient attributes relevant to cardiovascular health assessment.
A dataset for disease prediction, published on Kaggle. The specific features, target conditions, and data collection methods are not detailed in the available metadata. Further details about the source, size, and temporal coverage require verification after download.
A dataset titled 'patient_insurance_dataset1' is hosted on Kaggle. The dataset's content likely pertains to patient interactions with health insurance systems. Metadata such as column descriptions, size, and license are currently unknown.
HRSA Health Professional Shortage Areas (HPSA) data identifies U.S. regions with insufficient access to primary care, dental, or mental health providers. The dataset is published on Kaggle, but its specific version, size, and update frequency are not detailed in the provided metadata. Content likely includes geographic and demographic indicators used to designate shortage areas for federal resource allocation.
Geospatial coordinates and a detailed directory list health service providers in Bucaramanga, Colombia, for 2021. The dataset includes contact information for directors, managers, and representatives of various hospital committees. It was published by the Colombian open data portal, datos.gov.co, and was last updated in December 2025.
Anonymized administrative claims data from a healthcare facility participating in Ghana's National Health Insurance Scheme, spanning approximately 10 years and 8 months from January 2015 to August 2025. The dataset supports research on hospital revisit prediction and disease forecasting in low- and middle-income country healthcare settings. It was uploaded by Mor11 to Hugging Face.
Healthcare is a dataset published on the Kaggle platform. The dataset's specific content, size, and origin are not detailed in the available metadata. Further details such as column definitions, sample data, and license information require verification after download.
A dataset for clinical reasoning in Hindi, focusing on heart attack risk assessment. The description indicates it involves percentage-based decision logic, suggesting it contains textual problem statements and calculations. The dataset is hosted on Kaggle, but details on its creator, size, and update history are unknown.
A dataset focused on ratio and reasoning-based calculations for diabetes dose adjustment. The description suggests it contains mathematical word problems in Hindi related to clinical scenarios. The dataset's size, origin, and temporal coverage are unknown.
Kaggle provides a dataset containing patient records related to heart disease, designed specifically for practicing data cleaning and preprocessing. The dataset includes real-world data quality issues for hands-on learning. The author, organization, and specific volume of records are not specified.
A dataset published on Kaggle, likely containing text data for developing or evaluating Retrieval-Augmented Generation (RAG) models in a healthcare context. The author, organization, and specific temporal coverage are unknown. The dataset's content and scale must be verified after download.
Patient records for individuals newly diagnosed with heart failure. The dataset is hosted on Kaggle, but the specific number of records, source institution, and collection period are not provided in the available metadata. Columns likely contain clinical and demographic information relevant to heart failure cases.
A dataset titled 'Mental Health Analysis & Preprocessing' is hosted on Kaggle. The dataset likely contains information related to mental health for analytical purposes. Metadata such as column details, size, and authorship are currently unknown.
New York State's archived daily facility-level data on COVID-19 hospitalizations and staffed bed capacity. It includes counts of hospitalized patients, admissions, discharges, fatalities, and staffed bed availability, with patient information limited to lab-confirmed cases. The dataset was published by health.data.ny.gov and archived on October 7, 2025.
PhysioNet 2012 ICU Patient Time-Series Dataset is a collection of medical data from intensive care units. The dataset likely contains physiological measurements recorded over time for critically ill patients. It is hosted on the Kaggle platform.
A paper outlining the evolution of ethical, economic, and clinical concepts of the patient's role in health care. It discusses efforts to develop a measurement infrastructure and provisions in the healthcare reform law aimed at integrating and aligning measures. The work was authored by Michael L. Millenson and sourced from the paperswithcode platform.