Loading...
Loading...
Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,473 datasets
The National Hospital Discharge Survey (NHDS) is an annual sample of hospital discharge records collected by the United States Department of Health and Human Services, National Center for Health Statistics. The 2003 dataset includes patient demographics, admission and discharge details, diagnoses, procedures, and hospital characteristics. Medical information is coded using the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM).
The 2005 National Hospital Discharge Survey (NHDS) collects annual medical and demographic information from a sample of hospital discharge records. It includes patient demographics, admission and discharge details, diagnoses, procedures, and hospital characteristics, with medical information coded using ICD-9-CM. The dataset was created by the United States Department of Health and Human Services, National Center for Health Statistics.
The 2006 National Hospital Discharge Survey (NHDS) collects medical and demographic information from a sample of hospital discharge records. It includes patient demographics, admission and discharge dates, diagnoses, procedures, and hospital characteristics. The data is coded using ICD-9-CM and was produced by the U.S. Department of Health and Human Services, National Center for Health Statistics.
87,637 clinical and laboratory records document pediatric hospitalizations at Kilifi County Hospital, Kenya, between August 1998 and June 2024. Kelvin Mokaya Abuga compiled this surveillance data to investigate the relationship between severe anaemia and invasive bacterial infections over a 26-year period.
Hospital Operations Dataset (Unclean) is a realistic-synthetic dataset focused on healthcare resource demand and operational analytics. The dataset was published on Kaggle, but its author, organization, and specific creation details are unknown. Its size, row count, and column structure are not provided.
Final_processed_dataset_Xray8Class is a Kaggle-hosted collection of medical images. The title suggests it contains processed chest X-ray images categorized into eight distinct classes. Metadata is minimal; the exact number of images, source, and processing details require verification after download.
Final_Xray8Class is a Kaggle-hosted dataset of medical images. The title suggests it contains chest X-ray images organized for an eight-class classification task. Metadata such as sample size, collection date, and author are currently unavailable.
A dataset titled 'pathology_prediction_util' is hosted on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Its columns, sample data, and other descriptive attributes are listed as unknown.
Synthetic vital signs data for ICU monitoring and analytics. The dataset likely contains multi-frequency signals simulating patient physiological measurements. It was sourced from Kaggle, but details about its creation, size, and update date are unknown.
Cassava Disease Training Data is a dataset hosted on Kaggle. The title suggests it contains images for training models to identify diseases in cassava plants. The dataset's specific size, origin, and update history are not detailed in the available metadata.
A healthcare dataset from the 1988 National Survey of Medical Expenditure. The dataset is hosted on Kaggle, but the original source and specific content details are not provided in the metadata. The number of rows, columns, and file formats are unknown.
Smart Healthcare and Lifestyle Prediction Dataset is a collection from Kaggle likely containing records related to health and daily habits. The dataset's specific content, size, and origin are not detailed in the provided metadata. Users must inspect the actual files to verify the data's structure and applicability for predictive modeling tasks.
A collection of chest X-ray images intended for disease detection tasks. The dataset is hosted on Kaggle, a platform for data science competitions and projects. Metadata is minimal; actual content requires verification after download.
A text dataset from Kaggle intended for training GPT-style medical chatbots. The description suggests the data has been cleaned and is provided in JSONL format. The author, organization, and specific scale of the data are unknown.
Yearly hospital financial data from the State of Washington, focusing on cost center sections. The dataset includes structured financial reporting information for healthcare administration. It was last updated in March 2026.
Quarterly Charity Care Application Report provides data on hospital financial assistance applications in Washington State. The dataset is published by the State of Washington and was last updated in March 2026. The specific number of records and data fields are not detailed in the available metadata.
A list of operating cannabis and medical marijuana businesses published by the State of Connecticut. The dataset was last updated on March 22, 2026, and is available in multiple structured formats including CSV and JSON.
PreProcessingECG is a dataset hosted on Kaggle. The title suggests it contains electrocardiogram (ECG) signals, likely intended for preprocessing tasks. The dataset's specific size, origin, and update history are not provided in the available metadata.
A database of health provider credentials maintained by the Washington State Department of Health. It allows searching by individual name or credential status, such as 'Expired' or 'Registered Nurse'. The data can be exported or accessed via API.
LLM Clinical Reasoning Evaluation (TCM) is a benchmark dataset for assessing large language models in clinical contexts. The dataset focuses on safety and social cognition aspects, likely within the domain of Traditional Chinese Medicine. The dataset's author, organization, size, and update history are unknown.