Embed this resource in your web site
This is a random sample of the approximately 6 million patient records from GE Medical Quality Improvement Consortium (MQIC) database.
768 Instances of medical information of females of Pima Indian heritage. Originally owned by National Institute of Diabetes and Digestive and Kidney Disease.
Vehicles involved in car accidents in UK during 2012.
Accidents and vehicles involved
100 volunteers provide a semen sample analyzed according to the WHO 2010 criteria. Sperm concentration are related to socio-demographic data, environmental factors, health status, and life habits.
David Gil, dgil '@' dtic.ua.es, Lucentia Research Group, Department of Computer Technology, University of Alicante
Jose Luis Girela, girela '@' ua.es, Department of Biotechnology, University of Alicante
This dataset tries to predict whether a hepatitis patient will live or die
Dataset with results from 4,500 Hospital Patient surveys. The data is from a list of hospital ratings for the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS). HCAHPS is a national, standardized survey of hospital patients about their experiences during a recent inpatient hospital stay. https://data.medicare.gov/dataset/Survey-of-Patients-Hospital-Experiences-HCAHPS-/rj76-22dk
Original dataset available at the UCI repository: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Original)
Discrimination of benign and malignant mammographic masses based on BI-RADS attributes and the patient's age. 6 Attributes:
BI-RADS assessment: 1 to 5 (ordinal, non-predictive!) - Age: patient's age in years (integer)
Shape: mass shape: round=1 oval=2 lobular=3 irregular=4 (nominal) - Margin: mass margin: circumscribed=1 microlobulated=2 obscured=3 ill-defined=4 spiculated=5 (nominal)
Density: mass density high=1 iso=2 low=3 fat-containing=4 (ordinal)
Severity: benign=0 or malignant=1 (binominal, goal field!)