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Contiene datos sobre pacientes susceptibles de tener diabetes. El campo diabetes contiene la información del diagnóstico. El fichero original disponible en UCI ha sido modificado y extendido con datos ficticios con fines educacionales.
The aim is to distinguish between the presence and absence of cardiac arrhythmia and to classify it in one of the 16 groups:
- Class 01 refers to 'normal' ECG
- Classes 02 to 15 refers to different classes of arrhythmia
- Class 16 refers to the rest of unclassified ones.
For the time being, there exists a computer program that makes such a classification. However there are differences between the cardiolog's and the programs classification. Taking the cardiolog's as a gold standard we aim to minimise this difference by means of machine learning tools.
Diagnostic with 30 features related to Breast Cancer in Wisconsin. The features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image.
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
Vehicles involved in car accidents in UK during 2012.
Accidents and vehicles involved
Dataset created from a study of diabetes in females 21 years or older and of Pima Indian heritage.
Pima Indians are an interesting population to study for diabetes because they have a higher incidence of diabetes than the general U.S. population.
This dataset tries to predict whether a hepatitis patient will live or die