Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.

Benchmarks

Pima Indians Diabetes Database

Users: 1 - Average Rating: 3.00


This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.

Scientific Area:
Machine Learning

Language/Environments:
MatLab, Python

Target Group:
Basic


Cite as:
Smith, J.W., Everhart, J.E., Dickson, W.C., Knowler, W.C. and Johannes, R.S. (1988) Using the ADAP Learning Algorithm to Forecast the Onset of Diabetes Mellitus. Proceedings of the Annual Symposium on Computer Application in Medical Care, Orlando, 7-11 November, 261-265.

Author of the review:
Inês Sena
Research Centre in Digitalization and Intelligent Robotics (CeDRI) - Instituto Politécnico de Bragança


Reviews

You have to login to leave a comment. If you are not registered click here