Machine Learning in Python: Diabetes Prediction Using Machine Learning

View Sample PDF

Author(s): Astha Baranwal (VIT University, India), Bhagyashree R. Bagwe (VIT University, India)and Vanitha M (VIT University, India)
Copyright: 2020
Pages: 27
Source title: Handbook of Research on Applications and Implementations of Machine Learning Techniques
Source Author(s)/Editor(s): Sathiyamoorthi Velayutham (Sona College of Technology, India)
DOI: 10.4018/978-1-5225-9902-9.ch008

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference / Neural Networks

Purchase

View Machine Learning in Python: Diabetes Prediction Using Machine Learning on the publisher's website for pricing and purchasing information.

Abstract

Diabetes is a disease of the modern world. The modern lifestyle has led to unhealthy eating habits causing type 2 diabetes. Machine learning has gained a lot of popularity in the recent days. It has applications in various fields and has proven to be increasingly effective in the medical field. The purpose of this chapter is to predict the diabetes outcome of a person based on other factors or attributes. Various machine learning algorithms like logistic regression (LR), tuned and not tuned random forest (RF), and multilayer perceptron (MLP) have been used as classifiers for diabetes prediction. This chapter also presents a comparative study of these algorithms based on various performance metrics like accuracy, sensitivity, specificity, and F1 score.

The IRMA Community

Research IRM

Machine Learning in Python: Diabetes Prediction Using Machine Learning

Purchase

Abstract

Related Content

IRMA Sponsors