Research Area:  Machine Learning
There are several machine learning techniques that are used to perform predictive analytics over big data in various fields. Predictive analytics in healthcare is a challenging task but ultimately can help practitioners make big data-informed timely decisions about patient-s health and treatment. This paper discusses the predictive analytics in healthcare, six different machine learning algorithms are used in this research work. For experiment purpose, a dataset of patient-s medical record is obtained and six different machine learning algorithms are applied on the dataset. Performance and accuracy of the applied algorithms is discussed and compared. Comparison of the different machine learning techniques used in this study reveals which algorithm is best suited for prediction of diabetes. This paper aims to help doctors and practitioners in early prediction of diabetes using machine learning techniques.
Keywords:  
Big data analytics
Predictive Analytics
Machine Learning
Healthcare
Diabetes Prediction
Author(s) Name:   Muhammad Azeem Sarwar; Nasir Kamal; Wajeeha Hamid; Munam Ali Shah
Journal name:  
Conferrence name:  2018 24th International Conference on Automation and Computing (ICAC)
Publisher name:  IEEE
DOI:  10.23919/IConAC.2018.8748992
Volume Information:  
Paper Link:   https://ieeexplore.ieee.org/abstract/document/8748992