Stroke Prediction Using Machine Learning Algorithms
Harshitha K V , Harshitha P , Gunjan Gupta , Vaishak P , Prajna K B
Stroke is a destructive illness that typically influences individuals over the age of 65 years age. Prediction of stroke is a time consuming and tedious for doctors. Therefore, the project mainly aims at predicting the chances of occurrence of stroke using the emerging Machine Learning techniques. Five different algorithms are used and a comparison is made for better accuracy. Aim is to create an application with a user-friendly interface which is easy to navigate and enter inputs.
AI, Data Pre-processing, Classification, Machine Learning.
Tasfia Ismail Shoily, Tajul Islam, , Sumaiya Jannat and Sharmin Akter Tanna "Detection of stroke using machine learning algorithms", 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE, July 2019.
JoonNyung Heo , Jihoon G. Yoon , Hyungjong Park , Young Dae Kim , Hyo Suk Nam and Ji Hoe Heo. "Stroke prediction in acute stroke", Stroke. 2019;50:1263-1265, AHA Journal, 20 Mar 2019.
Jaehak Yu,Damee Kim,Hongkyu Park,Seung-chul Chon,Kang Hee Cho,Sun-Jin Kim,Sungkyu Yu,Sejin Park and Seunghee “Semantic analysis of NIH stroke” , 2019 International Conference on Platform Technology and Service (PlatCon), IEEE, 30 Jan 2019.
Jeena R.S and Dr.Sukesh Kumar “Stroke prediction using SVM”, International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE, 2016.
Chutima Jalayondeja “Stroke risk prediction model based on demographic data” , The 2015 Biomedical Engineering International Conference (BMEiCON-2015), IEEE, 2015.
Benjamin Letham,Cynthia Rudin Tyler, H. McCormick and David Madigan “An interpretable model for stroke prediction using bayesian analysis”, The Annals of Applied Statistics 2015, Vol. 9, No. 3, 1350–1371, Institute of Mathematical Statistics, IEEE, 5 November 2015.