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Research Paper | Computer Science & Engineering | India | Volume 12 Issue 1, January 2023

Detection of Stroke Disease Using Machine Learning

Kavyashree CC | Srividya A | Pavithra S ^[2] | Mohammed Salamath ^[3] | Priyanka M N

Abstract: Stroke Type prediction has become a global health issue nowadays and is an area of concern. Current system is a manual, time consuming, requires more experience of doctors and expensive and leads to less accurate results as it is manual decisions. Stroke prediction is one of the increasing diseases in the current medical sector. Prediction of Stroke disease is difficult at early stages our proposed system helps to predict the stroke disease and related types at early stages using ML algorithms. Most investigations performed on the robotized analysis of stroke and its sub - types were on the picture preparing methods and CT scan and MRI. An artificial neural system [7] gives a general method for moving toward issues. An Artificial neural system - based expectation of stroke illness enhances the analytic exactness with higher consistency.

Keywords: Stroke using Machine Learning, Machine Learning algorithms, K Nearest Neighbors, and Random Forest, 3types of stroke Ischemic stroke, Hemorrhagic stroke, Transient Ischemic stroke

Edition: Volume 12 Issue 1, January 2023,

Pages: 404 - 407