Stroke Prediction System Using Machine Learning Algorithms
Mr.T.N.Sudhahar
, Dr.S.Meera , K. Saraswathi , S. Sheryl Catherine , B. Sathya Priya
Machine Learning, Stroke, Classification, Prediction
Stroke could be a medical condition that may result in the death of someone. It’s a severe condition and if treated on time we are able to save one’s life and treat them well. The target of this study is to construct a prediction model for predicting stroke and to assess the accuracy of the model. Therefore, the project mainly aims at predicting the possibilities of occurrence of stroke using the emerging Machine Learning techniques. The most of strokes are classified as ischemic embolic and Hemorrhagic. An ischemic embolic stroke happens when a blood forms off from the patient brain usually within the patient heart and travels through the patient bloodstream to live narrower brain arteries. Hemorrhagic stroke is taken into account as another sort of brain stroke because it happens when an artery within the brain leaks blood or ruptures.
"Stroke Prediction System Using Machine Learning Algorithms", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 6, page no.342 - 344, June-2022, Available :https://ijsdr.org/papers/IJSDR2206056.pdf
Volume 7
Issue 6,
June-2022
Pages : 342 - 344
Paper Reg. ID: IJSDR_200630
Published Paper Id: IJSDR2206056
Downloads: 000347067
Research Area: Computer Engineering
Country: OMR- Chennai, Tamil Nadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
