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Application of Machine Learning for the Prediction of Strokes in Peru

Application of Machine Learning for the Prediction of Strokes in Peru
	© 2022 by IJETT Journal
	Volume-70 Issue-10
	Year of Publication : 2022
	Authors : Hernan Matta-Solis, Rosa Perez-Siguas, Eduardo Matta-Solis, Lourdes Matta-Zamudio, Segundo Millones-Gomez, Jehovanni Fabricio Velarde-Molina
	DOI : 10.14445/22315381/IJETT-V70I10P207

How to Cite?

Hernan Matta-Solis, Rosa Perez-Siguas, Eduardo Matta-Solis, Lourdes Matta-Zamudio, Segundo Millones-Gomez, Jehovanni Fabricio Velarde-Molina, "Application of Machine Learning for the Prediction of Strokes in Peru ," International Journal of Engineering Trends and Technology, vol. 70, no. 10, pp. 54-60, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I10P207

Abstract
Strokes are one of the most common causes of death or disability worldwide; several proposals have been put forward to reduce these accidents. The goal of the research is to create a machine learning model, which will help us predict the probability of how likely a person is to suffer or suffer a stroke. To do this, machine learning techniques were applied, as these have evolved exponentially over the years, and a dataset of stroke patients and stroke-free patients was used to train the model. As a result, our model obtained an accuracy of 77% for patients who could suffer from this disease, after which prevention can be done and thus achieve a decrease in the mortality rate from strokes.

Keywords
Machine Learning, Logistic regression, Stroke, Prediction model.

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