Cerebrovascular Accident Prediction Using Data Analysis Based on Machine Learning

Sri R., Kukatlapalli Kumar, Cherukuri Chowdary

2023

Abstract

Cerebrovascular accident is a condition that causes damage to blood vessels in the brain. It can also occur when blood flow and other nutrients to the brain stop. According to the World Health Organization (WHO), cerebrovascular accident is the leading cause of death worldwide. Most of the tasks were successful in predicting heart disease, but few of the tasks showed a stroke risk. With this concept of in mind, several machine learning models have been developed to predict the probability of having a stroke in the brain. This research selects various physiological factors, uses machine learning algorithms such as logistic regression, decision tree distribution, and random forest classification, and trains five different models for accuracy. The best algorithm for this task is Logistic Regression which is about 80% accurate.

Paper Citation

in Harvard Style

R. S., Kumar K. and Chowdary C. (2023). Cerebrovascular Accident Prediction Using Data Analysis Based on Machine Learning . In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 461-466. DOI: 10.5220/0012517600003739

in Bibtex Style

@conference{ai4iot23,
author={Sri R. and Kukatlapalli Kumar and Cherukuri Chowdary},
title={Cerebrovascular Accident Prediction Using Data Analysis Based on Machine Learning },
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={461-466},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012517600003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Cerebrovascular Accident Prediction Using Data Analysis Based on Machine Learning
SN - 978-989-758-661-3
AU - R. S.
AU - Kumar K.
AU - Chowdary C.
PY - 2023
SP - 461
EP - 466
DO - 10.5220/0012517600003739
PB - SciTePress