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Research Article
Predicting Stroke Risk Using Random Forest Algorithm
D. Pravin kumar1
S. Alagarsamy Raja2
J. Arunsunai Gowtham3
B. Kalanithi4
1Associate Professor, Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India. 234 Final Year Students, Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India.
Published Online: September-October 2024
Pages: 37-39
Cite this article
No DOIReferences
1. K. Mridha, S. Ghimire, J. Shin, A. Aran, M. M. Uddin and M. F. Mridha, "Automated Stroke Prediction Using Machine Learning:
An Explainable and Exploratory Study With a Web Application for Early Intervention," in IEEE Access, vol. 11, pp. 52288-52308,
2023
2. S. Sakri et al., "An Improved Concatenation of Deep Learning Models for Predicting and Interpreting Ischemic Stroke," in IEEE
Access, vol. 12, pp. 53189-53204, 2024
3. S. Peñafiel, N. Baloian, H. Sanson and J. A. Pino, "Predicting Stroke Risk With an Interpretable Classifier," in IEEE Access, vol. 9,
pp. 1154-1166, 2021
4. M. Wang, X. Yao and Y. Chen, "An Imbalanced-Data Processing Algorithm for the Prediction of Heart Attack in Stroke Patients," in
IEEE Access, vol. 9, pp. 25394-25404, 2021
5. A. N. V. K. Swarupa, V. H. Sree, S. Nookambika, Y. K. S. Kishore and U. R. Teja, "Disease Prediction: Smart Disease Prediction
System using Random Forest Algorithm," 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies
(ICISSGT), Visakhapatnam, India, 2021
6. K. Kamata et al., "Development of stroke detection method by heart rate variability analysis and support vector machine," 2015 AsiaPacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), Hong Kong, China, 2015, pp.
1257-1261, doi: 10.1109/APSIPA.2015.7415475.
7. K. S. R. S, B. Chandra, K. Kausalya, C. RM and G. R. V, "Prognosis of Stroke using Machine Learning Algorithms," 2023 7th
International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2023, pp. 1-6, doi:
10.1109/ICCMC56507.2023.10084158.
8. M. Dahiya, N. Mishra, S. Agarwal and Z. Parveen, "Predicting the occurrence of Ischemic stroke by Gradient Boost Approaches,"
2023 4th International Conference on Intelligent Engineering and Management (ICIEM), London, United Kingdom, 2023, pp. 1-4,
doi: 10.1109/ICIEM59379.2023.10166287.
9. P. Gahiwad, N. Deshmane, S. Karnakar, S. Mali and R. Pise, "Brain Stroke Detection Using CNN Algorithm," 2023 IEEE 8th
International Conference for Convergence in Technology (I2CT), Lonavla, India, 2023, pp. 1-4, doi:
10.1109/I2CT57861.2023.10126125.[10].R. Kuksal, M. Vaqur, A. Bhatt, H. Chander and K. Joshi, "Stroke Disease Detection and
Prediction using Extreme Gradient Boosting," 2023 International Conference on Artificial Intelligence and Smart Communication
(AISC), Greater Noida, India, 2023, pp. 187-191, doi: 10.1109/AISC56616.2023.10085514.
10. R. Kuksal, M. Vaqur, A. Bhatt, H. Chander and K. Joshi, "Stroke Disease Detection and Prediction using Extreme Gradient Boosting,"
2023 International Conference on Artificial Intelligence and Smart Communication (AISC), Greater Noida, India, 2023, pp. 187-
191, doi: 10.1109/AISC56616.2023.10085514.
An Explainable and Exploratory Study With a Web Application for Early Intervention," in IEEE Access, vol. 11, pp. 52288-52308,
2023
2. S. Sakri et al., "An Improved Concatenation of Deep Learning Models for Predicting and Interpreting Ischemic Stroke," in IEEE
Access, vol. 12, pp. 53189-53204, 2024
3. S. Peñafiel, N. Baloian, H. Sanson and J. A. Pino, "Predicting Stroke Risk With an Interpretable Classifier," in IEEE Access, vol. 9,
pp. 1154-1166, 2021
4. M. Wang, X. Yao and Y. Chen, "An Imbalanced-Data Processing Algorithm for the Prediction of Heart Attack in Stroke Patients," in
IEEE Access, vol. 9, pp. 25394-25404, 2021
5. A. N. V. K. Swarupa, V. H. Sree, S. Nookambika, Y. K. S. Kishore and U. R. Teja, "Disease Prediction: Smart Disease Prediction
System using Random Forest Algorithm," 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies
(ICISSGT), Visakhapatnam, India, 2021
6. K. Kamata et al., "Development of stroke detection method by heart rate variability analysis and support vector machine," 2015 AsiaPacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), Hong Kong, China, 2015, pp.
1257-1261, doi: 10.1109/APSIPA.2015.7415475.
7. K. S. R. S, B. Chandra, K. Kausalya, C. RM and G. R. V, "Prognosis of Stroke using Machine Learning Algorithms," 2023 7th
International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2023, pp. 1-6, doi:
10.1109/ICCMC56507.2023.10084158.
8. M. Dahiya, N. Mishra, S. Agarwal and Z. Parveen, "Predicting the occurrence of Ischemic stroke by Gradient Boost Approaches,"
2023 4th International Conference on Intelligent Engineering and Management (ICIEM), London, United Kingdom, 2023, pp. 1-4,
doi: 10.1109/ICIEM59379.2023.10166287.
9. P. Gahiwad, N. Deshmane, S. Karnakar, S. Mali and R. Pise, "Brain Stroke Detection Using CNN Algorithm," 2023 IEEE 8th
International Conference for Convergence in Technology (I2CT), Lonavla, India, 2023, pp. 1-4, doi:
10.1109/I2CT57861.2023.10126125.[10].R. Kuksal, M. Vaqur, A. Bhatt, H. Chander and K. Joshi, "Stroke Disease Detection and
Prediction using Extreme Gradient Boosting," 2023 International Conference on Artificial Intelligence and Smart Communication
(AISC), Greater Noida, India, 2023, pp. 187-191, doi: 10.1109/AISC56616.2023.10085514.
10. R. Kuksal, M. Vaqur, A. Bhatt, H. Chander and K. Joshi, "Stroke Disease Detection and Prediction using Extreme Gradient Boosting,"
2023 International Conference on Artificial Intelligence and Smart Communication (AISC), Greater Noida, India, 2023, pp. 187-
191, doi: 10.1109/AISC56616.2023.10085514.
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