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Title: :  EARLY BRAIN STROKE PREDICTION USING MACHINE LEARNING ALGORITHMS
PaperId: :  22861
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22861
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Nagaraju. SontiVasireddy Venkatadri Institute of Technology
Challa Karthik ReddyVasireddy Venkatadri Institute of Technology
Devireddy Venkata Siva ReddyVasireddy Venkatadri Institute of Technology
Gunda NarendraVasireddy Venkatadri Institute of Technology
Chintalapudi Nageswara RaoVasireddy Venkatadri Institute of Technology

Abstract

MACHINE LEARNING
K-nearest neighbour, decision trees, logistic regression, SVM, Random Forest, AdaBoost, and Bernoulli navie bayes
A brain stroke is a serious medical emergency that can have life-altering or permanently crippling effects. Cell death due to inadequate blood supply to the brain causes it to happen. In India, the annual incidence of stroke stands at 141 per 100,000 people. Predicting early brain strokes has become increasingly challenging, requiring time-consuming assessments. Given the life-or-death nature of stroke diagnoses and prognoses, precision and accuracy are crucial. Machine learning techniques offer a means to predict stroke issues by analyzing extensive medical data. By leveraging a substantial dataset for training and testing, the study assesses the predictive capabilities of various machine learning methods. A few examples of these techniques are K-nearest neighbour, decision trees, logistic regression, SVMs, Random Forest, AdaBoost, and Bernoulli navie bayes. The research assesses the efficacy of the model by means of the F1 score, Accuracy, Precision, and Recall, which are extracted from the confusion matrix. A web application will be developed, enabling users to input relevant parameters. Using this Flask-based application, the model processes these parameters. This approach, powered by the most accurate and effective method, can predict the likelihood of strokes.

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IJARIIE Nagaraju. Sonti, Challa Karthik Reddy, Devireddy Venkata Siva Reddy, Gunda Narendra, and Chintalapudi Nageswara Rao. "EARLY BRAIN STROKE PREDICTION USING MACHINE LEARNING ALGORITHMS" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 1020-1030
MLA Nagaraju. Sonti, Challa Karthik Reddy, Devireddy Venkata Siva Reddy, Gunda Narendra, and Chintalapudi Nageswara Rao. "EARLY BRAIN STROKE PREDICTION USING MACHINE LEARNING ALGORITHMS." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 1020-1030.
APA Nagaraju. Sonti, Challa Karthik Reddy, Devireddy Venkata Siva Reddy, Gunda Narendra, & Chintalapudi Nageswara Rao. (2024). EARLY BRAIN STROKE PREDICTION USING MACHINE LEARNING ALGORITHMS. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 1020-1030.
Chicago Nagaraju. Sonti, Challa Karthik Reddy, Devireddy Venkata Siva Reddy, Gunda Narendra, and Chintalapudi Nageswara Rao. "EARLY BRAIN STROKE PREDICTION USING MACHINE LEARNING ALGORITHMS." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 1020-1030.
Oxford Nagaraju. Sonti, Challa Karthik Reddy, Devireddy Venkata Siva Reddy, Gunda Narendra, and Chintalapudi Nageswara Rao. 'EARLY BRAIN STROKE PREDICTION USING MACHINE LEARNING ALGORITHMS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 1020-1030. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/EARLY_BRAIN_STROKE_PREDICTION_USING_MACHINE_LEARNING_ALGORITHMS_ijariie22861.pdf (Accessed : ).
Harvard Nagaraju. Sonti, Challa Karthik Reddy, Devireddy Venkata Siva Reddy, Gunda Narendra, and Chintalapudi Nageswara Rao. (2024) 'EARLY BRAIN STROKE PREDICTION USING MACHINE LEARNING ALGORITHMS', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 1020-1030IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/EARLY_BRAIN_STROKE_PREDICTION_USING_MACHINE_LEARNING_ALGORITHMS_ijariie22861.pdf (Accessed : )
IEEE Nagaraju. Sonti, Challa Karthik Reddy, Devireddy Venkata Siva Reddy, Gunda Narendra, and Chintalapudi Nageswara Rao, "EARLY BRAIN STROKE PREDICTION USING MACHINE LEARNING ALGORITHMS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 1020-1030, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/EARLY_BRAIN_STROKE_PREDICTION_USING_MACHINE_LEARNING_ALGORITHMS_ijariie22861.pdf [Accessed : ].
Turabian Nagaraju. Sonti, Challa Karthik Reddy, Devireddy Venkata Siva Reddy, Gunda Narendra, and Chintalapudi Nageswara Rao. "EARLY BRAIN STROKE PREDICTION USING MACHINE LEARNING ALGORITHMS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Nagaraju. Sonti, Challa Karthik Reddy, Devireddy Venkata Siva Reddy, Gunda Narendra, and Chintalapudi Nageswara Rao. EARLY BRAIN STROKE PREDICTION USING MACHINE LEARNING ALGORITHMS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 1020-1030. Available from: https://ijariie.com/AdminUploadPdf/EARLY_BRAIN_STROKE_PREDICTION_USING_MACHINE_LEARNING_ALGORITHMS_ijariie22861.pdf
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