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Title: :  GUI BASED PREDICTION OF HEART STROKE STAGES BY SUPERVISED MACHINE LEARNING ALGORITHM
PaperId: :  11823
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 6 Issue 2 2020
DUI:    16.0415/IJARIIE-11823
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
M.MUTHUSELVIAnand institute of higher technology
S.SINDHUMATHIAnand institute of higher technology
R.SWETHAAnand institute of higher technology
MRS.K.AMSAVALLIAnand institute of higher technology

Abstract

Machine Learning
Data Set, Python, Prediction of Accuracy result.
Heart attacks diseases are considered as the most Prevalent. Stroke Prediction using patient treatment history and health data by applying data mining and machine learning techniques is ongoing struggle for the past decades. The traditional prescient models or methods are as yet not powerful enough in catching the hidden information since it is unequipped for reproducing the multifaceted nature on include portrayal of the therapeutic issue space. In existing system, Vascular state is determined by measuring changes in the pressure wave forms induced through intentional variation in the device generated blood flow.To overcome this problem, predictive analytical techniques for heart stroke using machine learning model applied on given hospital data set. The performance from the given hospital data set with evaluation of classification report and identify the confusion matrix. Focuses on the design of a graphical user interface (GUI) for the prediction of stroke using risk parameters. Data collected from Kaggle data set was successfully trained and tested using Supervised machine learning algorithm.To propose a machine learning-based method to accurately predict the heart stroke by given attributes in the form of best accuracy from comparing supervised classification machine learning algorithms. Additionally, to compare and discuss the performance of various machine learning algorithms from the given healthcare department data set with evaluation classification report, identify the confusion matrix . Result shows that the effectiveness of GUI based the proposed machine learning algorithm technique can be compared with best accuracy with precision, Recall and F1 Score.

Citations

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IJARIIE M.MUTHUSELVI, S.SINDHUMATHI, R.SWETHA, and MRS.K.AMSAVALLI. "GUI BASED PREDICTION OF HEART STROKE STAGES BY SUPERVISED MACHINE LEARNING ALGORITHM" International Journal Of Advance Research And Innovative Ideas In Education Volume 6 Issue 2 2020 Page 1269-1279
MLA M.MUTHUSELVI, S.SINDHUMATHI, R.SWETHA, and MRS.K.AMSAVALLI. "GUI BASED PREDICTION OF HEART STROKE STAGES BY SUPERVISED MACHINE LEARNING ALGORITHM." International Journal Of Advance Research And Innovative Ideas In Education 6.2(2020) : 1269-1279.
APA M.MUTHUSELVI, S.SINDHUMATHI, R.SWETHA, & MRS.K.AMSAVALLI. (2020). GUI BASED PREDICTION OF HEART STROKE STAGES BY SUPERVISED MACHINE LEARNING ALGORITHM. International Journal Of Advance Research And Innovative Ideas In Education, 6(2), 1269-1279.
Chicago M.MUTHUSELVI, S.SINDHUMATHI, R.SWETHA, and MRS.K.AMSAVALLI. "GUI BASED PREDICTION OF HEART STROKE STAGES BY SUPERVISED MACHINE LEARNING ALGORITHM." International Journal Of Advance Research And Innovative Ideas In Education 6, no. 2 (2020) : 1269-1279.
Oxford M.MUTHUSELVI, S.SINDHUMATHI, R.SWETHA, and MRS.K.AMSAVALLI. 'GUI BASED PREDICTION OF HEART STROKE STAGES BY SUPERVISED MACHINE LEARNING ALGORITHM', International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, 2020, p. 1269-1279. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/GUI_BASED_PREDICTION_OF_HEART_STROKE_STAGES_BY_SUPERVISED_MACHINE_LEARNING_ALGORITHM_ijariie11823.pdf (Accessed : 24 April 2020).
Harvard M.MUTHUSELVI, S.SINDHUMATHI, R.SWETHA, and MRS.K.AMSAVALLI. (2020) 'GUI BASED PREDICTION OF HEART STROKE STAGES BY SUPERVISED MACHINE LEARNING ALGORITHM', International Journal Of Advance Research And Innovative Ideas In Education, 6(2), pp. 1269-1279IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/GUI_BASED_PREDICTION_OF_HEART_STROKE_STAGES_BY_SUPERVISED_MACHINE_LEARNING_ALGORITHM_ijariie11823.pdf (Accessed : 24 April 2020)
IEEE M.MUTHUSELVI, S.SINDHUMATHI, R.SWETHA, and MRS.K.AMSAVALLI, "GUI BASED PREDICTION OF HEART STROKE STAGES BY SUPERVISED MACHINE LEARNING ALGORITHM," International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, pp. 1269-1279, Mar-App 2020. [Online]. Available: https://ijariie.com/AdminUploadPdf/GUI_BASED_PREDICTION_OF_HEART_STROKE_STAGES_BY_SUPERVISED_MACHINE_LEARNING_ALGORITHM_ijariie11823.pdf [Accessed : 24 April 2020].
Turabian M.MUTHUSELVI, S.SINDHUMATHI, R.SWETHA, and MRS.K.AMSAVALLI. "GUI BASED PREDICTION OF HEART STROKE STAGES BY SUPERVISED MACHINE LEARNING ALGORITHM." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 6 number 2 (24 April 2020).
Vancouver M.MUTHUSELVI, S.SINDHUMATHI, R.SWETHA, and MRS.K.AMSAVALLI. GUI BASED PREDICTION OF HEART STROKE STAGES BY SUPERVISED MACHINE LEARNING ALGORITHM. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2020 [Cited : 24 April 2020]; 6(2) : 1269-1279. Available from: https://ijariie.com/AdminUploadPdf/GUI_BASED_PREDICTION_OF_HEART_STROKE_STAGES_BY_SUPERVISED_MACHINE_LEARNING_ALGORITHM_ijariie11823.pdf
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