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Title: :  Predictive Analysis of Cardiovascular Health Through Machine  Learning.
PaperId: :  23660
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-23660
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Takbhate T.KMIT College Of Railway Engineering And Research, Barshi, Maharashtra, India,
Siddhant Amar SinghMIT College Of Railway Engineering And Research, Barshi, Maharashtra, India
Rohit Prakash GoreMIT College Of Railway Engineering And Research, Barshi, Maharashtra, India,
Aniket Anil KshirsagarMIT College Of Railway Engineering And Research, Barshi, Maharashtra, India,
Sumit Sanjay BhosleMIT College Of Railway Engineering And Research, Barshi, Maharashtra, India,

Abstract

Computer Engineering
Heart Disease Prediction, Machine Learning, Python, Data Preprocessing, Feature Engineering, Model Selection, Data Collection, Evaluation Metrics, Logistic Regression, Decision Trees, Random Forest, Support Vector Machines (SVM), Naive Bayes, K-Nearest Neighbors (KNN), Ensemble Learning.
The “Predictive Analysis of Cardiovascular Health Through Machine Learning” project ventures into the critical realm of Healthcare. Just as financial markets endeavor to predict the future value of stocks, this project aspires to preict something even more precious – the state of one’s cardiovascular health. Leveraging the power of machine learning, this undertaking explores the intricate web of factors influencing heart disease, aiming to offer early, accurate prediction and, consequently, lifesaving insights. The abstract heartbeats with the promise of a future where healthcare becomes increasingly proactive, where personalized assessments can identify before they manifest. Much like the stock market’s complexity, understanding the heart’s intricate dance with various variables presents formidable challenges. Nevertheless, the otential rewards are equally great – the possibility of intervening in heart disease, a leading cause of mortality worldwide. This projects’s significance transcends the confines of algorithms and datasets; it embodies the intersection of technology and human well-being, providing a compelling narrative of using advanced data analytics and predictive modeling to save lives. Just as stock proce predictions hold the key to finacials gains, here, we unlock the potential to predict and prevent cardiovascular ailments. The project exemplifies the potency of technology to illuminate the path towards better health and longevity. We also analyze the advantages and disadvantages of using machine learning in this context. By the end of this presentation, you will gain insights into the potential of machine learning to revolutionize heart disease diagnosis and contribute to better healthcare outcomes.

Citations

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IJARIIE Takbhate T.K, Siddhant Amar Singh, Rohit Prakash Gore, Aniket Anil Kshirsagar, and Sumit Sanjay Bhosle. "Predictive Analysis of Cardiovascular Health Through Machine  Learning." International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 375-384
MLA Takbhate T.K, Siddhant Amar Singh, Rohit Prakash Gore, Aniket Anil Kshirsagar, and Sumit Sanjay Bhosle. "Predictive Analysis of Cardiovascular Health Through Machine  Learning.." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 375-384.
APA Takbhate T.K, Siddhant Amar Singh, Rohit Prakash Gore, Aniket Anil Kshirsagar, & Sumit Sanjay Bhosle. (2024). Predictive Analysis of Cardiovascular Health Through Machine  Learning.. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 375-384.
Chicago Takbhate T.K, Siddhant Amar Singh, Rohit Prakash Gore, Aniket Anil Kshirsagar, and Sumit Sanjay Bhosle. "Predictive Analysis of Cardiovascular Health Through Machine  Learning.." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 375-384.
Oxford Takbhate T.K, Siddhant Amar Singh, Rohit Prakash Gore, Aniket Anil Kshirsagar, and Sumit Sanjay Bhosle. 'Predictive Analysis of Cardiovascular Health Through Machine  Learning.', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 375-384. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Predictive_Analysis_of__Cardiovascular_Health__Through_Machine _Learning__ijariie23660.pdf (Accessed : 26 May 2024).
Harvard Takbhate T.K, Siddhant Amar Singh, Rohit Prakash Gore, Aniket Anil Kshirsagar, and Sumit Sanjay Bhosle. (2024) 'Predictive Analysis of Cardiovascular Health Through Machine  Learning.', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 375-384IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Predictive_Analysis_of__Cardiovascular_Health__Through_Machine _Learning__ijariie23660.pdf (Accessed : 26 May 2024)
IEEE Takbhate T.K, Siddhant Amar Singh, Rohit Prakash Gore, Aniket Anil Kshirsagar, and Sumit Sanjay Bhosle, "Predictive Analysis of Cardiovascular Health Through Machine  Learning.," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 375-384, May-Jun 2024. [Online]. Available: http://ijariie.com/AdminUploadPdf/Predictive_Analysis_of__Cardiovascular_Health__Through_Machine _Learning__ijariie23660.pdf [Accessed : 26 May 2024].
Turabian Takbhate T.K, Siddhant Amar Singh, Rohit Prakash Gore, Aniket Anil Kshirsagar, and Sumit Sanjay Bhosle. "Predictive Analysis of Cardiovascular Health Through Machine  Learning.." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 (26 May 2024).
Vancouver Takbhate T.K, Siddhant Amar Singh, Rohit Prakash Gore, Aniket Anil Kshirsagar, and Sumit Sanjay Bhosle. Predictive Analysis of Cardiovascular Health Through Machine  Learning.. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 26 May 2024]; 10(3) : 375-384. Available from: http://ijariie.com/AdminUploadPdf/Predictive_Analysis_of__Cardiovascular_Health__Through_Machine _Learning__ijariie23660.pdf
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