Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  PREDICTION OF CARDIOVASCULAR DISEASE USING GRADIENT BOOSTING
PaperId: :  19296
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19296
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Gurappagari Likhith SaiB V Raju Institute of Technology
Kathi VenuB V Raju Institute of Technology
Dr .R .Venkata Ramana CharyB V Raju Institute of Technology

Abstract

Information Technology
Cardio vascular disease, Gradient boosting, Patients health records
The modern civilization has extreme edge of advancements in the medical industry which acts like a backbone of evolution and technology. This decade of regime had a count of estimated 17.5 million deaths by 2012 with cardiovascular diseases. CVD is considered to be one of the main reasons of death all around the world. The prediction of CVD at an early stage may lower these rates. Heart monitoring is one of the most important aspect of healthcare monitoring. For detecting risk indicators, machine learning algorithms are a potential way. To acquire accurate cardiac disease prediction, this work introduces a gradient boosting (GB) approach. The aim of this project is to use the Machine Learning (ML) technology on medical data to predict the chance of CVD. The medical data available these days is often a valuable resource of quality information. This project aims to use supervised machine learning algorithms like Gradient Boosting, Logistic Regression, Decision Tree to obtain a CVD classifier. However, the challenge usually lies in the quantum of the data since there aren’t many datasets available regarding CVD, the correlations and the accuracy of the model when it comes to prediction using conventional techniques. This project proposes the use multiple datasets available in UCI repository namely Cleveland, Hungary, Statlog, Long Beach, Switzerland in deriving classifiers using above mentioned algorithms. The classifiers obtained using the datasets are then used to build a web application for users for them to know whether they are vulnerable to CVD or not based upon the details provided by them as input i.e., features that are used in classification of CVD. Depending on the prediction of the model the output is provided to the user, according to which the user should undergo lifestyle changes. The final goal is identification of the possibility of heart disease that can reduce the risk of mortality from cardiovascular disease (CVD).

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Gurappagari Likhith Sai, Kathi Venu, and Dr .R .Venkata Ramana Chary. "PREDICTION OF CARDIOVASCULAR DISEASE USING GRADIENT BOOSTING" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 1460-1465
MLA Gurappagari Likhith Sai, Kathi Venu, and Dr .R .Venkata Ramana Chary. "PREDICTION OF CARDIOVASCULAR DISEASE USING GRADIENT BOOSTING." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 1460-1465.
APA Gurappagari Likhith Sai, Kathi Venu, & Dr .R .Venkata Ramana Chary. (2023). PREDICTION OF CARDIOVASCULAR DISEASE USING GRADIENT BOOSTING. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 1460-1465.
Chicago Gurappagari Likhith Sai, Kathi Venu, and Dr .R .Venkata Ramana Chary. "PREDICTION OF CARDIOVASCULAR DISEASE USING GRADIENT BOOSTING." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 1460-1465.
Oxford Gurappagari Likhith Sai, Kathi Venu, and Dr .R .Venkata Ramana Chary. 'PREDICTION OF CARDIOVASCULAR DISEASE USING GRADIENT BOOSTING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 1460-1465. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/PREDICTION_OF_CARDIOVASCULAR_DISEASE_USING_GRADIENT_BOOSTING_ijariie19296.pdf (Accessed : 06 November 2023).
Harvard Gurappagari Likhith Sai, Kathi Venu, and Dr .R .Venkata Ramana Chary. (2023) 'PREDICTION OF CARDIOVASCULAR DISEASE USING GRADIENT BOOSTING', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 1460-1465IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/PREDICTION_OF_CARDIOVASCULAR_DISEASE_USING_GRADIENT_BOOSTING_ijariie19296.pdf (Accessed : 06 November 2023)
IEEE Gurappagari Likhith Sai, Kathi Venu, and Dr .R .Venkata Ramana Chary, "PREDICTION OF CARDIOVASCULAR DISEASE USING GRADIENT BOOSTING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 1460-1465, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/PREDICTION_OF_CARDIOVASCULAR_DISEASE_USING_GRADIENT_BOOSTING_ijariie19296.pdf [Accessed : 06 November 2023].
Turabian Gurappagari Likhith Sai, Kathi Venu, and Dr .R .Venkata Ramana Chary. "PREDICTION OF CARDIOVASCULAR DISEASE USING GRADIENT BOOSTING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 (06 November 2023).
Vancouver Gurappagari Likhith Sai, Kathi Venu, and Dr .R .Venkata Ramana Chary. PREDICTION OF CARDIOVASCULAR DISEASE USING GRADIENT BOOSTING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 06 November 2023]; 9(2) : 1460-1465. Available from: https://ijariie.com/AdminUploadPdf/PREDICTION_OF_CARDIOVASCULAR_DISEASE_USING_GRADIENT_BOOSTING_ijariie19296.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 11/6/2023 8:14:11 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
DYNAMIC MULTI-KEY AUTHENTICATION FOR IOT SYSTEM USING SECURE VAULTSInformation Science EngineeringVinay M G Download
INTEGRATING THE FLIPPED CLASSROOM MODEL WITH PROJECT-BASED LEARNING IN TEACHING MICROSOFT POWERPOINT: A CASE STUDY AT THE UNIVERSITY OF AGRICULTURE AND FORESTRY, THAI NGUYEN UNIVERSITYEducationNguyen Ngoc Lan Download
Eye Glaucoma Detection Using Machine LearningInformation Science & Engineering Uday M B Download
The Shift to Electronic Payment Methods in Commercial Banks: Benefits and ChallengesDigital BankingEssam Zaid Shoaib Al-Dabbashi Download
DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTSInformation TechnologyBHUKYA RAJAKUMAR Download
REAL TIME EMERGENCY VEHICLE DETECTION USING MACHINE LEARNINGComputer Science and EngineeringAravinthkumar A Download
COLLEGIUMBOT: AN AI-DRIVEN CHATBOT FOR ENHANCING STUDENT ENGAGEMENT AND CAMPUS LIFE THROUGH VOICE-BASED INTERACTIONInformation TechnologySIVASANKAR CHITTOOR Download
AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKSInformation TechnologyT SUNDARARAJULU Download
BLOOD GROUP DETECTION USING FINGERPRINTInformation TechnologyN ANITHA Download
SOLAR RADIATION PREDICTION USING MACHINE LEARNINGInformation TechnologyM RAM KUMAR Download
DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAININFORMATION TECHNOLOGYT.SUNDARARAJULU. Download
DEEP CONVOLUTIONAL NEURAL NETWORK FOR ROBUST DETECTION OF OBJECT-BASED FORGERIES IN ADVANCED VIDEOINFORMATION TECHNOLOGYD.VISWASAHITYA Download
SMART CAR PRICE PREDICTOR USING MACHINE LEARNINGINFORMATION TECHNOLOGYS.JASMIN Download
SUPERVISED LEARNING MODEL INSIGHTS AND EVALUATIONInformation TechnologyB. RAJA KUMAR Download
Enhancing Forensic Data Protection: A Robust Storage Framework with Verified Access and Intelligent Key-Based EncryptionComputer Science EngineeringN ANITHA Download
12