Call for Papers:Vol.11 Issue.5

Submission
Last date		 28-Oct-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-5. 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: :  PERFORMANCE ANALYSIS OF HEART DISEASE PREDICTION
PaperId: :  19412
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-19412
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
ARYA N MBANNARI AMMAN INSTITUTE OF TECHNOLOGY
ASHOK KUMAR GBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

Information Technology
Morbidity, Arteria coronary, LIGHTGBM, Respiratory infections.
Heart disease is a major cause of morbidity and mortality globally, and early detection is crucial for effective management. Models for machine learning have been created to aid in the prediction of heart disease, with LightGBM being one such model. This study aims to analyse the effectiveness of LightGBM in predicting heart disease. LightGBM was implemented using Python, and the model was trained using the drill set. The model's performance was evaluated using several metrics such as recall, accuracy, and precision F1 score, and region underneath the receiver operating characteristic (ROC) curve.This research shows that LightGBM is an effective model for predicting heart disease. Further studies could be conducted to assess the model's performance on larger datasets and to compare it to other performances machine learning mode. One of the most common most common diseases worldwide, and many people have died as a result of it. Diseases may have an impact on people both physically and emotionally, since getting and living with an illness can change a person's outlook on life. An illness that affects several areas of an organism yet is not caused by an instant exterior damage. Diseases are frequently defined as medical disorders characterised by distinct symptoms and indicators. The most lethal illnesses in humans are arteria coronary disease (blood flow blockage), cerebrovascular disease, and lower respiratory infections. Heart disease is the most unexpected and unpredictability. With machine learning, we can anticipate cardiac disease. To get high efficiency output, we employ Convolutional Neural Network approaches.

Citations

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

IJARIIE ARYA N M, and ASHOK KUMAR G. "PERFORMANCE ANALYSIS OF HEART DISEASE PREDICTION" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 617-626
MLA ARYA N M, and ASHOK KUMAR G. "PERFORMANCE ANALYSIS OF HEART DISEASE PREDICTION." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 617-626.
APA ARYA N M, & ASHOK KUMAR G. (2023). PERFORMANCE ANALYSIS OF HEART DISEASE PREDICTION. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 617-626.
Chicago ARYA N M, and ASHOK KUMAR G. "PERFORMANCE ANALYSIS OF HEART DISEASE PREDICTION." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 617-626.
Oxford ARYA N M, and ASHOK KUMAR G. 'PERFORMANCE ANALYSIS OF HEART DISEASE PREDICTION', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 617-626. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/PERFORMANCE_ANALYSIS_OF_HEART_DISEASE_PREDICTION_ijariie19412.pdf (Accessed : 22 May 2025).
Harvard ARYA N M, and ASHOK KUMAR G. (2023) 'PERFORMANCE ANALYSIS OF HEART DISEASE PREDICTION', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 617-626IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/PERFORMANCE_ANALYSIS_OF_HEART_DISEASE_PREDICTION_ijariie19412.pdf (Accessed : 22 May 2025)
IEEE ARYA N M, and ASHOK KUMAR G, "PERFORMANCE ANALYSIS OF HEART DISEASE PREDICTION," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 617-626, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/PERFORMANCE_ANALYSIS_OF_HEART_DISEASE_PREDICTION_ijariie19412.pdf [Accessed : 22 May 2025].
Turabian ARYA N M, and ASHOK KUMAR G. "PERFORMANCE ANALYSIS OF HEART DISEASE PREDICTION." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 (22 May 2025).
Vancouver ARYA N M, and ASHOK KUMAR G. PERFORMANCE ANALYSIS OF HEART DISEASE PREDICTION. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 22 May 2025]; 9(2) : 617-626. Available from: https://ijariie.com/AdminUploadPdf/PERFORMANCE_ANALYSIS_OF_HEART_DISEASE_PREDICTION_ijariie19412.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 5/22/2025 2:43:32 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
SMART EXPIRY DATE TRACKER WITH FOOD RECOMMENDATIONSInformation Science and EngineeringMr Pradeep Nayak Download
A REVIEW ON ABSTRACTIVE MEETING SUMMARIZATION: TOWARDS SMARTER MEETING ASSISTANTSInformation Science and EngineeringKratika Sudarshan Halankar Download
A Review on Smart Appointment Scheduling Systems for Modern Hospital ManagementInformation Science and EngineeringDivya S Nayak Download
A Comprehensive Review of AI-Powered Resume Screening and Analysis SystemsInformation Science and EngineeringMr NAGESH U B Download
Stock Data Prediction and Visualization using Advanced Learning and Dash FrameworkInformation on Science and EngineeringMr Mounesh Download
BLOOD BANK AND DONOR MANAGEMENT SYSTEMInformation Science and Engineering Mr. Mounesh A Download
Fake products Detection using Block chain TechnologyBlock ChainAmbarish Vijayakumar Nimbaragi Download
smart agriculture system using artificial Intelligence and IOTInternet of ThingsAkshath AD Download
Exploring the Factors that Contribute to the Success of Startups in the Digital Age in BangaloreComputer Science and Engineering / Entrepreneurship & InnovationChandru.M Download
Climate Change Impact Analysis Using Data Science TechniquesData Science EngneeringVamsi Devanaboyina Download
BRIDGING THE DIGITAL DIVIDE: SCHOOL LEADERS' EXPERIENCES IN MONITORING THE IMPLEMENTATION OF TECHNOLOGY-ENHANCED LEARNINGDEPEDFRELIPACAR B. GUCOR Download
QUANTIFYING THE EFFECTS OF EMOTIVE VS. DENOTATIVE LANGUAGE PROMPTS ON CHATGPT-3.5 RESPONSES: INSIGHTS FROM UTA STUDENTSTechnology in EducationMohamed Ataieb Hmouma Download
The Farmer PortalInformation TechnologySakshi Yede Download
DYNAMIC MULTI-KEY AUTHENTICATION FOR IOT SYSTEM USING SECURE VAULTSInformation Science EngineeringVinay M G Download
Eye Glaucoma Detection Using Machine LearningInformation Science & Engineering Uday M B Download
12