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: :  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
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
PREDICTING NEONATAL CARDIAC ARREST IN THE CICU: A STATISTICAL MACHINE LEARNING APPROACH FOR EARLY INTERVENTIONINFORMATION TECHNOLOGYD Viswasahithya Download
AI DRIVEN CROP DISEASE PREDICTION BTech Information TechnologyRhishub Kamalakar Gawade Download
12