Call for Papers:Vol.12 Issue.2

Submission
Last date		 28-Apr-2026
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-12,Issue-2. 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: :  Machine Learning Applications for Heart Disease Prediction
PaperId: :  20942
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20942
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Nikhil Nana MahajanASM Institute of Management & Computer Studies College
Abhishek Rajendra PatilASM Institute of Management & Computer Studies College

Abstract

Computer Science
Machine Learning, Heart Disease, Prediction, Detection, Naïve Bayes
Heart disease cases are rising quickly every day, so it's crucial and worrisome to anticipate any potential illnesses in advance. This diagnosis is a challenging job that requires accuracy and efficiency. The primary focus of the study paper is on which patients, given different medical characteristics, are more likely to have heart disease. Using the patient's medical history, we developed a method to determine whether a heart disease diagnosis is probable or not for the patient. To forecast and categorize the patient with heart disease, we used a variety of machine learning algorithms, including KNN and logistic regression. The regulation of how the model can be used to increase the precision of heart attack prediction in any person was done in a very helpful way. When compared to the previously employed classifiers, such as naive bayes, etc., the suggested model's accuracy in predicting signs of having heart disease in a specific person was quite satisfactory. It did this by using KNN and Logistic Regression. Thus, using the provided model to determine the likelihood that the classifier will correctly and reliably recognize heart disease has relieved quite a bit of pressure. Given's system for predicting heart disease improves patient treatment while costing less. This research has provided us with a wealth of information that can be used to predict who will develop heart disease. It utilizes the .pynb file type.

Citations

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

IJARIIE Nikhil Nana Mahajan, and Abhishek Rajendra Patil. "Machine Learning Applications for Heart Disease Prediction" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 4748-4753
MLA Nikhil Nana Mahajan, and Abhishek Rajendra Patil. "Machine Learning Applications for Heart Disease Prediction." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 4748-4753.
APA Nikhil Nana Mahajan, & Abhishek Rajendra Patil. (2023). Machine Learning Applications for Heart Disease Prediction. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 4748-4753.
Chicago Nikhil Nana Mahajan, and Abhishek Rajendra Patil. "Machine Learning Applications for Heart Disease Prediction." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 4748-4753.
Oxford Nikhil Nana Mahajan, and Abhishek Rajendra Patil. 'Machine Learning Applications for Heart Disease Prediction', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 4748-4753. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Machine_Learning_Applications_for_Heart_Disease_Prediction_ijariie20942.pdf (Accessed : 28 October 2024).
Harvard Nikhil Nana Mahajan, and Abhishek Rajendra Patil. (2023) 'Machine Learning Applications for Heart Disease Prediction', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 4748-4753IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Machine_Learning_Applications_for_Heart_Disease_Prediction_ijariie20942.pdf (Accessed : 28 October 2024)
IEEE Nikhil Nana Mahajan, and Abhishek Rajendra Patil, "Machine Learning Applications for Heart Disease Prediction," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 4748-4753, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Machine_Learning_Applications_for_Heart_Disease_Prediction_ijariie20942.pdf [Accessed : 28 October 2024].
Turabian Nikhil Nana Mahajan, and Abhishek Rajendra Patil. "Machine Learning Applications for Heart Disease Prediction." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 (28 October 2024).
Vancouver Nikhil Nana Mahajan, and Abhishek Rajendra Patil. Machine Learning Applications for Heart Disease Prediction. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 28 October 2024]; 9(3) : 4748-4753. Available from: https://ijariie.com/AdminUploadPdf/Machine_Learning_Applications_for_Heart_Disease_Prediction_ijariie20942.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 10/28/2024 4:39:31 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Smart E-Healthcare SystemComputer EngineeringVattikoti Sai Download
SURVEY ON RETAIL INSIGHT GENERATOR: VISION AI FOR CUSTOMER ANALYTICS AND HEATMAPSComputer EngineeringAmalkrishna K B Download
SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEMComputer science Athira Thomas Download
Consumer Behavioural Analysis Using Advanced Clustering TechniquesComputer Science and EngineeringSupriya Thati Download
Predicting Stock Market Trends using Deep Learning TechniquesComputer Science and EngineeringAkruthi Shere Download
A SURVEY ON SMART VOTING SYSTEM USING BLOCKCHAINComputer Science EngineeringAleena Shaju Download
A SURVEY ON SECURESCAN 360: CYBER INTEGRATED SYSTEM FOR THREAT DETECTION AND IMAGE AUTHENTICATIONComputer Science and EngineeringAparna Sunil Download
Efficient Use of Dialog Boxes in GUI Development using VB.NETComputer ScienceDR. RISHI MATHUR Download
A SURVEY ON HOPEBITE: AI-POWERED SMART FOOD DISTRIBUTION FOR COMMUNITIES IN NEEDComputer Science and EngineeringJUGAL KRISHNA V S Download
A SURVEY ON ACCIDENT DETECTION AND AUTOMATED EMERGENCY NOTIFICATION SYSTEM USING YOLO V8Computer EngineeringVipin Varghese Download
INVISIBLE DISABILITY AND ROUTINE WELLNESS TRACKERComputer Science and EngineeringAnna Rose Poly Download
A SURVEY ON AI POWERED SELF HEALING CODE DEBUGGERComputer EngineeringNandana Shibu Download
MULTIPLE DISEASE PREDICTION AND DRUG RECOMMENDATION SYSTEM USING MACHINE LEARNINGCOMPUTER ENGINEERING DR. J. AMUTHARAJ Download
SOLAR TRACKING SYSTEM WITH WEATHER FORECASTING AND AUTOMATED CLEANING SYSTEMArtificial Intelligence Electrical and Electronics EngineeringVanarasan S Download
ASD PredictionComputer scienceAbhilasha M Download
12