Predicting Cardiac Arrest using a Multi-Layer Perceptron Classifier in Python

Authors

  • Ch. Sahyaja Assistant Professor, GITAM school of business, GITAM University, Hyderabad
  • Sravani Maddala Assistant Professor, Department of Business Management, Krishna University, Machilipatnam Krishna (District), Andhra Pradesh India Pin: 521004
  • M. Thyagaraju Assistant Professor, Department of MBA-Tourism Management, Vikrama Simhapuri University Nellore, Kakutur (Post), Andhra Pradesh, India Pin: 524324
  • M. Pragnashree Assistant Professor, Department of Management Studies,Sri Venkateswara college of Engineering and Technology ( Autonomous) , R.V.S.Nagar, Chittoor. Andhra Pradesh, India
  • Venkateswarlu Chandu Assistant Professor, KL Business School, Koneru Lakshmaiah Education Foundation Greenfields, Vaddeswaraam, AP
  • K. Pradeep Reddy Associate Professor, School of Management, SAGE University,Bhopal
  • G. Rakesh Naidu Assistant Professor,Department of Marketing ,GITAM school of Business ,GITAM Deemed to be University,Hyderabad.

Keywords:

Heart, Failure Prediction, MLP Classifier, Python, Sampling technique

Abstract

This study focusses on heart failure prediction using MLP classifier in python and the data is collected from Kaggle to train the model with the help of secondary sources. And the primary data “test data” is collected from the hospitals around the Vijayawada. A sample size of 120 respondents were taken to make prediction of heart failure. The sampling technique used in the study is Judgement or purposive Sampling technique. And the techniques used in this study are 1.MLP Classification;2. Supervised, 3. Pandas Profiling report. The main Objective of the study is “A Study on Heart Failure Prediction using MLP Classifier in    python”. The contribution of the Study is to help the doctors to predict the patient’s death event by the heart failure condition or cardio vascular disease and also to prevent the people from to getting heart failure.

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Published

11.07.2023

How to Cite

Sahyaja, C. ., Maddala, S. ., Thyagaraju, M. ., Pragnashree , M. ., Chandu, V. ., Reddy , K. P. ., & Naidu , G. R. . (2023). Predicting Cardiac Arrest using a Multi-Layer Perceptron Classifier in Python. International Journal of Intelligent Systems and Applications in Engineering, 11(9s), 307–316. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3121

Issue

Vol. 11 No. 9s (2023)

Section

Research Article

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