Prediction of ARDS Syndrome and CAD Using Multilayer Perceptron

Authors

  • M. Mohanasundari  Department of CSE, Velalar College of Engineering and Technology, Erode, Tamil Nadu, India
  • Prasanth. S  PG Scholar, Department of CSE, Velalar College of Engineering and Technology, Erode, Tamil Nadu, India

DOI:

https://doi.org//10.32628/IJSRST207225

Keywords:

Multilayer perceptron, MIMIC database, medical datasets,preprocessing,value imputation

Abstract

Acute Respiratory Distress Syndrome (ARDS) and Coronary artery heart Disease (CAD) isa critical condition occurring in ill patients. Our proposed system is to predict ARDS and CAD in hospitalized patients using only physiological signals as heart rate and breathing rate. This based on hypothesis testing is developed to detect whether subjects signals deviate from their initial states. The approach is applied on mechanically ventilated subjects in the MIMIC II database. Hybrid method for CAD diagnosis, including risk factor identification using correlation based feature subset selection with particle swam optimization search method and K-Means clustering algorithms. This proposed system is increasing the efficiency and accuracy of predicting the ARDS and CAD diseases.

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International Journal of Scientific Research in Science and Technology

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Published

2020-04-30

Issue

Volume 7, Issue 2, March-April-2020

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
M. Mohanasundari, Prasanth. S, " Prediction of ARDS Syndrome and CAD Using Multilayer Perceptron, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 7, Issue 2, pp.90-96, March-April-2020. Available at doi : https://doi.org/10.32628/IJSRST207225