Abstract :

The Present Paper Contains A Relative Regression Analysis Of The Results Of The Predictions Of The Traditional Mathematical Models With The Results Of The Predictions Of The So-called Artificial Neural Network (ANN) Related To The Estimation Of The Quantity Of Oq, Which Is One Of The Fundamental Parameters To Assess The Occupational Safety And Environmental Parameters. The Analysis Seeks To Evaluate The Validity, Adaptability, And Predictive Effectiveness Of The Two Methods In Predicting Complex Real-life Systems That Have A Dangerous Exposure To Healthcare Set Ups. The Occupational Safety And Health Act (OSHA) -India Is A Historical Policy Initiative Based On Which The Present Analysis Is Motivated Because Of The Historical Efforts On Policy Formulation In General And Healthcare In Particular, Where Medical Waste And Hazardous Materials Become Occupational Hazards. Model Performance Is Evaluated Through Such Statistical Variable, Like R 2, RMSE And MAE. The Research Results Will Support The Design Of Smart Policies, Predictive-based Measures And Mitigation Measures. Keywords: Occupational Safety, Regression Analysis, Artificial Neural Networks (ANN), Mathematical Modeling, Medical Waste, Oq Prediction, COSHH, OSHA India, Healthcare Safety.

Published:

18-8-2022

Issue:

Vol. 22 No. 8 (2022)

Page Nos:

58-67

Section:

Articles

License:

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

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