Intelligent predictions of Covid disease based on lung CT images using machine learning strategy.

Covid or Corona Virus, a term ruling the world from past two years and causes a huge destruction in all countries. One of the most important Covid disease identification method is Lung based Computed Tomography (CT) image scanning, in which it provides an effective disease identification means in clear manner. However, this Lung CT image based disease detection principles are complex to health care representatives and doctors to predict the Covid disease accurately. Several manual errors and medical flaws are raised day-by-day, so that a new systematic methodology is required to identify the Covid disease effectively with respect to machine learning principles. The machine learning principles are most popular to identify the respective disease efficiently as well as classify the disease in accurate manner without any time consumption. The infected portions of the chest are identified accurately and report to the respective person without any delay. In this paper, a new machine learning strategy is introduced called Hybrid Disease Detection Principle (HDDP), in which it is derived from the two classical machine learning algorithms called Convolutional Neural Network (CNN) and the AdaBoost Classifier. Both these algorithms are integrated together to produce a new strategy called HDDP, in which it process the lung CT image based on the machine learning factors such as pre-processing, feature extraction and classification. Based on these effective image processing strategies the proposed algorithm handles the CT images to predict the Covid disease and report to the respective user with proper accuracy ratio. This paper intends to provide effcient disease predictions as well as provide a sufficient support to medical people and patients in fine manner to assist them with modern classification algorithms.

A predictive analysis on annoyance of work environmental factors and its impact on the employees of private organizations during covid-19

Stress and Stressors are common to any human being;it is a concern as it affects a person physically, psychologically and biologically. Stress is created at the workplace due to factors such as heavy workload, continuous working hours without proper rest, improper decision making, lack of proper leadership and above all, poor inter-relationship among all sectors. Continuous stressors result in deterioration of health affecting the health of the employee. They affect the well-being of the employees. These stressors harm the individual’s productivity at the workplace which affects the development and the progress of the organization. This study attempts to highlight the stressors due to work environmental factors that play a vital role on the employees of the private organizations in the workplace.The tool that was carried for analysis was a structuredclose-ended questionnaire containing of 5vital factors covering the scope of the study. They are categorized on a 5-point Likert-scale starting from a maximum of 5 points for Strongly Agree to a minimum of 1 point for Strongly Disagree. The data was obtained on a sample of 60 respondents belonging to employees of 5 private companies in Chennai.Thefindings obtained were examined using statistical techniques such as Mean, Standard Deviation, and t-Test. © 2021, Annals of R.S.C.B. All rights reserved.