Novel Medical Interactive System using Principal Component Analysis Comparing with Stochastic Processes

This paper aims to develop a Novel Medical Interactive System between doctor and patient for a hospital management system by improvising chat and file transfer efficiency between the users (doctor and patient). Implementation of Novel Medical Interactive system using principal component analysis to overcome the drawbacks of the stochastic process. Materials and methods: Novel interactive system between multiple users (doctor and patient) for the hospital management system with the sample size 700, made possible using principal component analysis. It has been carried out with the help of creating a web application and file transfer mechanism in the communication system implemented in python using anaconda navigator tool. Result: The analysis provides a novel medical interactive system for the hospital management with the better time efficiency of 91% improvisation in time efficiency and correctness of the data input transferred, compared to stochastic process with 62% time efficiency. With the level of significance to be 0.5 (
$\mathrm{p} > 0.05$
), the resultant data depicts the reliability in independent sample t-tests. Conclusion: To enhance the interactive system between doctor and patient, a communication system has been implemented using principal component analysis which is more significant than a stochastic process in terms of time efficiency.