ABSTRACT
To assist the judgment of human operators, computer-aided drug dispensing system with adaptive and predictive control. The assisting system can predict future responses of patient to drug infusion calculate optimal inputs and present that value on a monitor. Regardless of sudden disturbance such as bleeding. Human operators of the computer-aided system were able to control arterial blood pressure.
To improve the computer-aided system. Future studies will be required to consider the method for emergency warning or correspondence to multiple drug infusions.
Keywords: Adaptive predictive control, computer-aided system, neural network, arterial blood pressure, system evaluation accomplished physicians.
1. For example, it is difficult for beginners to appropriately grasp the characteristics of drug responses reflecting the history of past inputs and output or to respond to acute emergency such as bleeding. Therefore, the effectiveness of intelligent control system may apply to the quick decision making of experienced beginners. A computer-aided drug dispensing system using adaptive and predictive control was suggested in this study: effectiveness was evaluated in human operators. In blood pressure control using a single drug, the learning effect of the assistant system on beginners without pharmacological knowledge was investigated.
2. The accuracy of knowledge of drug and it usage. Acute emergency was assessed using the assistant system.
TABLE OF CONTENT
Title page
Certification
Dedication
Acknowledgement
Abstract
Table of content
CHAPTER ONE: INTRODUCTION
Introduction
1.0 Aims and Objectives
1.1 Significance of study
1.2 Justification of study
1.3 Limitation of study
1.4 Scope of study
1.5 Benefit/advantages of the study
CHAPTER TWO
1.0 Literature Review
1.1 Obstacles and pitfall
CHAPTER THREE
3.0 System analysis and design
3.1 Operation of existing system
3.2 Analysis and findings
3.3 Design methodology
3.4 Design flow (Representation of design)/model
3.5 Inputs
3.6 Outputs
3.7 Processing Tasks
CHAPTER FOUR
4.0 System development and Implementation
4.1 Input design Specification
4.2 Output design Specification
4.3 System Architecture
4.4 Interface and System requirements
4.5 System implementation
4.6 Program coding
CHAPTER FIVE
5.0 Summary
5.1 Conclusion
5.2 Recommendation
References
Appendix (Source Code)
CHAPTER ONE
1.1 INTRODUCTION
It does not understand to say that after successful production of drugs by company they will be expecting to see their customers within the shortest possible time in as much their nest line of action will be base on the outcome of production, they say for the fact is that in any higher pharmaceutical company where there are customers, I think there should be like online drug delivery system.
Now it observe that the numbers of customers procuring for drugs in Drug field limited must be replaced with the system that has a better working speed high degree of accuracy and can process many customer requirement at a time on the whole. Computerization of drug delivery system will provide and automate means of processing customer’s details, thus will occasionally eliminate the demerit of over laboring the staff and the problem of unnecessary delaying of customers.
Six Automated individualize drug dispensing systems are presented as a new technology that can even improve the quality of the medication errors that are inherent in the distribution process. Likewise, this technology has the potential to make possible, via management of information in the prevention, as..... ================================================================
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