automated data analysis of laboratory test results and its scientific importance

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AUTOMATED DATA ANALYSIS OF LABORATORY TEST RESULTS AND ITS SCIENTIFIC IMPORTANCE

Introduction
As an authentic measure to curb mortality rate, it is important to know the diseases that contribute to increasing mortality rate. Laboratory test results provide information about the health status of individuals. With the information, it is possible to know the number of individuals that have been diagnosed positive of several form of illness that in several cases contribute to high mortality rate in societies. The following diseases bring about death and they include:

HIV/AIDS
Diarrhea
Tuberculosis
Malaria etcÂ
So many individual’s diagnosed of any of the disease after laboratory test die of the diseases if they do not get proper medical attention. It is therefore pertinent for government to improve its measures in curbing the diseases because of the alarming rate at which they bring about increasing mortality rate.  laboratory test results

TABLE OF CONTENTS

Title page
Certification
Dedication
Acknowledgment
Abstract
Table of Contents

CHAPTER ONE-Â INTRODUCTION
IIntroduction
Theoretical Background
Statement of Problem
Objectives of the Study
Significance of Study
Scope of the Study
Organization of the Study
Definition of Terms-

CHAPTER TWO – LITERATURE REVIEW
Introduction
Meaning and Overview of Clinical or Medical Laboratory
Clinical Pathology
Mortality Rates
Types of Mortality Rates
CHAPTER THREE: SYSTEM ANALYSIS AND DESIGN
Introduction
Research Methodology
System Analysis
Analysis of the Existing SystemÂ
Problems of the Existing System
Analysis of the Proposed System
Advantages of Proposed System
Disadvantages of Proposed System
System Design
Input Layout
Output Layout
Algorithm
Program Flowchart

CHAPTER FOUR: SYSTEM IMPLEMENTATION AND DOCUMENTATION
Introduction
System Design Diagram
Choice of Programming language
Analysis of Modules
Programming Environment
System Implementation 18-19

CHAPTER FIVE: SUMMARY, CONCLUSION AND RECOMMENDATIONSÂ
Introduction
Constraints of the Study
Summary
Conclusion
Recommendations
References
Appendix A: Program Flowchart
Appendix B: Source Code
Appendix C: Output Format

laboratory test results

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