CHAPTER ONE

INTRODUCTION

1. Introduction

This chapter presents the introduction to the study on information system for malaria diagnosis. It presents the introduction, background of the study, statement of the problem, aim and objectives of the study, significance of the study, scope of the study, organization of the research and definition of terms.

1.1 Background  of the Study

Identification of malaria at early stage will be helpful as its effect increasing drastically and cause great harm to people life. Malaria is due to imbalance (increase) of amount of parasites in the patient’s blood and an indicator for the degree of infection. Malaria is caused by a blood parasite named Plasmodium spp. It affects at least 300 to 600 million people every year and causes an estimated 3 million deaths. Early diagnosis and treatment of it is necessary. Automated system for disease diagnosis is becoming popular day by day. In today’s world people are so busy, that they hardly have enough time to visit a doctor. So they can use the service of this expert diagnosis system residing home or office and have an idea about the disease. After that they can consult the specialist doctor if it is necessary or serious. Fuzzy logic algorithm can help in the early diagnosis of malaria when applied properly (Beth, Claudio and Burhan, 2002)

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