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Chapter One

Introduction

1.1.0 General Introduction

Medical establishments like hospitals, rehabilitation centers, health-saloons etc. are seen as figures of hope when struck with illness. Just like other organizations, medical establishments are also well-organized, following rigid and complex processes. In recent years, records have shown an increase in inaccuracy and imprecision in medical diagnosis as most patient who are unable to a clinic for proper diagnosis end up treating sickness inappropriately. The advent of computer and internet has made it possible for millions to access proper medical diagnosis and are administer correct treatment procedures. Today, several algorithm, models and technologies are put in place to ensure accurate and precise diagnosis on patient which in turns has reduce the rate of mortality in the country and world at large. One of such technologies is fuzzy logics

Online Medical Diagnosis Software(OMDS) automates the whole process of patience diagnosis with accurate and precise result using a well detail and proven algorithm to achieve it desire output, one of such algorithm is fuzzy logic a branch of artificial intelligent. Using the software will remove all such complexities as it helps you retrieve your information accurately.

1.2.0 Introduction

Chapter one introduces the research work and the problem definition of the research, and to know the aim of this research work, research justification tells us why it is important to research on this topic; it also covers areas like scope and limitation of study which entails the boundary of this work. Definition of terms gives summarize what each chapter entails.

1.3.0 Problem Definition

This research work OMDS was undertaken to uncover some of the problems that characterized the traditional method of medical diagnostic which has taken many lives. Here patient take drugs base on ancient myth, past experience and drugs availability not knowing that same symptom can cut across several illnesses and thereby engaging in drugs abuse. The propose OMDS is meant to diagnose various diseases in an expert system such as Malaria, Typhoid, Cholera, Ebola etc. Fuzzy logic is chosen as the artificial intelligence tool employed in the proposed system because it is one of the most efficient qualitative computation methods

1.4.0 Objective Of Study

In view of the problems mentioned above, this project is aimed at implementing Online Medical Diagnosis Software (OMDS) which will exclusively:

Diagnose and display accurate result from the selected symptom selected by the patient or users

1.5.0 Research Justification

This research work will provide a reliable way of handling patient diagnosis as the result are gotten from well know medical institution. This research work which will be deployed online will be readily available to everyone not able to access a professional consultant or health practitioners. Furthermore, it will aids structural document representation of drugs and symptoms for all disease cover in this system. This research will also contribute to existing literature in this area and will serve as a guild or blueprint for an undergraduate student.

1.6.0 Research Methodology

This research work “design and implementation of an online medical diagnosis and consultancy system” will be a web-based application and will be implemented on a relational database system(MySQL). Html(hypertext markup language), css(cascading style sheet) and Jquery will be used to design the web-user interface, php (hypertext preprocessor) will be used as the serve- side script language to link the interface and the database.

1.7.0 Scope And Limitation Of Study

This research work is to develop a system capable of diagnosing only disease and their symptoms stated below.

Malaria:

Symptoms of malaria

Fever

Headache

Weakness

Myalgia or Muscle pain

Arthralgia or Joint Pain

Anorexia or Lack of appetite

Diarrhea

nausea and vomiting

abdominal pain

Chills or Cold

 

Cholera

Symptoms:

watery diarrhea

volume depletion or dehydration

vomiting

abdominal pain or stomach pain

lethargy or Laziness or Fatigue

 

Typhoid

Symptoms:

high fever

dull frontal headache

abdominal pain

anorexia: eating disorder and weight loss

constipation

cough

diarrhea

malaise or fatigue

chills

 

Yellow Fever

symptoms:

fever

conjunctiva injection or Red eyes

relative bradycardia or Slow heart beat

Jaundice or yellowish Skin

hemorrhagic diathesis or Bleeding

hypotension or Low blood Pressure

hypotension

lethargy or Laziness or Fatigue

vomiting

 

Ebola

Symptoms:

Fever

Severe headache

Muscle pain

Weakness

Fatigue

Diarrhea

Vomiting

Abdominal (stomach) pain

Unexplained hemorrhage (bleeding or bruising)

 

Tuberculosis

Signs and symptoms of active TB include:

Coughing that lasts three or more weeks.

Coughing up blood.

Chest pain, or pain with breathing or coughing.

Unintentional weight loss.

Fatigue.

Fever.

Night sweats.

Chills.

 

The system will not incorporate in its development all the functions of a diagnosis system but will focus only on the aforementioned functionalities. The system will not be responsible for any loss of data if its environment (network/system installed on) is corrupt.

1.8.0 Chapter Layout

This section was put in place to explain what each chapter does,

Chapter one introduces the project to the reader by explaining the problems the project is supposed to solve, objective of the study and research justification is to describe to the reader the purpose and the importance of researching on this topic, research methodology is all about the method used in implementing the research work, scope and limitation describes the boundary of the research work and where the project work can be put into use.

Chapter two deals with the literature review and state-of-the-art.This chapter discusses literature review, what people have published related to this research work and their shortcoming, how this present research can improve their shortcomings.

Chapter three deals with the system design methodology i.e. collection of tools methods and practices for achieving a task; the requirement specification states the expectation of the system analysis, and design which is the blueprint of what the system would carry out.

Chapter four has to do with the implementation, system testing strategies, target computer system requirement, software maintenance etc.

Chapter five discusses the recommendations and conclusion part of the research work and how this work can be applied to the problem domain.

1.9 Definition of term

OMDS:

Online medical diagnosis system

Chapter Five

Summary, Conclusion and Recommendation

5.1 Summary

The aim of this research is to create an online medical diagnosis system (OMDS) which will automates the whole process of patience diagnosis with accurate and precise result using a well detail and proven algorithm to achieve it desire output, one of such algorithm is fuzzy logic a branch of artificial intelligent. The existing types of OMDS were discussed and it was narrowed down to the six afore mention illness. The history of some of the disease where highlighted. Treatment and dosage for different age were outlined. The system design was made suitable to the system requirements. Embedded in the system design is activity diagram which shows the activities and actions in the system. The implementation of the software was successful.

5.1 Conclusion

Online Medical diagnosis system will improves the health care system in the country if publicize and launch on the internet. The resulting software would be of benefit to everyone who which to understand more or know the different treatment and proper drugs to be taken when truck with any of the afore mention illness. The software has been able to meet its objectives and will make online diagnosis more powerful.

5.3 Recommendation

The software developed for the implementation of this research can be used by any who which to run a self-diagnosis on his/her self:

The resulting system should be updated from time to time keeping tracks with latest update and research around the world

System administration should have an indept knowledge of logic to be able to manage and maintain the system.

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