Complete Material Cost #3,000
Order for Complete Material now
A WEB BASE MEDICAL DIAGNOSIS
ABSTRACT
This application of Web-base medical Diagnosis is currently a hot research area in medical and it is believed that they will receive extensive application to biomedical system in the next few years.
The study shows that, best human diagnosis (most experience physician) diagnosis 79.7% Computer with expert database 32.2% Computer with neural network 91.1.% suggesting that human combine neural net data will give a high degree of accuracy in diagnosis.
TABLE OF CONTENT
TITLE PAGE………………………………………………………………………………i
CERTIFICATION………………………………………………………………………..ii
DEDICATION……………………………………………………………………………iii
ACKNOWLEDGEMENT………………………………………………………………..iv
ABSTRACT………………………………………………………………………………v
TABLE OF CONTENT…………………………………………………………………..vi
CHAPTER ONE
1.0 INTRODUCTION………………….……………………………………………….1
1.1 STATEMENT OF PROBLEM………………………………………………………3
1.2 OBJECTIVE OF THE RESEARCH.……………………………………………….4
1.3 SCOPE OF THE STUDY……………………………………………………………4
1.4 DEFINITION OF TERMS…………………………………………………………..5
CHAPTER TWO
2.0 LITERATURE REVIEW…..……………………………………………………….8
2.1 HUMAN AND ARTIFICIAL NEURONES–INVESTIGATING
THE SIMILARITIES………..……………………..……………………………..9
2.2 PATTERN RECOGNITION OF PAHOLOGY IMAGES……………..…………24
2.3 INSTANCE PHYSICIAN……………..…………………………………………..24
2.4 BIOCHEMISTRY…………………..……………………………………………..24
CHAPTER THREE
3.0 LOGIC DESIGN AND ALGORITHM….…………………………………………26
3.1 SYSTEM DESIGN…………………………………………………………………26
3.2 DIAGNOSIS………………………………………………………………………..27
3.3 PROGRAM ALGORITHM…………..…………….……………………………..30
3.4 PROGRAM FLOWCHART………….……………………………………………34
CHAPTER FOUR
4.0 PROGRAM CODE…………………………………………………………………38
4.1 SAMPLE OUTPUT………………………………………………………………..46
4.2 HOW TO RUN THE PROGRAM…………………………………………………51
4.3 ALTERNATIVELY, IT CAN BE RUN FROM VISUAL BASIC DIRECTLY….51
4.3 RESEARCH FOR USING MICROSOFT VISUAL BASIC (VB)………………..52
CHAPTER FIVE
5.0 SUMMARY……………………………………………………………………….54
5.1 CONCLUSION……………………………………………………………………54
5.2 RECOMMENDATIONS………………………………………………………….55
REFERENCES………………………………………………………………………….56
CHAPTER ONE
1.0 INTRODUCTION
One of the applications of medical information has been the implementation and use of expert system to predict medical diagnosis based on a set of symptoms.
Furthermore, such expert systems serve as aid to laboratory testing routines and effective treatments. An intelligent computer program assisting medical diagnosis offer the physician easy access to a wealth of information from past patient data such resources may help hospitals reduce excessive cost from unnecessary laboratory testing and ineffective patient treatment, while maintaining high quality of medical care.
These develop an improved expert system e.i. computerized system that will build the unfailing method or knowledge base for such a system. On major drawback of conventional medical expert system are, they use static knowledge bases, developed from a limited population size and a limited number of case demographic and geographic location.
The knowledge base is inherently not dynamic and is not undated to keep up with emerging trends such as the appearance of increase prevalence of diagnosis before now unseen.
Thus, after a given period of time this inflexibility limits the use of the knowledge base as it no longer reflects the current characteristics of the population at risk.
Given this point, the development of a knowledge base using this artificial network technology naturally lend itself toward the task of predicting medical diagnosis. In addition, this technology appear to be promising method for recommendation possibly routines.
One to it dynamic nature and online learning capability and web network knowledge-base date, thus, once an initial knowledge-base has been set up it can effectively capture varying ailment trends in a given population while retaining its precious knowledge.
This research will construct a web-base network capable of predicting various medical diagnosis with a plausible degree of accuracy.
The data to be use for this task are:
1) Patient demography
2) Present vital signs
3) Present of specific symptom in patient
4) Patient verbal complaints
5) The diagnosis by physician
The element of the first four components serve as an input variable to the network and the last (fifth) component serve as the output.
Therefore, the task of the web-base network is to draw a dynamic correlation between the patient’s presentations, using self reported symptoms and vital signs (complaint 1 to 4) and the diagnosis recorded by the physician (complaints).
The patient’s demographics and vital sign are key element in providing dues to an ailment. It was observed that the patient literal complains provides great in sight for predicting medical diagnosis.
1.1 STATEMENT OF PROBLEM
The major problem in training a web-base network to patient diagnosis is to process the data in such a manner as could be interpreted by the neural networks variable transformation modules.
The steps toward achieving this will involve using a software package that will suit such task, this application will help the physician every patient. Problems facing manual system or conventional system in hospital are:
i) INSECURITY OF DATA:- Hospitals where manual system is in operation, data are not very secured due to the way patient file are being kept in the hospitals.
ii) LACK OF FILE ORGANIZATION:- Using manual or conventional system of file/cards organization in hospital causes a tedious problem to the nurses/physician during storing processing and searching of past patient files.
iii) Manual system does not permit file keeping for a very long time.
iv) TEDIOUS AND STRESSFUL:- Manual Operating Hospital find jobs stressful and time consuming around them.
v) ILLEGIBILITY IN WRITING:- Illegible writing sometimes causes time wasting while searching for patients file. Hence these works will art against those negative vises.
1.2 OBJECTIVES OF THE RESEARCH
The objectives of this project research are:
i) To assist physician facilitate reasonable task, treatment and minimize unnecessary laboratory routines so as to reduce operational cost.
ii) To predict medical diagnosis and possible treatment.
iii) To construct and train Artificial web-base network (AWBN) that will serve as a dynamic “Look up Table” for accurate classification of medical diagnosis due to patient symptoms.
1.3 SCOPE OF STUDY
Really, it has been understood that disease exist everywhere at anywhere, in handling these disease we actually need software to diagnosis and give possible treatment to the various diseases.
For this reason, the project will produce a program that will diagnose some communicable disease. The program will be able to display such information as:
i) The name of the diseases
ii) The symptoms
iii) Possible prescription for treatment
1.4 DEFINITION OF TERMS
AILMENT _____ An illness that is not very serious.
COMMUNICABLE DISEASES _____ These are diseases that can easily be transferred or passed from one person to another.
DEMOGRAPHICS _____ This is scientific study of the changing number in a community for a period of time.
MEDICAL DIAGNOSIS _____ The act of discovering of identifying the exact course of an illness and injury as well as to predict treatment.
NEURAL NETWORK _____ This is a network of connected element inspired from studies of biological nervous system.
PHYSICIAN _____ A specialist in general medicine treatment in a hospital from a doctor.
PLAUSIBLE _____ Statement that is reasonable and likely to be true.
SYMPTOMS _____ Changes in one’s body or mind that shows that patient is not healing.
EEIZURES _____ Sudden attack of an illness especially one that affect the brain.
SMEAR _____ A medical vest in which a very small tissue is removed from a cervix for a cancer test.
SCREEN _____ To examine people in order to find out if they have a particular disease or illness.
SCAN _____ A medical test for pregnant woman, in which a machine is used to produce a picture of the baby in the mother’s body.
CANCER _____ Is a serious disease in the body and kill normal cells of the body.
MELANOMA _____ A type of cancer that appear as a dark spot on the skin.
DIABETIC _____ Having a connected with diabetes.
NEURON _____ A cell that carries information from the brain to the other part of the body.
EPILETIC _____ A person suffering from a disorder of the nervous that causes unconsciousness.
OSTEOARTHRITIS _____ Disease that cause painful swelling and permanent damage in the joint of the body especially the hips, knee etc.
OSTEOPOROSIS _____ A condition in which one becomes weak and is easily broken.
DR. C.O UKOLI (2002) Management and Medical Emergency.
Complete Material Cost #3,000