COMPUTERIZATION OF MEDICAL DIAGNOSIS INFORMATION SYSTEM
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COMPUTERIZATION OF MEDICAL DIAGNOSIS INFORMATION SYSTEM
1.1 Introduction
General practitioners’ diagnostic proficiency in convulsive and psychomotor diseases of epileptic origin is typically weak, especially in poorer countries.
Thus, in order to give a decision and learning tool for these cases, we created a computer programme that automatically evaluates and classifies patients who may be experiencing epileptic episodes. (Blume et al. 2001).
The programme employs forward and backward-chaining procedures, first presenting relevant questions about the patient to the attending physician, and then attempting to determine whether the episode is epileptic in origin. It then offers one or more viable classifications for the occurrence, based on uncertainties. (Wood, 1992)
In general, medical diagnosis systems offered to collect and analyse data in the same way as a doctor would, making syndrome diagnoses and deciding on treatment.
Over time, these programmes were more likely to be utilised for training rather than by clinicians on a daily basis. The application of artificial intelligence will enable the speedy and automated detection and classification of irregularities. (Kuutti, 1992).
Recent advances in computer technology have generated anticipation that completely automated diagnostic equipment will be available to diagnose diseases with minimal or no human intervention.
Neurology has benefited from the digital computer revolution in brain problem diagnosis that occurred at the close of the twentieth century. Radiology and much of medicine rely on sophisticated cross-sectional imaging techniques
which would not be achievable without high-speed processing capabilities. Nonetheless, radiologists continue to review images without advanced aid. (Fisher et al, 2005).
1.2 Statement of the Problem
The project is expected to answer problems that are commonly faced in many hospitals and medical centres about medical diagnosing methods or procedures.
As a result, the deployment of the computer-based system proposed in this project is expected to simplify and subsidise some of the formerly costly and difficult operations utilised in medical diagnostic systems.
1.3 Aim and Objectives
The project’s goal is to create an application that will help medical specialists and technicians diagnose diseases in their work, allowing for faster and more effective service delivery. The aims of this initiative are as follows:
To assess the accuracy of computer-aided illness diagnosis.
To examine the impact of study features and compare the accuracy of computer diagnosis of diseases to human diagnosis.
To reduce the enormous amount of money spent on the acquisition, maintenance, and management of other diagnostic facilities.
To conduct a critical evaluation of current literature on disease diagnosis using computers.
Top analyses the limitations and problems of existing disease diagnosing methods.
1.4 Significance of the Study
The suggested medical diagnosis system is in charge of diagnosing and prescribing medications to individuals suffering from ailments such as typhoid, malaria, and diabetes, among others.
It is important in monitoring the patient’s health state in a computerised manner and addressing the issues caused by a shortage of medical specialists and physicians in hospitals who specialise in their respective specialties.
The effective deployment of a computer-based application for disease detection will alleviate problems encountered by the present system due to its ease of use, faster execution and data processing, and greater level of accuracy. All of these factors work together to improve the efficiency of medical staff and hospital service delivery.
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