THE DESIGN AND IMPLIMENTATION OF A COMPUTER AIDED SYSTEM FOR MEDICAL DIAGNOSIS AND TREATMENT OF ILLNESS

Code: D54B822019  Price: 4,000   59 Pages     Chapter 1-7    6725 Views

Technological trend in recent time’s nit nesses an appreciable decrease in hardware cost, implementation in microchip technology and a boost in the use of micro – computer’s in all ere as of human life. The health industry is among the sectors formed by the innovation, effected by the multiplicity of flexible, easy to use and interactive software packages tailor to meet the handicaps of the medical profession and to provide a relief of the human effort involved in the practice. This project report tend to describe computer base system of medical diagnosis the chemical feature of some common illness and their different treatment are distinguish able by the use of oral interview. This system interrogates a patient using the general principle and technology of chemical examination. With details of inference to the underlying diseases and recommendations for treatment. This study course only the diagnosis of such illness as feverish conditions that do not involve the service of a medical laboratory test such as malaria parasite, ealmoneilosis infections (typhoid) hepatitis upper respiratory track infections (URTI) and septicemia (infection of the blood with bacteria). The features and working principles of a typical expert – system are allied in the design and implementation of the system is a help to draw conclusion from the knowledge based. The information were extracted from different experts in medical profession. The analysis of the existing system was taken into consideration before the development of the software in other to ensure prompt and timely information and recommend treatment for the patient. The new system is very interactive and flexible and is capable of solving any medical diagnosis problem within the scope. A software was developed with Q basic as the language of the program is based on flexibility. Since the ultimate aim of this project as to design and diagnosis support system of artificial inteligate (A.I) that mimic the expertise doctor in clinical diagnosis.

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