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Abstract
Articialintelligenceis thehumanlikeintelligence exhibited by machines or software.It is an important part of computer science .The advancement in computer technology has encouraged the researchers to develop software for assisting doctors in making decision without consulting the specialists directly.The software development exploits the potential of human intelligence such as reasoning, makingdecision, learning (byexperiencing) and many others. Articial intelligence is not a new concept, yet it has been accepted as a new technology in computer science. It has been applied in many areas such as education, business, medical and manufacturing. This paper explores the potential of articial intelligence techniques particularly for web-based medical applications. Keyword : Articial intelligence, making decision, web-based medical application. I. INTRODUCTION In most developing countries insufcient of medical specialist has increased the mortality of patients suffered from various diseases.The insufcient of medical specialists will never be overcome within a short period of time. The institutionsofhigherlearningcouldhowever,take an immediate action to produce as many doctors as possible.It is a long procedure to transform a general doctor to specialist. Medical practitioner may not have enough expertise or experience to deal with certain high-risk diseases. However, the waiting time for treatments normally takes a few days, weeks or even months. By the time the patients see the specialist,the diseases may have already spread out. As most of the high-risk disease could only be cured at the early stage, the patients may have to suffer for the rest of their life.
Computer program or software developed by emulating human intelligence could be used to assist the doctors in making decision without consulting the specialists directly. The software was not meant to replace the specialist or doctor, yet it was developed to assist general practitioner and specialist in diagnosing and predicting patients condition from certain rules or experience .Employing the technology Articial Intelligence (AI) techniques in medical applications could reduced the cost, time, human expertise and medical error. Computer program known as Medical Decision-Support System was designed to help health professionals make clinical decision [1].The system deals with medical data and knowledge domain in diagnosing patients conditions as well as recommending suitable treatments for the particular patients. Computer program known as Medical DecisionSupport System was designed to help health Patient-Centred Health Information Systems is a patient centered medical information system developed to assist monitoring, managing and interpret patients medical history [2].
The system serves to improve the quality of medical decision-making, increases patient compliance and minimizes iatrogenic disease and medical errors. While diagnosing the patient, doctor can refer to patients history record for a history treatment. A prescription of medicine can automatically sent to the dispensary. The advancement in computer technology and communication encourages health-care provider to providehealth-careovertheInternetortelemedicine . Telemedicine can improve access to care, increase health-care quality and reduce the cost . Patients from rural areas can access to the same quality of health-care as those in big city. In general, telemedicine means the use of computer andcommunicationstechnologiestoaugmentthe deliveryofhealth-careservices[3].Theapproach reduces the cost and time for both patients and doctors. This paper discussed about articial intelligence in medicine, centralized database,webbased medical diagnosis and prediction, specically for medical practitioners.
LITERATURE REVIEW
Modern medicine is faced with the challenge of acquiring, analysing and applying the large amount of knowledge necessary to solve complex clinical problems. The development of medical articial intelligence has been related to the development of AI programs intended. to help the clinician in the formulation of a diagnosis, the making of therapeutic decisions and the prediction of outcome. They are designed to support healthcare workers in their every day duties, assisting with tasks.
METHODOLOGY
Articial intelligence in medicine. It Produces new tools to support medical decision-making, training and research. Integrates activities in medical, computer, cognitive and other sciences. Centralized database. The patients records are valuable information for the knowledge-based system. The current patients data would enhance and strengthen the validity of the system reasoning [4]. Web-based medical diagnosis and prediction. Prediction module utilizes neural networks techniques to predict patients illness or conditions based on the previous similar cases. Diagnosis module consists of expert system and fuzzy logic techniques to perform diagnosis tasks. IV. AI IN MEDICAL A. AI IN MEDICINE Experienced Based Medical Diagnostics Systemaninteractivemedicaldiagnosticsystem is accessible through the Internet[5] . Case Based Reasoning (CBR) was employed to utilize the specic knowledge of previously experienced and concrete problem or cases. The system can be used by patients to diagnose themselves without having to make frequent visit to doctors and as well as medical practitioner to extend their knowledge in domain cases (breast cancer).
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