The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
As of late, Computer-rooted methods are progressively used to revamp the quality of medical domain services. There are a various PC pull techniques that are utilized for the finding of eye maladies, for example, glaucoma, diabetic retinopathy, and cataract and so on. However, these system are independent programming with basic usefulness. An expert system (ES) for the diagnosis of glaucoma disease...
This paper describes how we build an initial knowledge-base of ripple-down rules (RDR) in medical domain. In medical domain, all decisions are made by the domain experts. Increasing a complexity of disease and various symptoms, there are some attempts to introduce an expert system in medical domain these days. To construct the expert system, it needs to extract the expert's knowledge. To do that,...
The paper provides an introduction into the area of inductive formation of knowledge bases. It presents traditional definitions of main problems in this area and highlights the current topical questions including the interpretability of the results. For solving of current problems in defined area the method of inductive formation of easily interpretable medical diagnostic knowledge bases is suggested...
High risk pregnancy can lead both mother and developing fetus to death. Proper antenatal care before and during pregnancy may decrease the risk of complications. Clinical decision support system (CDSS) is one of health information systems for assisting health providers in decision making that can improve the quality of prenatal care. However, there are difficulties in CDSS's knowledge maintenance...
The World Wide Web connects a wide variety of communities in medical domain, and provides a platform for knowledge exchange and integration between Traditional Chinese Medicine (TCM) and biomedicine. However, the cultural gaps between TCM and Western Medicine hinder cross-cultural communication. We utilize Semantic Web technologies to build a knowledge base that integrates distributed and heterogeneous...
The 9th revision of the International Classification of Diseases (as modified in the United States, also known as ICD-9-CM) is one of the most widely used classification system for clinical problems and procedures. Electronic health record systems usually require physicians to encode diagnoses or medical procedures through appropriate ICD-9-CM codes. Since ICD-9-CM is constituted by more than 13,000...
Traditional Chinese medicine (TCM) is the study of human physiology and pathology, and the prevention, diagnosis, and treatment of human diseases. The traditional Chinese medicine knowledge system is complex and its structure is huge. Therefore, it faces considerable obstacles in terms of knowledge sharing, exchanging and interfusing. Traditional information retrieval technology has made remarkable...
Because of the complexity and incompletion of medical data, as well as the rough set can be well to deal with fuzzy and uncertain information, a knowledge discovery model is presented for lifestyle diseases based on rough set theory. As the problem that single attribute dependency is difficult to distinguish, an improved heuristic algorithm is presented for attribute reduction based on the core attribute...
A revised Group Method of Data Handling (GMDH)-type neural network algorithm for medical image diagnosis is proposed, and is applied to medical image diagnosis of lung cancer. In this algorithm, the knowledge base for medical image diagnosis are used for organizing the neural network architecture for medical image diagnosis, and the revised GMDH-type neural network algorithm can identify the characteristics...
The compilation of the neuroradiology diagnosis reports based on magnetic resonance (MR) exams comprises a deep analysis of images and related numerical values, usually done with specialized image processing tools, and the compilation of the different parts forming the reports, following well-defined schemes which depend on the kind of exam and pathology.
A study of the orthodox practice of diagnosing hepatitis revealed that inexactness in the diagnostic results has led several patients into abusing therapies. This prompted a further study into how this could be resolved. In this regard, effort was made for medical doctors to specify some linguistic labels while taking history and performing medical examinations on the patients. The effort yielded...
In recent decades, with the continuous improvement of computer performance, in medicine, biology and other fields, its applications are paid more and more attention to by researchers and scholars. Aided medical diagnosis and treatment system based on computer has already become a hotspot. In this paper, the aided medical diagnosis system based on knowledge base and maximum entropy is put forward....
Constructing the Knowledge Base (KB) of the Clinical Decision Support System (CDSS) is a crucial task that determines the success of the CDSS in general. The goal is to collect the medical knowledge from the relevant sources, systemize it and represent it in a formal human understandable and computer-interpretable manner. There are many different methodologies for acquisition and representation of...
Cerebrovascular diseases are one of the most common causes of death worldwide. In this paper, we analyze relationships in heterogeneous collaborating centre's medical data to resolve a solution of this complex problem. Data mining is primarily based on clinical data, imaging examinations and therapeutic data stored in various data formats. The raw and mined data can be used by a registered medical...
Development of medical expert systems that use artificial neural networks as their knowledge bases appears to be a promising method for predicting diagnosis and possible treatment routine. This paper deals with the construction and training of an artificial neural network for skin disease diagnosis (SDD) based on patients' symptoms and causative organisms. The artificial neural network constructed...
It is introduced the development of expert hypermedia system for the diagnosis of children's dermatosis by visual basic and SQL server, and the application of rough set theory, such as the knowledge reduction for the knowledge base in this system, and the methods of positive reasoning and negative reasoning by rough set theory as well. It is greatly improved the reasoning efficiency of this system...
In recent era, health care professionals truly belief that the better health care can be provided by developing computerized intelligent health care system. In this paper, we attempted to propose an advanced scheme of agent-based health care and medical diagnosis system using the knowledge base and collaborative as well as co-operative intelligent agents residing on a multi-agent platform, which provides...
Information for system design and evaluation inputs was collected from the experienced expert of thyroid diagnostics. Standardized was number of inputs and verbal expression of output diagnostic decisions (diagnosis recommendation) which would be offered by the system. Then set of basic diagnostic decisions was established. One of them was in detail explained, modeled in rules and graphically described...
The DOCSIM system is an out-patient information system that integrates intelligent modules into a pre-diagnosis session to help doctors retrieve similar cases from previous successful treatments and store new successful cases into the system's knowledge base for future use. In testing the system with 45 patients, a human doctor gave the DOCSIM system an average score of 3.39 out of 4.
The septicemia expert system (SES), an expert system designed for diagnosis of pathogens (DIAGSES) and antibiotics prescription, is discussed. SES is provided with a large clinical database (SES-DB), which includes extensive information about septicemia. A link between the SES-DB and SES was designed to facilitate the evaluation of SES. It showed the possibility of improving DIAGSES efficiency. Statistical...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.