A Telepsychiatry Domain Ontology Applied to Healthcare Information Systems
نویسندگان
چکیده
Mental illness has always been target of debate and criticism by the society (modern or ancient). Several problems and challenges regarding Psychiatry, Telepsychiatry specifically are found in literature. The lack of information and the fear of the unknown have long been seen as a barrier for people with mental illness as well as all those involved in the process, such as family and the medical team. In the past, the lack of knowledge led the society to adopt harsh punishment for the patients, under the pretext that the same were possessed by some supernatural force. In this context, the lack of a public, formal and standardized model regarding any sort of information about this field was and remains as the central problem. Therefore, this paper proposes the OntoPsic, a domain-ontology for psychiatry applied to Healthcare Information System to define a common vocabulary about mental illness and Telepsychiatry. Besides relying on this base of knowledge to assist all involved in the treatment of mental disorders, this article also describes the OntoConsult, a system for the deduction of facts to support the decision making. In order to motivate the use of OntoPsic, the article reviews some applications and some practical results with the ontology.
منابع مشابه
Public Transport Ontology for Passenger Information Retrieval
Passenger information aims at improving the user-friendliness of public transport systems while influencing passenger route choices to satisfy transit user’s travel requirements. The integration of transit information from multiple agencies is a major challenge in implementation of multi-modal passenger information systems. The problem of information sharing is further compounded by the multi-l...
متن کاملPresenting a method for extracting structured domain-dependent information from Farsi Web pages
Extracting structured information about entities from web texts is an important task in web mining, natural language processing, and information extraction. Information extraction is useful in many applications including search engines, question-answering systems, recommender systems, machine translation, etc. An information extraction system aims to identify the entities from the text and extr...
متن کاملCentralized Clustering Method To Increase Accuracy In Ontology Matching Systems
Ontology is the main infrastructure of the Semantic Web which provides facilities for integration, searching and sharing of information on the web. Development of ontologies as the basis of semantic web and their heterogeneities have led to the existence of ontology matching. By emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory con...
متن کاملFormal Method in Service Composition in Heath Care Systems
One of the areas with greatest needs having available information at the right moment and with high accuracy is healthcare. Right information at right time saves lives. Healthcare is a vital domain which needs high processing power for high amounts of data. Due to the critical and the special characteristics of these systems, formal methods are used for specification, description and verificati...
متن کاملDesigning an Ontology-based Health Information System: A systematic Approach
Ontology as a creative tool plays an essential role in acquisition and organization of knowledge and its representation in a special field. The important point is that ontology is usually applied in designing information systems and is useful for providing healthcare in design of health information systems by providing a comprehensive model of information and process needs. This comprehensive r...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010