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According to the World Health Organization, there are about 15% of universe population have some forms of disability. One of these disabilities is Cerebral Palsy CP which is a permanent motor disorder that appears in early age causing mental and physical disabilities. Based on WHO, between 1.5 to 2.8 cases per 1000 birth have CP Disability in the world. In Gaza Strip, 2.6% of population has some forms...
We aim in this paper to integrate a nonmonotonic rule system (defeasible logic) with description logic-based ontologies. This can help us in building defeasible medical ontologies using vocabulary defined in description logic. We shall use defeasible reasoning to function on top of description logic. The process involves using the description logic system ALC to build a Disease-Symptom ontology. It...
This paper presents a Hybrid Clonal Selection based method for generating healthy meals as starting from a given user request, a diet recommendation, and a set of food offers. The method proposed is based on a hybrid model, which consists of one core component and two hybridization components. The core component uses the CLONAG algorithm. One of the hybridization components is based on flower pollination,...
People becoming very conscious about their health. Universe is changing at every moment and results in seasonal variations. These seasonal variations affect on human body. Every human being having their own particular type of Prakriti from their birth. Prakriti is one type of energy to control physical and mental state of human body. Imbalance in these energies results in illnesses and different diseases...
This paper presents an ontology-based approach to the interface adaptation for people with special needs on the basis of user model and rule-based reasoning mechanism over ontology. The meta-ontology for adapting interfaces for people with disabilities was developed to integrate and manage the domain ontologies (user domain ontology, user disability domain ontology, application interface domain ontology,...
Expert system can effectively reduce human error and improve the diagnostic quality. However, due to the medical domain knowledge is large and complex, effective knowledge representation or vocabularies standardization is important issues to ensure both shared understanding and interoperability between people and clinical decision support system (CDS). This paper uses a semantic model to convert natural...
In this paper, we concentrate on how to apply semantic technology (ST) to intelligence decision-making support system (IDSS). Due to the limitations of traditional IDSS with relational database and the superiority of ST in knowledge presentation, we establish a ST-based IDSS aimed at combining IDSS with ST which integrates expert knowledge with RDF triples. Pig disease diagnose is chosen as an example...
The volume of biomedical spatial information available on line increases day by day, which need to be exploited and shared by users in different knowledge areas. NCDs kill 36 million people each year and considering the seriousness of the problem globally, there are already underway government strategies to reduce risk factors and early detection and timely treatment. In this article, it's discussed...
This study presents a new approach in developing an ontology based expert system to diagnose thyroid diseases. Ontology represents explicit specification of knowledge in a specific domain of interest in the form of concepts and relations among them. Its merit is that the represented knowledge is both computer and human readable. The adoption of ontology in healthcare has facilitated domain experts...
Today Workflow Management Systems (WFMS), like Taverna and Kepler, have a very important place in the everyday work of the scientist. These tools support the access to computational resources and act as interface for building complex data processing chains. The next step is to support decisions of the researcher on autonomously developing workflow parts guided by requirements of the scientist while...
Several attempts have already been made to automate the generation of assessment questions. These attempts were mainly technical and lacked a theoretical backing. We explore psychological and educational theories to support the development of principled methods to generate questions and control their properties. We present a similarity-based theory to control the difficulty of multiple-choice questions...
In this paper we address two problems. The first pertains to implementation of medical guidelines in an e-health system supporting self-management of chronic diseases. The system allows patients to enter observed symptoms and measured parameters, then makes assessment of disease state and informs about necessary actions. We propose to formalize guidelines as sets of fuzzy rules. Fuzziness is introduced...
Electronic medical records capture large quantities of patient data generated as a result of routine care. Secondary use of this data for clinical research could provide new insights into the evolution of diseases and help assess the effectiveness of available interventions. Unfortunately, the unstructured nature of clinical data hinders a user's ability to understand this data: tools are needed to...
Usually to finish a complicated task often requires different fields of professionals to contribute his knowledge because no one has the complete knowledge of the task. And if the knowledge is sharing by web pages in internet, users need to visit these pages one by one to grab piece of knowledge we needed on the pages and then integrate it manually. This approach takes lots of effort in searching,...
This paper focused on ontology reasoning and conflict detection based on description logic. It presented the formal definition of forest disease and pest diagnosis ontology, which can reveal the clear hierarchy structure of knowledge. SWRL rules are built from the ontology that can have application in the reasoning of forest disease and pest diagnosis system. And ontology conflict detections of individual...
Domain knowledge may be used in medical applications to avoid wrong decisions and also to be able to make a correct decision for strong working diagnosis and partly for therapeutic purpose. In this paper, Case Based Reasoning (CBR) methodology has been applied by combining with ontology for implementing case-based medical diagnostic knowledge structure. The development of knowledge repository for...
The differential diagnosis (ddx) is a systematic method to identify unknowns. This method, essentially a process of elimination, is used by taxonomists to identify living organisms and by physicians to diagnose the specific disease in a patient. One important point is the enormous amount of knowledge that doctors are required to possess, in order to be able to make a correct ddx. The main problem...
In order to improve on the efficiency of traditional information retrieval, system architecture of retrieval-oriented, case-based ontology reasoning has been designed and implemented in this paper, by which the traditional information retrieval, CBR and ontology can be integrated. In this architecture, OWL was employed as the description language for ontology model; ontology cases were extracted from...
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