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This paper presents a system architecture that designs a querying refinement method. The method employs the general principles of facet analysis in a particular paradigm, as well as the notion of ‘focus’, which is a sort of context for a user query. The method provides the user with contextual information about the query, which is computed by using the user documents provided that the documents are...
Psoriasis is a chronic, recurrent, inflammatory skin disease, with varied incidence rates for various populations in different regions of the world. According to statistics, the prevalence of psoriasis in European countries is about 1% ∼ 3%, and 0.47% for China in 2008, which appears on the rise year by year. [1,2] Evidence suggests that genetic and environmental factors play important roles in the...
In recent years, people pay more and more attention to the knowledge of health care and longevity. As an important branch of the Traditional Chinese Medicine (TCM), health preservation is a subject for studying the theories and methods to prevent diseases and to maintain personal health. We aim to provide the general public as well as the TCM practitioners and students with a convenient way to access...
The traditional monolithic hospital focused healthcare system organically developed to address acute conditions. In recent years, healthcare needs have shifted from treating acute conditions to meeting an unprecedented chronic disease burden. Chronic disease healthcare is based on continued delivery outside healthcare facilities, deep understanding of individual health state, managing individualized...
In recent years, many online health communities (OHCs) are established to provide the patients with the services of disease prevention and self-management. Patients in those online health communities discuss their health conditions and share their experiences with other patients using narrative texts in the posts. Those posts contain a vast amount of patients' information, including drugs, symptoms,...
A framework for reasoning within heterogeneous knowledge sources over continuous input streams is the so called Multi-Context Systems (MCSs). To perform reasoning on multiple knowledge sources that need to be integrated we have to tackle the problem of potential inconsistencies. By applying transformations on the knowledge base of each context we generate a Main Knowledge Base (MKB) in Description...
This work describes the integration of Augmented Reality and knowledge-based system applied to the innovation of the classic identification cards used in health system. Initial results are shown regarding the augmentation of physical elements (like cards, credentials, dogtags, etcetera) displaying virtual information and categorization based on the medical records of a person, using a knowledge-based...
In knowledge processing systems, data is gathered from several sources, in the system, some calculating and processing steps are taken, and finally a result is computed and may be used for further steps or other systems. Most of the time the origin of input data is not verified. Using unverified data may cause inconsistencies in processing and generating output, and could lead to corrupting threats...
Most existing works have focused on constructing a knowledge base use machine learning techniques. However, they often suffer from obtaining incorrect entity relationships. In this paper, we propose a system, called MEDLedge, to establish a reliable medical knowledge base. The aim is to improve the accuracy and comprehensiveness of medical knowledge base. The system consists of three parts: data processing,...
High-quality inquiry (i.e. history taking) is the foundation of accurate diagnosis. Traditionally, inquiry occurs between doctors and patients, requiring lots of time and patience, but often receiving a lot of complaints. This paper proposes a smart inquiry framework, aiming for interacting with patient readily by mining personalized questions from biomedical big data. In other words, the patient...
Considering today's surge of information, the need for well organized knowledge bases is increasing rapidly for providing simplified access to knowledge and its further processing. In biomedical domain, heaps of information is buried in scientific publications and online forums. This calls for representing this information in a more expressive semantic way by determining and storing relational information...
The proposed eHealth Recommendation Service System (eHeaRSS) is to recommend health service information to patients whenever and wherever. Nowadays, depending on online networks popularity, there are a lot of research starting to focus on patient-context to apply health care fields like tele-health, tele-care, medical traveling, and so on. The proposed eHeaRSS is like a family doctor to care patients,...
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...
Medicine is a domain where predictions are very important. This paper encourages the use of artificial intelligence (AI) as technological support for decision-making in medical life. Not because the human intelligence would not be enough, but because the mechanisms of artificial intelligence have several benefits that are suitable for this area. These positive features come as a result of combining...
With the widespread growth of social networking there are several online forums that are dedicated to discussing health and well-being. These forums are great resources for collecting patient and health related information, as people tend to freely share and discuss their health conditions and treatments with others having similar experiences. There are several methods available for extracting data...
The increase in the prevalence of allergic diseases requires the active implementation of the capabilities of modern technology in the process of providing health care for children with asthma. The paper describes the system for remote monitoring for asthma patients receiving treatment atthe Scientific Center of Children Health. We describe the method of estimating of the state of patients, the method...
This paper concerns 4-valued logic as a basis for decision support system. We extend classic logic containing 2 values T, F with additional values C (contradiction) and U (uncertainty). This values are introduced for processing contradictory and incomplete information. We consider a generalized interpretation of arguments which determines predicate values for subsets. As a demonstration we consider...
Ontology is one of the semantic technology standard that can make knowledge sharing be easier. This paper reported a development of ontology that focus in pediatrie nutrition domain. This domain was chosen because it is one of the world problem. This ontology covers children's required nutrient intake and its amount. Besides that, it also covers the effect of excess and lack of nutrition. This pediatrie...
Community Health Workers (CHWs) act as liaisons between health-care providers and patients in underserved or un-served areas. However, the lack of information sharing and training support impedes the effectiveness of CHWs and their ability to correctly diagnose patients. In this paper, we propose and describe a system for mobile and wearable computing devices called Rafiki which assists CHWs in decision...
For clinical decision support systems, the disease knowledge base accounts for the majority of the total development cost, because it requires considerable effort by highly-paid domain experts. However, existing research on automated acquisition of medical knowledge has focused on accuracy, while mostly ignoring the cost issue. This case study investigates the cost breakdown of our simplified disease...
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