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Network attack graphs are a type of analysis tool that can be used to determine the impact that security vulnerabilities have on the network. It is important, then, for attack graphs to be able to represent enough information to aid this analysis. Moreover, they must be able to handle and integrate new vulnerabilities that are being discovered by the security community. We developed a prototype tool...
Discovering similar diseases is very helpful for revealing the pathogenesis of diseases and making direction in drug use. And related diseases are often triggered by disease-related genes. Therefore, function interaction networks structured by disease-related genes are suitable for measurement of disease similarity, and some methods have utilized the advantage of function interaction of disease-related...
Chronic wounds present a significant risk to the patient and a substantial drain on health budgets, with the problem likely to worsen markedly with increased incidence of type II diabetes. The wound fluid microbiome is known to influence wound healing outcomes, but is poorly characterised. Next Generation Sequencing approaches yield abundant data from wound samples, but progress in understanding these...
Genes that share transcription factors are biologically driven to show a more likely measurable correlation in their gene expression. No modern method of visualization displays these intricate co-expression and correlation patterns better than a graph. Structural observations about a co-expression graph can reveal the secrets of the biological system that it models, but experimentally validated co-expression...
Gene ontology (GO) defines terms and classes used to describe gene functions and relationships between them. GO has been the standard to describing the functions of specific genes in different model organisms. GO annotation which tags genes with GO terms has mostly been a manual and timeconsuming curation process. In this paper we describe the development and evaluation of an innovative predictive...
Objective: To propose a method for clinical terminology extraction of traditional Chinese medicine (TCM). Methods: Conditional probability was used to measure the internal aggregation of terminologies while information entropy measuring the boundary degree of freedom (DOF), so as to establish a method to extract the clinical terminologies of TCM. Different model thresholds were set up to analyze the...
A significant part of our knowledge is relationships between two terms. However, most of these information is documented as unstructured text in various forms, like books, online articles and webpages. Extract those information and store them in a structured database could help people utilize these information more conveniently. In this study, we proposed a novel approach to extract the relationships...
Electronic medical record (EMR) system has become increasingly more important in developed countries due to its convenience and efficiency in medical information storage, management and analysis. However, one of the main limitations of EMR lies in that the clinical data for patients cannot be exchanged among different medical institutions. Recently, the cloud-based clinic system, featuring in lower...
Polypharmacy in older adults has been shown to be a significant risk factor for adverse drug events. Pharmacogenomic testing provides insights regarding individual drug efficacy and may be instrumental in optimizing medication regimen. However, majority of current pharmacogenomic decision support tools provide assessment only of single drug-gene interactions without taking into account complex drug-drug...
According to a report online [34], more than 200 million unique users search for jobs online every month. This incredibly large and fast growing demand has enticed software giants such as Google and Facebook to enter this space, which was previously dominated by companies such as LinkedIn, Indeed, Dice and CareerBuilder. Recently, Google released their “AIpowered Jobs Search Engine”, “Google For Jobs”...
Network pharmacology which is based on bioinformatics and system biology knowledge has been employed into the field of Traditional Chinese Medicine (TCM) researches in recent years. In order to summarize current available bioinformatics databases, especially those can be used for TCM formulae study; a systematic search of Chinese literature by May 2017 was conducted. Results showed that research methods...
This study attempts to develop and design an occupational exposure declaration and monitoring system software for medical staff with multiple functions and convenient for users, which will be the beneficial supplement of Hospital Information system (HIS). Through investigation and documents research, we try to comprehend the procedure of occupational exposure declaration and monitoring, determine...
Acute lymphoblastic leukemia (ALL) is the most prevalent neoplasia among children, and drug resistance is still a major cause of chemotherapy failure in pediatric ALL. Prior research has shown that microRNAs (miRNAs) can play roles in such phenomenon, but detailed regulation mechanisms are far from completely understood. We utilized a semantic analysis approach and its MeSH term filtering mechanisms...
Most state-of-the-art graph kernels only take local graph properties into account, i.e., the kernel is computed with regard to properties of the neighborhood of vertices or other small substructures. On the other hand, kernels that do take global graph properties into account may not scale well to large graph databases. Here we propose to start exploring the spacebetween local and global graph kernels,...
Hospital information system is considered as one of the most important branches of the Medical Informatics by the International Academia Community, with the essence of integrating all the hospital departments into a large information network to facilitate the whole hospital system. Given the issue of “difficult to be hospitalized” in China, a set of safe, stable and easy-to-handle beds resource management...
We propose a novel, semantic-reasoning-based approach to look for potentially adverse drug-drug interactions (DDIs) by using a knowledge-base of biomedical public ontologies and datasets in a semantic graph representation. This approach makes it possible to find previously unknown relations between different biological entities like drugs, proteins and biological processes, and perform inferences...
The purpose of this research is to explore and identify the vulnerabilities in OpenEMR 5.0.0, which is a free and open source medical practice management application. We are to provide recommendations/suggestions to OpenEMR developers on identifying the vulnerabilities. We chose to use vulnerabilities scanning tools to manually explore the demo site of OpenEMR 5.0.0. The targeted vulnerabilities belong...
Nowadays, vehicles have become a very significant role in transport system which a significant issue in various cities around the world, especially in developing countries resulting in turn traffic congestion, massive delays, increased fuel wastage. There are many alternative systems, such as parking places, building bridges. However at the present time, Intelligent Transport System is becoming more...
Article is dedicated to problem of creating the geometric database of products, that required for integration CAD and PDM technologies applicable in product lifecycle management process. As example are considered agricultural machinery tools' geometric data. Cite the forms of geometric data those applying in this process and structural analysis of the cluster system's connections of the components...
Modern drug discovery organizations generate large volumes of SAR data. A promising methodology that can be used to mine this chemical data to identify novel structure-activity relationships is the matched molecular pair (MMP) methodology. However, before the full potential of the MMP methodology can be utilized, a MMP identification method that is capable of identifying all MMPs in large chemical...
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