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Multiomics or integrative omics data have been increasingly common in biomedical studies, holding a promise in better understanding human health and disease. In this article, we propose an integrative copula discrimination analysis classifier in the context of two‐class classification, which relaxes the common Gaussian assumption and gains power by borrowing information from multiple omics data types...
The rapidly increasing availability of healthcare data from multiple heterogeneous sources has spearheaded the adoption of data-driven approaches for improved clinical research, decision making, and patient management. The patient healthcare data are usually longitudinal and can be expressed as medical event sequences, where the events include clinical diagnosis, medications, laboratory reports, etc...
With the rapid development of information technologies, which facilitates the perfection of healthcare systems, a variety of clinical data is becoming available. The patient Electronic Health Records (EHR) is one of important sources in healthcare data on which conducts personalized medicine. However, it is challenging if the raw EHRs are directly used to conduct related medical prediction due to...
Given a document collection, existing systems allow users to browse the collection or perform searches that return lists of documents ranked based on their relevance to the user query. While these approaches work fine when a user is trying to locate specific documents, they are insufficient when users need to access the pertinent documents in some logical order, for example for learning or editorial...
Qualitative geographic information retrieval (QGIR) is proposed in this paper. It is semantic matching oriented and based on the qualitative representation. Qualitative reasoning is used to get the relevance between documents and queries. Compared to the traditional geographic information retrieval (GIR), QGIR uses qualitative representation for both themes and place names. Semantic spatial relationships...
Besides preprocessing, post-analysis also plays an important role in knowledge discovery. It can effectively assist users to grasp the obtained knowledge. However, many of data mining algorithms merely take performance into consideration and put the post-analysis of results aside. They generate a modest number of rules for the purpose of improving accuracy. Unfortunately, most induced rules are redundant...
Many of surgical records containing the clinical information are in electronic forms, but a lot of them are still in free-text format in China. In this paper, we have an attempt to extract information with the Nature Language Processing (NLP) approach. The procedure of NLP is made up of three steps. First, given 36 free-text of operation notes, a physician manually annotates the information which...
Intrusion alert analysis system correlates alerts that generated by one or more IDS(s), and yields a succinct attack scenario which reflects an intrusion process. This paper presents an intrusion alert analysis model consists of four modules: alert formalization, alert filtering, alert fusion and correlation, and scenario visualization. Alerts are fused and correlated using approach based on finite...
The purpose of this paper was to find some feature pattern which may be used in diagnosis of blood stasis syndrome (BSS, a unique concept of traditional Chinese medicine) with myocardial ischemia. After establishing an animal model of Chinese experimental miniature swine, 7 indicators in plasma, e.g. troponin T (cTNT), heat shock protein 27 (HSP27), cytochrome C (Cyt C), endothelin-1 (ET-1), calcitonin...
The purpose of ontology matching is to reuse the ontologies and integrate them in different fields, so as to implement the more bigger pool of information and knowledge to the new communication and application. The achievements of (semi-)automatic ontology matching are very limited. There are many works to do in about this field. Under the background, an ontology matching approach, SGOM, is put forward...
Ontology matching is the key process of semantic interaction and knowledge sharing. It is the basement of the other semantic web application, such as, semantic web-based service, ontology alignment. The purpose of ontology matching is to reuse the ontologies and integrate them in different fields, so as to implement the bigger pool of information and knowledge for the new communication and application...
Ontology matching is critical to semantic interaction and knowledge sharing. The purpose of ontology matching is to reuse the ontologies and integrate them in different fields. It is the basement of the other semantic Web application, such as, semantic Web-based service, ontology alignment. Nowadays most ontology mapping approaches integrate multiple individual matchers to explore both linguistic...
Synchronous liver metastasis is one of the leading causes of the mortality in colorectal cancer patients. In this study, predictive models based on AdaBoost and logistic regression for detecting colorectal cancer patients with synchronous liver metastasis before operation were built and compared. Information gain method, genetic algorithm and AdaBoost were used for feature selection. The predictive...
This paper presents a new approach for coupling control problems for norm bounded continuous-time uncertain systems. Firstly, a design of the state feedback decoupling controller is presented. The nominal model could be decoupled completely and the coupling of the actual system would be reduced. Secondly, based on the linear matrix inequality (LMI), combining the guaranteed cost control law with the...
This paper proposes a method for automatic extracting and extending lexical attributes from a Chinese Machine Readable Dictionary (MRD). The method acquires lexical attributes such as density, reserve and ductility for the class metal from definitions in MRD, not using any instantiated objects. Compared with previous works, our method takes advantage of hyponymy semantic relation to extend classes...
An automatic parallelization method for tightly-nested loops running on multi-core system has been proposed. First, according to the physical characteristics of multi-core processors, a way has been presented to solve the problem on dada locality during data decomposition; Second, for increasing parallel granularity of tight nested loops, the method discussed in this article studied computation decomposition...
It is an important work in natural language processing to measure the semantic similarity between two words. This paper proposes a new method for computing word similarity based on pattern vector space model. Analogous to traditional vector space model in information retrieval, a word is represented as a vector in this paper. Each dimension corresponds to a contextual pattern. The similarity between...
This paper introduces a universal mobile data acquisition system. The innovation of this system is that it can be used for different applications. By simple customization, it can meet the needs of different users, without developers' design and development work time after time. To take the data acquisition work about plants and animals in Qinghai Lake Nature Reserve for an example, this paper shows...
In e-learning, to provide personalized service according to learner's characteristics is becoming a hot area which is concerned by many researchers. Learner model and reasoning algorithm are two important factors of impacting the system's effects. In this paper, we analyzed learner's characteristics, proposed an ontology-based learner model and its representation method, described the mechanism of...
The amount of XML documents is increasing rapidly. In order to analyze the information represented in XML documents efficiently, researches on XML document clustering are actively in progress. The key issue is how to devise the similarity measure between XML documents to be used for clustering. Since XML documents have hierarchical structure, it is not appropriate to cluster them by using a general...
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