Family history information is an important part of understanding a patient's total health, and it is spread in text throughout the clinical record;mostly untagged and often very unstructured. We have performed a s...
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ISBN:
(纸本)9781617823886
Family history information is an important part of understanding a patient's total health, and it is spread in text throughout the clinical record;mostly untagged and often very unstructured. We have performed a syntactic analysis of family history in 1274 sample clinical texts and created an algorithm to extract specific family history information. Using the Stanford NLP Parser, we created patterns of dependency relations to map specific family members to specific diseases. Preliminary results are promising with a precision and recall of .82 and .52, respectively. We find that this is of sufficient accuracy to drive meaningful, actionable clinical presentation of this information.
With the intensive development of university information system, the increasingly expanding and accumulating historical data seriously affects the efficiency of information system performance and brings data managemen...
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Tongue diagnosis is a unique and important diagnostic method in Traditional Chinese Medicine (TCM). It is used to observe abnormal changes in the tongue color for identifying syndrome patterns. However, due to its qua...
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Prediction of protein secondary structure from a primary sequence plays a critical role in structural biology. In this paper, we introduce a novel method for protein secondary structure prediction by using PSSM profil...
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Various distance measures have been proposed for time series classification, and several of them have been used to construct Gaussian distance kernels for support vector machine (SVM) - based classification. Consideri...
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Wireless Sensor Networks (WSN) based Structural Health Monitoring (SHM) is becoming popular in analyzing the life of critical infrastructure such as bridges on a continuous basis. For most of the applications, data ag...
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Semantic focused crawler computes the priority of pages crawling by web page semantic similarity with topic which is defined by *** is a new approach referred to as the main pivot of change from the present web to a n...
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Semantic focused crawler computes the priority of pages crawling by web page semantic similarity with topic which is defined by *** is a new approach referred to as the main pivot of change from the present web to a new web called semantic *** main problem about focused crawlers is to find a computation function of appropriate relevance based on which the crawler can estimate the similarity between topic and web document *** this paper a new method to weigh the concepts related to topic is suggested to be used as a main component in the architecture of semantic crawler to compute relevance of web page with the *** concepts related to the topic are retrieved by ontology graph and their weights are computed by a proposed fuzzy inference *** results show that the proposed approach presents better precision rate compared with breadth-first and best-first search.
Malware is one of the major security threats that can break computer operation. However, commercial antivirus or anti-spyware that used signature-based matching to detects malware cannot solve that kind of threats. No...
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Malware is one of the major security threats that can break computer operation. However, commercial antivirus or anti-spyware that used signature-based matching to detects malware cannot solve that kind of threats. Nowadays malware writers try to avoid detection by using several techniques such as polymorphic, metamorphic and also hiding technique. In order to overcome that issue, we proposed a new framework for malware behavior identification and classification that apply dynamic approach. This framework consists of two major processes such as behavior identification and malware classification. These two major processes will integrate together as interrelated process in our proposed framework. Result from this study is a new framework that able to identify and classify malware based on it behaviors.
This paper takes research articles published in various societies and magazines in Japan during fifty years from 1960 to 2010 as subjects and makes two genealogical tables aimed at counting publishing units. Based on ...
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The fast urbanization in Chongqing metropolitan has had a great impact on the environment and resources. The water resource has been recognized as one of the key elements to the sustainable development of this region....
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The fast urbanization in Chongqing metropolitan has had a great impact on the environment and resources. The water resource has been recognized as one of the key elements to the sustainable development of this region. This paper presents a method of predicting the regional Water Resource Carrying Capacity (WRCC) using the supply-demand balance model. The method predicts that the WRCC of Chongqing metropolitan is from 8.8 million persons to 14 million persons in 2020 and it will not become the bottleneck of the social and economic development of Chongqing Metropolitan in the coming period of time. However the climate change and its impact on the regional ecology will have an effect on it. The results show that the usable capacity of Passing-by water is the most important element of the WRCC of Chongqing metropolitan therefore the protection of the ecological environment in the upstream area is very important. This paper has proposed tangible advice on the sustainable social and economic development in context of water resource (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of conference ESIAT2011 Organization Committee.
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