ABSTRACT
Using the concept and method of evidence-based medicine,the paper systematically analyzes the functions and shortage of intelligent health Application (App) in disease diagnosis,treatment and self-management,and describes the functions of health and disease management App,so as to promote the development of App and enable App to better assist in health management.
ABSTRACT
The scientificalness of page quality assessment was improved by adding the page vote fraction and the user satisfaction with page according to the time perception-based PageRank Algorithm. The individualized retrieval was realized by adding the users-interested model that was matched with page types and by moving up the users-interested page rank.
ABSTRACT
The unbalanced allocation and sharing of medical and health information resources have retrained the medical and health information construction in China. The current allocation of medical and health information re-sources was thus summarized in this paper by analyzing the CNKI. net-covered literature on medical and health in-formation, the number of undergraduates in colleges and universities, the number of employed medical and health information professionals in Eastern, Central and Western China, and in different provinces of China using the RSR, and suggestions were put forward for the development of medical and health cause in our country.
ABSTRACT
The method for detecting the negative terms in Chinese electronic medical record (EMR) is useful in providing evidence for constructing concept index. In this respect, we adopted an improved method which combined maximum matching with mutual information in order to extract terms in EMRs. This method can overcome the influence of overlay ambiguity. In addition, for the determination of negative semantic, we also adopted an improved method which combined rule-based method with word co-occurrence. This new method can reduce the probability of appearance of false positive terms caused by punctuation input errors. The result showed that the negative predictive value is 7.85% higher than the rule-based method.
Subject(s)
China , Electronic Health Records , Probability , Semantics , Terminology as TopicABSTRACT
Clinic expert information provides important references for residents in need of hospital care. Usually, such information is hidden in the deep web and cannot be directly indexed by search engines. To extract clinic expert information from the deep web, the first challenge is to make a judgment on forms. This paper proposes a novel method based on a domain model, which is a tree structure constructed by the attributes of search interfaces. With this model, search interfaces can be classified to a domain and filled in with domain keywords. Another challenge is to extract information from the returned web pages indexed by search interfaces. To filter the noise information on a web page, a block importance model is proposed. The experiment results indicated that the domain model yielded a precision 10.83% higher than that of the rule-based method, whereas the block importance model yielded an F₁ measure 10.5% higher than that of the XPath method.
Subject(s)
Hospital Information Systems , Information Storage and Retrieval , Methods , Internet , User-Computer InterfaceABSTRACT
@#Objective To report the preliminary results of registry and management for cerebral palsy in Minhang District of Shanghai. MethodsThe registry and management for cerebral palsy in Minhang District of Shanghai were reviewed. Results and ConclusionFrom February, 2009, the children with cerebral palsy (born from Jan.1, 2000 to Dec.31, 2008) and their families who resided in Minhang District participated in the registration adopting Scpchild Manual of Registry and Systematic Management for Cerebral Palsy. At the end of 2009, 41 children with cerebral palsy entered in the Registry System. Comparing with epidemiological investigation, registry and management for cerebral palsy can afford more information. The acceptance of the parents for registry need to be improved to extend the registry to more children.
ABSTRACT
Our study investigated the host cell protein which can interact with SARS-CoV N protein, and explored the functional connections. The eukaryotic expression vectors pEGFP-N1/SARS-CoVN and pdsRed2-N1/ CXCL16 were constructed and used to co-transfect HEK293FT cells by the calcium phosphate method. The HIS-tagged fusion protein SARS-CoVN-GFP was then built and purified for the binding assay in vitro. The co-localization of SARS-CoVN and CXCL16 in the cytoplasm of HEK293FT cells was also shown using confocal laser scanning microscopy. It is suggested that their interaction might be through direct combination. Under a fluorescence microscope, it was observed that the purified fusion protein SARS-CoVN-GFP was attached to the cell membrane of CXCL16-transfected cells, indicating that SARS-CoVN and CXCL16 can be mutually combined.