Allocation of medical and health information resources in China:An investigation based on RSR / 中华医学图书情报杂志

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.

WIOD-based comparative study on foreign and domestic medical and health information construction / 中华医学图书情报杂志

The gap between foreign and domestic medical and health information construction levels was described and the major factors that influence the domestic medical and health information construction level were analyzed by analyzing the medical and health information construction levels in USA, Britain, Canada, Germany, Japan, Aus-tralia and China according to the input-output data in WIOD, with suggestions put forward for the improvement of domestic medical and health information construction.

Method of detection of negative terminology in Chinese electronic medical record / 生物医学工程学杂志

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.

Study on Information Extraction of Clinic Expert Information from Hospital Portals / 生物医学工程学杂志

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.