Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] In order to meet the scientific and technological information needs of different subjects and improve the quality of scientific and technological novelty search, the challenges to the targeted scientific and technological novelty search are analyzed and corresponding countermeasures are put forward. [Method/Process] We introduce the connotation of targeted scientific and technological novelty search, sort out the methods of the novelty search, and analyze the challenges and put forward countermeasures. [Results/Conclusions] The challenges to the targeted scientific and technological novelty search include the precise search for the in-depth novelty content, the wide intersection of subject knowledge, the novelty search process focused on value and data, prevention of omission of literature retrieval in other languages, and consideration on both quality and efficiency. The targeted scientific and technological novelty search needs to build targeted literature resources, develop team cooperation services, strengthen the job competence of novelty searchers, and formulate guidelines and evaluation standards.
Subjects: Library Science，Information Science >> Information Science submitted time 2017-10-11 Cooperative journals: 《数据分析与知识发现》
Abstract： [Objective] This study aims to extract knowledge for clinical decision from electronic medical records through semantic analysis. [Methods] We first extracted clinical terms from the training samples by the word segmentation algorithm with the help of custom dictionary and statistical method. Then, we used latent semantic analysis to find the potential correlations between clinical terms and treatment plans. Finally, we established a latent semantic model to support gastric cancer treatments. [Results] We successfully extracted 605 treatment plans from 1000 test samples based on the discharge summary texts. [Limitations] Only discharge record texts were examined for this study. [Conclusions] The latent semantic analysis could effectively process electronic medical records to assist doctors’ clinical decision-making work, which posed positive effects to the development of electronic medical record applications.
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