By Meena Kishore Sakharkar (auth.), Amandeep S. Sidhu, Sarinder K Dhillon (eds.)
Current Biomedical Databases are independently administered in geographically distinctive destinations, lending them nearly preferably to adoption of clever information administration methods. This e-book makes a speciality of examine concerns, difficulties and possibilities in Biomedical facts Infrastructure settling on new concerns and instructions for destiny study in Biomedical info and knowledge Retrieval, Semantics in Biomedicine, and Biomedical facts Modeling and research. The booklet may be an invaluable consultant for researchers, practitioners, and graduate-level scholars attracted to studying cutting-edge improvement in biomedical information management.
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Extra info for Advances in Biomedical Infrastructure 2013: Proceedings of International Symposium on Biomedical Data Infrastructure (BDI 2013)
Nam et al. the latter follows the former, starting with a special character such as non-digit and non-alphabet. Fig. 3 shows these examples. In most cases, the latter sentence is directly related to the former one. Fig. 2. Overview of proposed method Fig. 3. 2 Negation Filtering Due to the characteristic of clinical reports, most sentences are about medical findings. In previous work, negative expressions are detected and replaced with a certain symbol by using NegEx . We assume that negative findings are not effective for cancer staging because MUICC protocol only has the conditions with respect to positive findings.
Since clue words were the first condition to determine N1 and M1 in our method, false negative cases occurred. Second, our lexicon had a coverage problem even though it was extended from a large amount of literature. For example, BLL(Bilateral Lower Lobe) is commonly used in radiology reports but could not be found in the abbreviation lexicon even though the exact phrase occurs in the literature. Moreover, some abbreviations were not found in the literature because they are informal. For example, mets stands for Metastasis.
Adv. in Biomedical Infrastructure 2013, SCI 477, pp. 37–49. 1007/978-3-642-37137-0_6 © Springer-Verlag Berlin Heidelberg 2013 38 S. Nam et al. both research and practice because it was superior about prognostic predictive powers for survival. TNM protocol determines the stage of cancer using three stages: T, N, M stage. Each stage is related to the primary tumor, lymph node metastasis, and distant metastasis respectively. In this paper, we utilize the modified version of the UICC (MUICC).