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  • br Acknowledgements br We thank our supervisors

    2019-10-29


    Acknowledgements
    We thank our supervisors for their continuous suggestions and feedback, we thank our college management especially Dr.Lavu Rathaiah Garu for supporting us, who put their faith in us. This work is mainly based on biomedical data extraction from the corpus, so we thank the referees in this Cucurbitacin I wide area. We thank each and everyone who supported us to accomplish this work successfully. This material has not been published in whole or in part elsewhere and not funded by any organization or committee.  Informatics in Medicine Unlocked 16 (2019) 100188
    Abbreviations
    ML Machine learning
    XML eXtensible Markup Language
    MEDLINE Medical Literature Analysis and Retrieval System Online
    MeSH Medical Subject Headings
    MLP Multi-Layer Perceptron
    LHNFCSF Linguistic Hedges Neuro-Fuzzy Cclassifier with Selected Features
    Fuzzy ART Fuzzy logic and Adaptive Resonance Theory FAST Fast clustering-based feature selection algorithm
    MST Minimum-Spanning Tree
    FSS Feature Subset Selection
    MRMD Max-Relevance-Max-Distance
    DFS Distinguishing Feature Selector
    FE Feature Extraction
    COSMIC Catalogue of Somatic Mutations in Cancer
    BKT Bio-Key Terms
    DNA DeoxyriboNucleic Acid
    Appendix A. Supplementary data
    References
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