br Acknowledgements br We thank our supervisors

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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