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|Date||Headline (link)||Source||Relevant Snippet|
|5/19/2021||Drug Disease Relation Extraction from Biomedical Literature Using NLP and Machine Learning||hindawi.com||... continuously be up to date in their field. The objective of this work is to identify different features related to drugs and diseases from medical texts by applying Natural Language Processing (NLP) techniques and UMLS ontology. The Support Vector Machine classifier uses these features to extract valuable semantic relationships among text entities. The contributing factor of this research is the combination of the strength of a suggested NLP technique, which ...|