Abstract
This paper presents a review of mining text for biomedical with various problems related to one another and several methods to get optimal results. The problem now is that many studies are carried out in biomedical areas such as diseases, genes, blood types, proteins, and medicine. Diversity of methods used to get optimal results with each problem's parameters are the knowledge discovery and data mining (KDD) approach, two sets (positive and negative sets), new matching-based subgraphs to extract relational knowledge from biomedical literature, clusters, and several methods the other. Significant works related to biomedical problems with the extraction of texts were reviewed in detail and compared.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
