Advancing Biomedical Text Mining with Community Challenges

arXiv:2403.04261v1 Announce Type: cross
Abstract: The field of biomedical research has witnessed a significant increase in the accumulation of vast amounts of textual data from various sources such as scientific literatures, electronic health records, clinical trial reports, and social media. However, manually processing and analyzing these extensive and complex resources is time-consuming and inefficient. To address this challenge, biomedical text mining, also known as biomedical natural language processing, has garnered great attention. Community challenge evaluation competitions have played an important …

abstract arxiv biomedical challenges clinical clinical trial community cs.ai cs.cl data electronic electronic health records health however media mining processing records reports research resources social social media text textual type vast