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Found 6 papers, 1 papers with code
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health
In this work, we examine the diverse applications of large language models (LLMs), such as ChatGPT, in biomedicine and health.
Comprehensively identifying Long Covid articles with human-in-the-loop machine learning
A significant percentage of COVID-19 survivors experience ongoing multisystemic symptoms that often affect daily living, a condition known as Long Covid or post-acute-sequelae of SARS-CoV-2 infection.
The overview of the NLM-Chem BioCreative VII track: full-text chemical identification and indexing in PubMed articles
The BioCreative NLM-Chem track calls for a community effort to fine-tune automated recognition of chemical names in biomedical literature.
Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view
In this study we analyze the LitCovid collection, 13, 369 COVID-19 related articles found in PubMed as of May 15th, 2020 with the purpose of examining the landscape of literature and presenting it in a format that facilitates information navigation and understanding.
TeamTat: a collaborative text annotation tool
Manually annotated data is key to developing text-mining and information-extraction algorithms.
PDC -- a probabilistic distributional clustering algorithm: a case study on suicide articles in PubMed
In this work, we present PDC (probabilistic distributional clustering), a novel algorithm that, given a document collection, computes disjoint term sets representing topics in the collection.
