Text mining approaches for dealing with the rapidly expanding literature on COVID-19
More than 50 000 papers have been published about COVID-19 since the beginning of
2020 and several hundred new papers continue to be published every day. This incredible …
2020 and several hundred new papers continue to be published every day. This incredible …
Information retrieval and text mining technologies for chemistry
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …
reports, or the web is a pressing need shared by researchers and patent attorneys from …
Large language models are few-shot clinical information extractors
A long-running goal of the clinical NLP community is the extraction of important variables
trapped in clinical notes. However, roadblocks have included dataset shift from the general …
trapped in clinical notes. However, roadblocks have included dataset shift from the general …
Closing the gap between open source and commercial large language models for medical evidence summarization
Large language models (LLMs) hold great promise in summarizing medical evidence. Most
recent studies focus on the application of proprietary LLMs. Using proprietary LLMs …
recent studies focus on the application of proprietary LLMs. Using proprietary LLMs …
ChemDataExtractor: a toolkit for automated extraction of chemical information from the scientific literature
The emergence of “big data” initiatives has led to the need for tools that can automatically
extract valuable chemical information from large volumes of unstructured data, such as the …
extract valuable chemical information from large volumes of unstructured data, such as the …
Deploying an interactive machine learning system in an evidence-based practice center: abstrackr
Medical researchers looking for evidence pertinent to a specific clinical question must
navigate an increasingly voluminous corpus of published literature. This data deluge has …
navigate an increasingly voluminous corpus of published literature. This data deluge has …
Extracting information from textual documents in the electronic health record: a review of recent research
SM Meystre, GK Savova… - Yearbook of medical …, 2008 - thieme-connect.com
Objectives We examine recent published research on the extraction of information from
textual documents in the Electronic Health Record (EHR). Methods Literature review of the …
textual documents in the Electronic Health Record (EHR). Methods Literature review of the …
GNormPlus: an integrative approach for tagging genes, gene families, and protein domains
The automatic recognition of gene names and their associated database identifiers from
biomedical text has been widely studied in recent years, as these tasks play an important …
biomedical text has been widely studied in recent years, as these tasks play an important …
Overview of the ShARe/CLEF eHealth evaluation lab 2013
Discharge summaries and other free-text reports in healthcare transfer information between
working shifts and geographic locations. Patients are likely to have difficulties in …
working shifts and geographic locations. Patients are likely to have difficulties in …
[HTML][HTML] Biomedical text mining and its applications in cancer research
F Zhu, P Patumcharoenpol, C Zhang, Y Yang… - Journal of biomedical …, 2013 - Elsevier
Cancer is a malignant disease that has caused millions of human deaths. Its study has a
long history of well over 100years. There have been an enormous number of publications on …
long history of well over 100years. There have been an enormous number of publications on …