Capturing the Patient's Perspective: a Review of Advances in Natural Language Processing of Health-Related Text
A 2017 review of natural language processing methods applied to information extraction in health records and social media text. An important note from this review: "One of the main challenges in the field is the availability of data that can be shared and which can be used by…
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Mining Electronic Health Records (EHRs): A Survey arxiv.org
A review of the methods and philosophy behind mining electronic health records, including using them for adverse event detection. See Table 2 for a list of relevant papers as of mid-2017.
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Clinical information extraction applications: A literature review sciencedirect.com
A review of clinical IE papers published as of September 2016. From Mayo Clinic group (see below).
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This paper from Hongfang Liu's group at Mayo Clinic sciencedirect.com
demonstrates how text embeddings trained on biomedical or clinical text can, but don't always, perform better on biomedical natural language processing tasks. That being said, pre-trained embeddings may be appropriate for your needs, especially as training domain-specific…
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Assessing the research landscape and clinical utility of large language models: a scoping review doi.org
a high-level review of LLM applications in medicine as of March 2024.
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Ethical and regulatory challenges of large language models in medicine doi.org
a review of ethical issues arising from applications of LLMs in biomedicine.
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Mayo Clinic's clinical natural language processing program mayo.edu
Several groups at Mayo Clinic have made major contributions to BioIE (for example, the Apache cTAKES platform) over the past 20 years.
Biomedical Information Extraction › Research Overviews > Pre-LLM Overviews: “A 2017 review of natural language processing methods applied to information extraction in health records and social media text. An important note from this review: "One of the main challenges in the field is the availability of data that can be shared and which can be used by…”