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Editorial
. 2023 Jan 31;15(1):17-21.
doi: 10.21037/jtd-22-1393. Epub 2023 Jan 5.

Breaking the mould, a first parse at natural language processing in aspergillosis diagnosis

Katharine M Pates #  1 , Zhendan Shang #  2 , Jimstan Periselneris  1 , Anand Shah  3   4
Affiliations
Editorial

Breaking the mould, a first parse at natural language processing in aspergillosis diagnosis

Katharine M Pates et al. J Thorac Dis. .
No abstract available

Keywords: Natural language processing (NLP); invasive aspergillosis (IA); quality control system for pulmonary aspergillosis (QCSA).

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Conflict of interest statement

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://jtd.amegroups.com/article/view/10.21037/jtd-22-1393/coif). AS reports research grants from Vertex pharmaceuticals, Pfizer and Gilead Sciences. ZS reports research grant from Pfizer. AS and JP received speaker fees from Gilead Sciences and AS received speaker fees from Pfizer. The other author has no conflicts of interest to declare.

Figures

Figure 1
Figure 1
General process chart for training and validating NLP NER. Note that this is a high-level description. Models can have very different preprocessing and back propagation methods. Attributes can range from very simple true/false to more complex attributes including time, place, correlation etc. NLP, natural language processing; NER, named entity recognition.
See this image and copyright information in PMC

Comment on

References

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