Large language model derived regular expressions for sleep phenotyping from electronic health record: a feasibility study

Nathanael Hwang, M Brandon Westover, Diego R Mazzotti, Robert J Thomas, Lynn Marie Trotti, Dennis Hwang, Matt Gratton, Jiaxiao Shi, Rui Yan, Emmanuel Mignot, Gari D Clifford, Umakanth A Katwa, Kendra A Becker, Matthew T Klimper, Jessica K Jara, Haoqi Sun

Open source

DOI
10.1093/sleepadvances/zpag059
Published
2026
Container
SLEEP Advances
Publisher
Oxford University Press (OUP)
Open access
unknown

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BibTeX

@article{allodium:10.1093/sleepadvances/zpag059,
  title = {Large language model derived regular expressions for sleep phenotyping from electronic health record: a feasibility study},
  author = {Nathanael Hwang and M Brandon Westover and Diego R Mazzotti and Robert J Thomas and Lynn Marie Trotti and Dennis Hwang and Matt Gratton and Jiaxiao Shi and Rui Yan and Emmanuel Mignot and Gari D Clifford and Umakanth A Katwa and Kendra A Becker and Matthew T Klimper and Jessica K Jara and Haoqi Sun},
  year = {2026},
  journal = {SLEEP Advances},
  doi = {10.1093/sleepadvances/zpag059},
  url = {https://doi.org/10.1093/sleepadvances/zpag059}
}

RIS

TY  - JOUR
TI  - Large language model derived regular expressions for sleep phenotyping from electronic health record: a feasibility study
AU  - Nathanael Hwang
AU  - M Brandon Westover
AU  - Diego R Mazzotti
AU  - Robert J Thomas
AU  - Lynn Marie Trotti
AU  - Dennis Hwang
AU  - Matt Gratton
AU  - Jiaxiao Shi
AU  - Rui Yan
AU  - Emmanuel Mignot
AU  - Gari D Clifford
AU  - Umakanth A Katwa
AU  - Kendra A Becker
AU  - Matthew T Klimper
AU  - Jessica K Jara
AU  - Haoqi Sun
PY  - 2026
JO  - SLEEP Advances
DO  - 10.1093/sleepadvances/zpag059
UR  - https://doi.org/10.1093/sleepadvances/zpag059
ER  - 

APA

Hwang, N., Westover, M. B., Mazzotti, D. R., Thomas, R. J., Trotti, L. M., Hwang, D., Gratton, M., Shi, J., Yan, R., Mignot, E., Clifford, G. D., Katwa, U. A., Becker, K. A., Klimper, M. T., Jara, J. K., & Sun, H. (2026). Large language model derived regular expressions for sleep phenotyping from electronic health record: a feasibility study. SLEEP Advances. https://doi.org/10.1093/sleepadvances/zpag059

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