A new method for augmenting short time series, with application to pain events in sickle cell disease

Kumar Utkarsh, Nirmish R. Shah, Tanvi Banerjee, Daniel M. Abrams

Open source

DOI
10.1371/journal.pcbi.1014389
Published
2026-06-12
Container
PLOS Computational Biology
Publisher
Public Library of Science (PLoS)
Open access
unknown

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BibTeX

@article{allodium:10.1371/journal.pcbi.1014389,
  title = {A new method for augmenting short time series, with application to pain events in sickle cell disease},
  author = {Kumar Utkarsh and Nirmish R. Shah and Tanvi Banerjee and Daniel M. Abrams},
  year = {2026},
  journal = {PLOS Computational Biology},
  doi = {10.1371/journal.pcbi.1014389},
  url = {https://doi.org/10.1371/journal.pcbi.1014389}
}

RIS

TY  - JOUR
TI  - A new method for augmenting short time series, with application to pain events in sickle cell disease
AU  - Kumar Utkarsh
AU  - Nirmish R. Shah
AU  - Tanvi Banerjee
AU  - Daniel M. Abrams
PY  - 2026
JO  - PLOS Computational Biology
DO  - 10.1371/journal.pcbi.1014389
UR  - https://doi.org/10.1371/journal.pcbi.1014389
ER  - 

APA

Utkarsh, K., Shah, N. R., Banerjee, T., & Abrams, D. M. (2026). A new method for augmenting short time series, with application to pain events in sickle cell disease. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1014389

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