Forecasting Trajectories of Physiological Mechanics with Sparse Clinical Data Using a Data Assimilation and Machine Learning Hybrid

Yanran Wang, J.N. Stroh, Debashis Ghosh, Melike Sirlanci, George Hripcsak, Tellen D. Bennett, D.J. Albers

Open source

DOI
10.64898/2026.07.22.26358695
Published
2026-07-24
Container
Not recorded
Publisher
openRxiv
Open access
unknown

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BibTeX

@article{allodium:10.64898/2026.07.22.26358695,
  title = {Forecasting Trajectories of Physiological Mechanics with Sparse Clinical Data Using a Data Assimilation and Machine Learning Hybrid},
  author = {Yanran Wang and J.N. Stroh and Debashis Ghosh and Melike Sirlanci and George Hripcsak and Tellen D. Bennett and D.J. Albers},
  year = {2026},
  doi = {10.64898/2026.07.22.26358695},
  url = {https://doi.org/10.64898/2026.07.22.26358695}
}

RIS

TY  - JOUR
TI  - Forecasting Trajectories of Physiological Mechanics with Sparse Clinical Data Using a Data Assimilation and Machine Learning Hybrid
AU  - Yanran Wang
AU  - J.N. Stroh
AU  - Debashis Ghosh
AU  - Melike Sirlanci
AU  - George Hripcsak
AU  - Tellen D. Bennett
AU  - D.J. Albers
PY  - 2026
DO  - 10.64898/2026.07.22.26358695
UR  - https://doi.org/10.64898/2026.07.22.26358695
ER  - 

APA

Wang, Y., Stroh, J., Ghosh, D., Sirlanci, M., Hripcsak, G., Bennett, T. D., & Albers, D. (2026). Forecasting Trajectories of Physiological Mechanics with Sparse Clinical Data Using a Data Assimilation and Machine Learning Hybrid. https://doi.org/10.64898/2026.07.22.26358695

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