Published on in Vol 8, No 12 (2020): December
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/18352, first published
.
![Unpacking Prevalence and Dichotomy in Quick Sequential Organ Failure Assessment and Systemic Inflammatory Response Syndrome Parameters: Observational Data–Driven Approach Backed by Sepsis Pathophysiology Unpacking Prevalence and Dichotomy in Quick Sequential Organ Failure Assessment and Systemic Inflammatory Response Syndrome Parameters: Observational Data–Driven Approach Backed by Sepsis Pathophysiology](https://asset.jmir.pub/assets/72ced1aabe05e7b6da4bd074adbc0b77.png 480w,https://asset.jmir.pub/assets/72ced1aabe05e7b6da4bd074adbc0b77.png 960w,https://asset.jmir.pub/assets/72ced1aabe05e7b6da4bd074adbc0b77.png 1920w,https://asset.jmir.pub/assets/72ced1aabe05e7b6da4bd074adbc0b77.png 2500w)
Journals
- Bomrah S, Uddin M, Upadhyay U, Komorowski M, Priya J, Dhar E, Hsu S, Syed-Abdul S. A scoping review of machine learning for sepsis prediction- feature engineering strategies and model performance: a step towards explainability. Critical Care 2024;28(1) View