Publications by authors named "Chitrabhanu B Gupta"
Article Synopsis
- Fluid bolus therapy (FBT) is crucial for managing circulatory shock, but finding the right balance for individual patients remains difficult, necessitating better predictors of response.
- In this study, a machine learning model called the ML fluid responsiveness algorithm (MLFRA) was developed using data from 394 fluid boluses in pigs to predict hemodynamic response based on arterial blood pressure waveforms.
- The MLFRA demonstrated better performance in detecting fluid responsiveness compared to conventional methods, achieving higher average metrics like AUROC and sensitivity, making it a promising tool for personalized critical care management.
