Publications by authors named "Michael J Pettinati"
Towards Remote Continuous Monitoring of Cytokine Release Syndrome.
Annu Int Conf IEEE Eng Med Biol Soc
July 2022
Article Synopsis
- CRS is a serious inflammatory response prevalent in cancer patients undergoing immunotherapy, posing challenges for monitoring and prediction of severity.
- An XGBoost machine learning algorithm was developed to forecast CRS severity using vital signs and Glasgow coma scale inputs, evaluated on a large cohort of patients (n=1,139).
- The algorithm demonstrated high predictive accuracy, achieving a micro-average AUC of 0.94 for all CRS grades when incorporating comprehensive time series data, underscoring the critical roles of vital signs and GCS in improving outcomes through timely interventions.
Automatic and Robust Identification of Spontaneous Coughs from COVID-19 Patients.
Annu Int Conf IEEE Eng Med Biol Soc
November 2021
Cough is one of the most common symptoms of COVID-19. It is easily recorded using a smartphone for further analysis. This makes it a great way to track and possibly identify patients with COVID.
View Article and Find Full Text PDFSepsis is a life-threatening clinical syndrome and one of the most expensive conditions treated in hospitals. It is challenging to detect due to the nonspecific clinical signs and the absence of gold standard diagnostics. However, early recognition of sepsis and optimal treatments for sepsis are of paramount importance to improve the condition's management and patient outcomes.
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