Front Artif Intell
November 2022
The rapid spread of COVID-19 and its variants have devastated communities worldwide, and as the highly transmissible Omicron variant becomes the dominant strain of the virus in late 2021, the need to characterize and understand the difference between the new variant and its predecessors has been an increasing priority for public health authorities. Artificial Intelligence has played a significant role in the analysis of various facets of COVID-19 since the early stages of the pandemic. This study proposes the use of AI, specifically an XGBoost model, to quantify the impact of various medical risk factors (or "population features") on the possibility of a patient outcome resulting in hospitalization, ICU admission, or death.
View Article and Find Full Text PDFFree nitrous acid (FNA, i.e., HNO) has been recently applied to biofilm control in wastewater management.
View Article and Find Full Text PDFDespite recommendations, few have reported on quality improvement initiatives to implement length of rehabilitation stay benchmarks, while actively monitoring functional outcomes. This article describes the development, implementation, and evaluation of a precision case management model across all inpatient rehabilitation client groups in a Canadian facility. To develop the length of rehabilitation-stay (LoRS) benchmarks, patient data was retrospectively analyzed.
View Article and Find Full Text PDFFree nitrous acid (FNA, i.e. HNO) has been demonstrated to have broad biocidal effects on a range of microorganisms, which has direct implications for wastewater management.
View Article and Find Full Text PDFArch Rehabil Res Clin Transl
December 2020
Objective: To identify variables associated with rehabilitation length of stay (LOS) and prosthetic fitting success for people with lower limb amputation (LLA).
Design: Retrospective analysis of clinically collected cohort.
Setting: Canadian inpatient rehabilitation hospital.