User profiles for Carol Gu
 | Carol GuUniversity of Illinois at Chicago Verified email at uic.edu Cited by 3 |
Catalytic alkylation of remote C–H bonds enabled by proton-coupled electron transfer
Despite advances in hydrogen atom transfer (HAT) catalysis 1 , 2 , 3 , 4 , 5 , there are currently
no molecular HAT catalysts that are capable of homolysing the strong nitrogen–hydrogen (…
no molecular HAT catalysts that are capable of homolysing the strong nitrogen–hydrogen (…
A wireless, skin-interfaced biosensor for cerebral hemodynamic monitoring in pediatric care
The standard of clinical care in many pediatric and neonatal neurocritical care units involves
continuous monitoring of cerebral hemodynamics using hard-wired devices that physically …
continuous monitoring of cerebral hemodynamics using hard-wired devices that physically …
[HTML][HTML] Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world …
…, E Pino, D Gabel-Comeau, A McCoy, C Gu… - BMJ health & care …, 2020 - ncbi.nlm.nih.gov
Background Severe sepsis and septic shock are among the leading causes of death in the
USA. While early prediction of severe sepsis can reduce adverse patient outcomes, sepsis …
USA. While early prediction of severe sepsis can reduce adverse patient outcomes, sepsis …
Wireless, soft electronics for rapid, multisensor measurements of hydration levels in healthy and diseased skin
…, I Yoo, D Wu, AJ Chen, CG Gu… - Proceedings of the …, 2021 - National Acad Sciences
Precise, quantitative measurements of the hydration status of skin can yield important insights
into dermatological health and skin structure and function, with additional relevance to …
into dermatological health and skin structure and function, with additional relevance to …
[HTML][HTML] Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a …
H Burdick, E Pino, D Gabel-Comeau, C Gu… - BMC medical informatics …, 2020 - Springer
Background Severe sepsis and septic shock are among the leading causes of death in the
United States and sepsis remains one of the most expensive conditions to diagnose and treat…
United States and sepsis remains one of the most expensive conditions to diagnose and treat…
The accuracy of wearable photoplethysmography sensors for telehealth monitoring: a scoping review
S Knight, J Lipoth, M Namvari, C Gu… - Telemedicine and e …, 2023 - liebertpub.com
Background and Objectives: Photoplethysmography (PPG) sensors have been increasingly
used for remote patient monitoring, especially during the COVID-19 pandemic, for the …
used for remote patient monitoring, especially during the COVID-19 pandemic, for the …
Evaluating a sepsis prediction machine learning algorithm in the emergency department and intensive care unit: a before and after comparative study
H Burdick, E Pino, D Gabel-Comeau, C Gu, H Huang… - BioRxiv, 2017 - biorxiv.org
Introduction Sepsis is a major health crisis in US hospitals, and several clinical identification
systems have been designed to help care providers with early diagnosis of sepsis. However…
systems have been designed to help care providers with early diagnosis of sepsis. However…
Using machine learning to predict hospital disposition with geriatric emergency department innovation intervention
Study objective The Geriatric Emergency Department Innovations (GEDI) program is a nurse-based
geriatric assessment and care coordination program that reduces preventable …
geriatric assessment and care coordination program that reduces preventable …
[HTML][HTML] Monitoring and responding to signals of suicidal ideation in pragmatic clinical trials: Lessons from the GRACE trial for Chronic Sickle Cell Disease Pain
Sickle cell disease (SCD) is a hemoglobin disorder and the most common genetic disorder
that affects 100,000 Americans and millions worldwide. Adults living with SCD have pain so …
that affects 100,000 Americans and millions worldwide. Adults living with SCD have pain so …
Effect of a sepsis prediction algorithm on patient mortality, length of stay, and readmission
H Burdick, E Pino, D Gabel-Comeau, A McCoy, C Gu… - bioRxiv, 2018 - biorxiv.org
Objective To validate performance of a machine learning algorithm for severe sepsis
determination up to 48 hours before onset, and to evaluate the effect of the algorithm on in-hospital …
determination up to 48 hours before onset, and to evaluate the effect of the algorithm on in-hospital …