Yuting Gu
Biographic Data
| ID | 8311174 |
|---|---|
| NAME | Yuting Gu |
| GIVEN NAMES | Yuting |
| FAMILY NAME | Gu |
| SIGNATURE | GU Y |
| AFFILIATIONS | Irvine University |
| ORCID | 0009-0003-2431-1030 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The accent atlas
The clinical value of inflammation index in predicting ICU mortality of critically ill patients with intracerebral hemorrhage
Background: The inflammatory response holds paramount significance in the context of intracerebral hemorrhage (ICH) and exhibits a robust correlation with mortality rates. Biological markers such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune inflammation index (SII), and systemic inflammatory response index (SIRI) play crucial roles in influencing the systemic …
Machine learning models including insulin resistance indexes for predicting liver stiffness in United States population
Background: Prevention and treatment of liver fibrosis at an early stage is of great prognostic importance, whereas changes in liver stiffness are often overlooked in patients before the onset of obvious clinical symptoms. Recognition of liver fibrosis at an early stage is therefore essential. Objective: An XGBoost machine learning model was constructed to predict participants' liver stiffness measures (LSM) from general characteristic informatio…
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Machine learning models including insulin resistance indexes for predicting liver stiffness in United States population
Background: Prevention and treatment of liver fibrosis at an early stage is of great prognostic importance, whereas changes in liver stiffness are often overlooked in patients before the onset of obvious clinical symptoms. Recognition of liver fibrosis at an early stage is therefore essential. Objective: An XGBoost machine learning model was constructed to predict participants' liver stiffness measures (LSM) from general characteristic informatio…
The clinical value of inflammation index in predicting ICU mortality of critically ill patients with intracerebral hemorrhage
Background: The inflammatory response holds paramount significance in the context of intracerebral hemorrhage (ICH) and exhibits a robust correlation with mortality rates. Biological markers such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune inflammation index (SII), and systemic inflammatory response index (SIRI) play crucial roles in influencing the systemic …
The accent atlas
Internal Medicine (2 works) · Medicine (2 works) · Artificial Intelligence (1 work) · Cohort (1 work) · Comprehension (1 work) · Computer Science (1 work) · Critically ill (1 work) · Environmental health (1 work) · Fibrosis (1 work) · Inflammation (1 work)