Comprehensive Sepsis Risk Prediction in Leukemia Using a Random Forest Model and Restricted Cubic Spline Analysis
Yanqi Kou,1,2,* Yuan Tian,2,3,* Yanping Ha,2,3,* Shijie Wang,1,* Xiaobai Sun,1 Shuxin Lv,1 Botao Luo,2,3 Yuping Yang,2 Ling Qin1 1Department of Hematology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, L...
Saved in:
Main Authors: | Kou Y, Tian Y, Ha Y, Wang S, Sun X, Lv S, Luo B, Yang Y, Qin L |
---|---|
Format: | Article |
Language: | English |
Published: |
Dove Medical Press
2025-01-01
|
Series: | Journal of Inflammation Research |
Subjects: | |
Online Access: | https://www.dovepress.com/comprehensive-sepsis-risk-prediction-in-leukemia-using-a-random-forest-peer-reviewed-fulltext-article-JIR |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Neonatal Sepsis: A Comprehensive Review
by: Charikleia Kariniotaki, et al.
Published: (2024-12-01) -
Exploring Core Genes Associated with Sepsis and Systemic Inflammatory Response Syndrome Using Single-Cell Sequencing Technology
by: Shen Y, et al.
Published: (2025-02-01) -
Increased Co-Expression of PD-L1 and CTLA-4 Predicts Poor Overall Survival in Patients with Acute Myeloid Leukemia Following Allogeneic Hematopoietic Stem Cell Transplantation
by: Chen C, et al.
Published: (2025-01-01) -
PCT/ALB Ratio in Initial Three days for the Prediction of Secondary Infection in Septic Patients
by: Zhang C, et al.
Published: (2025-02-01) -
Understanding the Difficulties in Diagnosing Neonatal Sepsis: Assessing the Role of Sepsis Biomarkers
by: Lungu Nicoleta, et al.
Published: (2024-10-01)