A predictive model for PICC-related thrombosis in sepsis patients using XGBoost algorithm. [PDF]
Hao W, She TY, Yuan ZN, Liu LN, Qin HL.
europepmc +1 more source
XGBoost algorithm and logistic regression to predict the postoperative 5-year outcome in patients with glioma. [PDF]
Yan Z +5 more
europepmc +1 more source
Accelerating green heterocyclic synthesis: Convergence of AI, automation, and sustainable chemistry
Green heterocyclic synthesis and data‐driven tools such as AI, high‐throughput experimentation, continuous flow, and self‐driving laboratories have developed largely in parallel. This review connects them and asks how green metrics such as E‐factor and PMI might serve as explicit optimization targets rather than post‐hoc measures, toward sustainable ...
Noor Aisyah Ahmad Shah +8 more
wiley +1 more source
Classification of different light colors applied during the incubation period based on small intestine morphology with XGBoost algorithm. [PDF]
Şen U +7 more
europepmc +1 more source
Prediction Model of Postoperative Severe Hypocalcemia in Patients with Secondary Hyperparathyroidism Based on Logistic Regression and XGBoost Algorithm. [PDF]
Ding C, Guo Y, Mo Q, Ma J.
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ABSTRACT Airports are strategic and environmental nodes in global transport systems where rapid passenger growth challenges capacity, sustainability, and resilience. This study uses anonymized mobile network data to analyze and forecast passenger dynamics at Lisbon Airport, Portugal, linking data‐driven insights to sustainable mobility and ...
João Carlos Ferreira +3 more
wiley +1 more source
Research on Early-Age Shrinkage and Prediction Model of Ultra-High-Performance Concrete Based on the BO-XGBoost Algorithm. [PDF]
Luo F, Wang J, Zhu C, Yang J.
europepmc +1 more source
Development and Validation of an XGBoost-Algorithm-Powered Survival Model for Predicting In-Hospital Mortality Based on 545,388 Isolated Severe Traumatic Brain Injury Patients from the TQIP Database. [PDF]
Cao Y +4 more
europepmc +1 more source
Do Banks in the Middle East and North Africa Region Price Carbon Exposure?
ABSTRACT This study examines whether carbon exposure is incorporated into corporate borrowing costs within the Middle East and North Africa (MENA) region. Using a panel of 771 firm‐year observations from publicly listed non‐financial firms between 2016 and 2023, the analysis investigates the relationship between carbon intensity and firms' cost of debt
Yara Ibrahim +2 more
wiley +1 more source
Predicting corrosion degradation of power system equipment in high humidity environment using XGBoost algorithm with a coupled environmental operational modeling approach. [PDF]
Wu T +6 more
europepmc +1 more source

