Predicting the Recurrence of Differentiated Thyroid Cancer Using Whale Optimization-Based XGBoost Algorithm. [PDF]
Shrestha K +4 more
europepmc +1 more source
Neck Lymph Node Recurrence in HNC Patients Might Be Predicted before Radiotherapy Using Radiomics Extracted from CT Images and XGBoost Algorithm. [PDF]
Tsai YL, Chen SW, Kao CH, Cheng DC.
europepmc +1 more source
Antiretroviral pre‐exposure prophylaxis (PrEP) is less effective in women than expected, partly because drug exposure within the female genital tract is variable and may be influenced by the vaginal microbiome. We developed an integrated pharmacometrics and machine learning framework to evaluate associations between vaginal microbiome composition and ...
Diqin Yan +6 more
wiley +1 more source
Postoperative serum albumin drop predicts complications in primary total knee arthroplasty: a retrospective cohort study using XGBoost algorithm. [PDF]
Huang L, Lin X, Zheng L, Zhu Y.
europepmc +1 more source
Predicting Corporate Social Ratings Using Machine Learning Models
ABSTRACT This study predicts Korean firms' environmental, social, and governance (ESG) social ratings by integrating firm‐performance indicators, human resource management indicators based on Global Reporting Initiative (GRI) Social Standards, and Job Planet‐based employee‐experience signals.
Eunjung Jung, Ahrom Kang, Joongsan Oh
wiley +1 more source
Development and internal-external validation of a risk prediction model for acute pain after HAIC for patients with liver cancer using logistic regression and XGBoost algorithm. [PDF]
Cao J +7 more
europepmc +1 more source
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source
XGBoost algorithm optimized by simulated annealing genetic algrithm for permeability prediction modeling of carbonate reservoirs. [PDF]
Huang C, Zhu X, Lu M, Zhang Y, Yang S.
europepmc +1 more source
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li +4 more
wiley +1 more source
Prediction model for spontaneous combustion temperature of coal based on PSO-XGBoost algorithm. [PDF]
Zhuo H, Li T, Lu W, Zhang Q, Ji L, Li J.
europepmc +1 more source

