Results 141 to 150 of about 13,208 (247)

Application of Machine Learning Algorithms in Estimating Live Weight of Yucatecan Criollo Pigs Through Biometric Measurements. [PDF]

Animals (Basel)
Sierra-Vasquez AC, Tırınk C, Mezo-Solis JA, Önder H, Cih-Angulo N, Şen U, Rodriguez-Perez JC, Bojorquez-Cat JC, Chekirov K, Coşkun İ, Chay-Canul AJ.   +10 more
europepmc   +1 more source

Tertiary Lymphoid Structures as Predictors of Recurrence in Colorectal Cancer: Development and Validation of a Machine Learning‐Based Scoring Model

Cancer Medicine, Volume 15, Issue 8, August 2026.
ABSTRACT Background Tertiary lymphoid structures (TLS) are prognostic immune aggregates in the tumor microenvironment, but the value of location‐specific TLS features for predicting colorectal cancer (CRC) recurrence remains unclear. This study developed and internally validated a machine‐learning (ML) model integrating TLS features for recurrence ...
Xian‐Hua Lei, Rong Li, Dong‐Mei Wang, Li Liu, Zhi‐Qiang Wang, Hui‐Juan Li   +5 more
wiley   +1 more source

Enhancing wind and solar energy forecasting through time-series feature engineering and ensemble machine learning. [PDF]

Sci Rep
Elmunim NA, Khlifi MA, Aldawsari MA, Algarni F, Albalawi A, Ismail A, Hassan BM.   +6 more
europepmc   +1 more source

Survival Outcomes of Patients With Colorectal Cancer After Primary Surgery: A Population‐Based Study in Hainan, China

Cancer Medicine, Volume 15, Issue 8, August 2026.
ABSTRACT Background Colorectal cancer (CRC) is a major public health burden in Hainan Province due to its high incidence and mortality, yet region‐specific prognostic data are lacking. This study evaluates prognostic factors in postsurgical CRC patients to guide localized prevention and treatment.
Le Du, Luyao Sun, Dongsheng Ge, Mingfa Wang, Benguo Yu, Wenjun Yang, Wenlong Yang, Ruyuan An, Junchao Li, Jike Zhu, Zaipan Wang, Ning Liu, Wenting Cao   +12 more
wiley   +1 more source

Development and Validation of an Interpretable Machine Learning‐Based Clinical Prediction Model for Short‐Term Mortality in Intracerebral Hemorrhage With Thrombocytopenia: A Multicenter Study

CNS Neuroscience &Therapeutics, Volume 32, Issue 8, August 2026.
In this study, we developed and validated a clinical prediction model for the early prediction of short‐term mortality in patients with intracerebral hemorrhage complicated by thrombocytopenia. The model demonstrated good internal discrimination and acceptable external performance and may serve as a complementary tool for individualized risk ...
Dachang Qiu, Guangwei Li, Ze Wang, Lin Wang, Lanlan Wang, Yongfei Dong   +5 more
wiley   +1 more source

Predicting Emergency Department Patient Arrivals at Hospitals Using Machine Learning Techniques. [PDF]

Healthcare (Basel)
Alenezi AM, Sameh M, Aljohani M, Alharbi H.   +3 more
europepmc   +1 more source

Execution Time Optimization Through Feature and Temporal Reduction in Asset Pricing

Concurrency and Computation: Practice and Experience, Volume 38, Issue 15, August 2026.
ABSTRACT High‐dimensional financial machine learning (ML) pipelines are computational workloads as much as predictive models: their practical value depends on runtime, memory footprint, scalability, and the ability to retrain under resource constraints. This paper treats empirical asset pricing as a demanding real‐world workload and proposes Cost‐Aware
Umit Demirbaga, Yue Xu, Evrim Guler
wiley   +1 more source

Development of a Machine Learning Model for Distant Metastasis Risk Stratification in Acral Melanoma. [PDF]

Cancer Rep (Hoboken)
Shanyuan Y, Rundong Z, Meng C, Zequn Q, Qian Z, Qun L, Yan W.   +6 more
europepmc   +1 more source

Categorical Boosting‐PSO: A SHAP‐Interpretable Hybrid Framework for High‐Fidelity Wax Appearance Temperature Prediction in Subsea Pipelines

Engineering Reports, Volume 8, Issue 8, August 2026.
CatBoost–PSO accurately predicts wax appearance temperature from oil density, wax content, and pour point temperature, achieving R2 = 0.9760 and RMSE = 1.8106 K. External validation, SHAP interpretation, and low computational cost support rapid wax‐risk screening for subsea pipeline flow assurance.
H. M. Rayhan Rifat, Abdullah Abduljabbar, Mysara Eissa Mohyaldinn   +2 more
wiley   +1 more source

Machine Learning and Geospatial Modeling of Climate Change Impacts on Ethiopian Honeybees for Conservation and Resilient Agriculture. [PDF]

Ecol Evol
Tulu D, Yasin KH, Gelete TB, Ahmed B, Belina D.   +4 more
europepmc   +1 more source