Machine learning Nomogram for Predicting endometrial lesions after tamoxifen therapy in breast Cancer patients
In this study, we developed and evaluated three machine learning models to accurately predict the risk of endometrial lesions in...
predicting
Decoupling and predicting natural gas deviation factor using machine learning methods
Basic datasetThe foundational Z-factor data for developing the machine learning models were sourced from gas wells of the Jurassic Shaximiao...
Predicting mine water inflow volumes using a decomposition-optimization algorithm-machine learning approach
Change characteristics of water inflowFigure 4a presents the measured data for water inflow volumes at the Gaojiabao mine from 2020 to...
A personalized mRNA signature for predicting hypertrophic cardiomyopathy applying machine learning methods
Wang, L. et al. Assessment of reversibility in pulmonary hypertension related to congenital heart disease by using biomarkers and clinical...
