[The application of machine learning in the auxiliary diagnosis of specific learning disorder]. [PDF]
Zhao H, Mei SL, Wang JY, Chi X.
europepmc +1 more source
[Machine learning-based prediction model for caries in the first molars of 9-year-old children in Suzhou]. [PDF]
Chen L, Wang X, Zhu K, Ren K, Wu Z.
europepmc +1 more source
[Machine Learning-Assisted Efficacy Evaluation of Resveratrol Therapy in a Mouse Model of Acute Pancreatitis]. [PDF]
Li Z +9 more
europepmc +1 more source
[Enhancement of radiomics-based machine learning models for predicting efficacy of high-intensity focused ultrasound ablation of uterine fibroids using undersampling methods]. [PDF]
Cui Y +5 more
europepmc +1 more source
[Nomogram and machine learning models for predicting in-hospital mortality in sepsis patients with deep vein thrombosis]. [PDF]
Duan H, Liu H, Sun C, Qi J.
europepmc +1 more source
Machine learning-driven risk assessment of coronary heart disease: Analysis of NHANES data from 1999 to 2018. [PDF]
Lu J +7 more
europepmc +1 more source
[Construction of a machine learning ensemble prediction model for gas chromatographic retention index on stationary phases with different polarities]. [PDF]
Wang QY, Zhu YL, Li XH.
europepmc +1 more source
[Predicting prolonged length of intensive care unit stay via machine learning]. [PDF]
Wu JY, Lin Y, Lin K, Hu YH, Kong GL.
europepmc +1 more source
Construction of a treatment response prediction model for multiple myeloma based on multi-omics and machine learning. [PDF]
Zhou X, Gui R, Liu J, Gao M.
europepmc +1 more source
[Identification of high-risk preoperative blood indicators and baseline characteristics for multiple postoperative complications in rheumatoid arthritis patients undergoing total knee arthroplasty: a multi-machine learning feature contribution analysis]. [PDF]
Zhu K +6 more
europepmc +1 more source

