Results 231 to 240 of about 128,009 (300)

Predicting and explaining poor prognosis in diabetic kidney disease using SHAP-based interpretable machine learning. [PDF]

iScience
Qian M, Li L, Cheng Y, Hou Y, Fu S, Xu Z.   +5 more
europepmc   +1 more source

On the Uniform Consistency of Bayes Estimates with Multinomial Probabilities [PDF]

P. Diaconis, D. Freedman
core  

Exploration of comorbidity mechanisms between chronic pain and depression: Machine learning prediction models and SHAP interpretability analysis based on the CHARLS cohort. [PDF]

PLoS One
Dai TM, Yuan J, Ma YY, Liu JJ.
europepmc   +1 more source

A Multicenter, Open‐Label, Phase 2 Trial Comparing Crizanlizumab Combined With Standard Therapy to Standard Therapy Alone on Renal Function in Patients With Sickle Cell Nephropathy (STEADFAST)

American Journal of Hematology, EarlyView.
Kenneth I. Ataga, Pablo Bartolucci, Santosh L. Saraf, Vimal K. Derebail, Adlette Inati, Jeffrey D. Lebensburger, Laurie DeBonnett, Rodolfo D. Cancado, Claire C. Sharpe   +8 more
wiley   +1 more source

A hybrid feature selection framework combining Artificial Bee Colony and decision trees for CVD risk assessment. [PDF]

Sci Rep
Pavithra V, Raja JE, Patil S.
europepmc   +1 more source

Network analysis of optimal deep or machine learning strategies for classification and detection of Alzheimer's disease based on MRI scanning. [PDF]

Front Neurosci
Zhang Q, Ma L, Zhao L, Zhu S, Qi H, Pan Z, Zhou J.   +6 more
europepmc   +1 more source

Interval Prediction of Remaining Useful Life Based on Uncertainty Quantification with Bayesian Convolutional Neural Networks Featuring Dual-Output Units. [PDF]

Sensors (Basel)
Qu Z, He J, Liu Y, Mao S, Han X.
europepmc   +1 more source

Early Type 2 diabetes risk prediction using explainable machine learning in a two-stage approach. [PDF]

Front Digit Health
Majyambere S, Lindgren T, Twizere C, Ntakirutimana I.   +3 more
europepmc   +1 more source

Applying Automated Artificial Intelligence Models on Lateral Cephalometric Parameters to Accurately Classify Arab Orthodontic Patient Patterns. [PDF]

Clin Exp Dent Res
Midlej K, Proff P, Watted N, Iraqi FA.
europepmc   +1 more source