Results 201 to 210 of about 29,456 (261)

Long‐term prediction of epilepsy following traumatic brain injury among veterans using routine clinical data

Epilepsia, EarlyView.
Abstract Objective Despite elevated risk for epilepsy following traumatic brain injury (TBI), there are limited tools to assess epilepsy risk following TBI using routine clinical data. The objective of this study was to develop and validate a machine learning approach to predict the onset of posttraumatic epilepsy (PTE) over varying time horizons ...
Mustafa Ozmen, Shashank Vadlamani, James J. Gugger, Megan Amuan, Ramon Diaz‐Arrastia, Mary Jo Pugh, Eamonn Kennedy   +6 more
wiley   +1 more source

Global burden of varicella in children aged 5-9 y, relationship with vaccination policy indicators, and projected trends to 2030. [PDF]

Hum Vaccin Immunother
Zeng Z, Ma X, Zhang H, Yuan D, Cao Y, Liu Y, Qiu J, Zhou C.   +7 more
europepmc   +1 more source

Identifying Dominant Factors and Combined Effects of Shallow Groundwater Nitrate Contamination in the Guanzhong Basin Using PSO-XGBoost-SHAP. [PDF]

Water Environ Res
Wang K, Zhou Y, Ji J, Wang D, Zhou T.
europepmc   +1 more source

Interpretable hybrid deep learning features of pectoralis on low-dose chest CT for detecting type 2 diabetes. [PDF]

Front Endocrinol (Lausanne)
Guo Y, Wang S, Lai J, Liu X, Lyu S, Chao H, Kong D, Wang X, Zhao Q.   +8 more
europepmc   +1 more source

Key biomechanical features of jump-landing under cognitive dual-task conditions: an XGBoost-SHAP-based explainable machine learning analysis. [PDF]

Front Bioeng Biotechnol
Zhu Y, Zhang Y, Ma Q, Fang M, Cui R, Yu X, Chen S.   +6 more
europepmc   +1 more source

Predicting student academic performance using TabPFN and SHAP: An interpretable machine learning approach. [PDF]

PLoS One
Yin Q.
europepmc   +1 more source