Driving risk status prediction using Bayesian networks and logistic regression

Lixin Yan(Sun Yat-sen University), Bin Ran(Southeast University), Yishi Zhang(Children's Hospital of Chongqing Medical University), Dunyao Zhu(Wuhan University of Technology), Liyan Zhang(Suzhou University of Science and Technology), Zhen Huang(Wuhan University of Technology)
IET Intelligent Transport Systems
August 14, 2017
10.1049/iet-its.2016.0207
Cited by 40

Related Papers

Deep learning for autonomous ship-oriented small ship detection
|Safety Science|2020|207
Long non-coding RNA <i>UCA1</i> induces non-T790M acquired resistance to EGFR-TKIs by activating the AKT/mTOR pathway in <i>EGFR</i>-mutant non-small cell lung cancer
|Oncotarget|2015|149
Spatial–temporal short-term traffic flow prediction model based on dynamical-learning graph convolution mechanism
|Information Sciences|2022|89
The <i>Bim</i> deletion polymorphism clinical profile and its relation with tyrosine kinase inhibitor resistance in Chinese patients with non–small cell lung cancer
|Cancer|2014|87
Microarray expression profile of long non-coding RNAs in EGFR-TKIs resistance of human non-small cell lung cancer
|Oncology Reports|2014|82