Applying 12 machine learning algorithms and Non-negative Matrix Factorization for robust prediction of lupus nephritis
Lisha Mou(Shenzhen Metro (China)), Meiying Wang(University of California, Los Angeles), Ying Lü(Shenzhen Second People's Hospital), Zuhui Pu(Shenzhen Metro (China)), Zijing Wu(Shenzhen Second People's Hospital), Xiaoyan Huang(Hebei University)
Cited by 6
Related Papers
Ultrafine particulate pollutants induce oxidative stress and mitochondrial damage.
|Environmental Health Perspectives|2003|2.1k
USE OF A STRATIFIED OXIDATIVE STRESS MODEL TO STUDY THE BIOLOGICAL EFFECTS OF AMBIENT CONCENTRATED AND DIESEL EXHAUST PARTICULATE MATTER
|Inhalation Toxicology|2002|252
The Immune Atlas of Human Deciduas With Unexplained Recurrent Pregnancy Loss
|Frontiers in Immunology|2021|110
Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning
|IEEE Transactions on Computational Biology and Bioinformatics|2020|84