Development and Validation of an Interpretable Machine Learning Model for Early Prognosis Prediction in ICU Patients with Malignant Tumors and Hyperkalemia
Zhijun Bu(Beijing University of Chinese Medicine), Zhao-Lan Liu(Beijing University of Chinese Medicine), Kecheng Li(Yunnan Agricultural University), Yuhuan Zhang(Hubei University of Chinese Medicine), Jian-Ping Liu(Beijing University of Chinese Medicine), Nan Zhang(University of International Business and Economics), Zhilin Chen(Beijing University of Chinese Medicine), Zu-Yi Chen(Beijing University of Chinese Medicine), Han-Wei Chi(Beijing University of Chinese Medicine), Shao-Shuai Yan(Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine), Run-Bing Xu(Beijing University of Chinese Medicine), Zhi-Lin Lu(Hubei University of Chinese Medicine), Feng Xu(Beijing University of Chinese Medicine), Nan Jiang(West China Medical Center of Sichuan University), Dan Wang(Wuhan University), Yuhan Hao(Jilin University)
Cited by 7
Related Papers
Comprehensive Integration of Single-Cell Data
|Cell|2019|16.9k
Integrated analysis of multimodal single-cell data
|Cell|2021|16.2k
Dictionary learning for integrative, multimodal and scalable single-cell analysis
|Nature Biotechnology|2023|4.9k
Scalable, multimodal profiling of chromatin accessibility, gene expression and protein levels in single cells
|Nature Biotechnology|2021|554
Integrated analysis of multimodal single-cell data
|bioRxiv (Cold Spring Harbor Laboratory)|2020|484