Small samples-oriented intrinsically explainable machine learning using Variational Bayesian Logistic Regression: An intensive care unit readmission prediction case for liver transplantation patients-Reference-Cited by-同舟云学术

Small samples-oriented intrinsically explainable machine learning using Variational Bayesian Logistic Regression: An intensive care unit readmission prediction case for liver transplantation patients

Published:2024-01 Issue: Volume:235 Page:121138
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Liu Jinping^ORCID,Wu Xiaoqiang^ORCID,Xie Yongming^ORCID,Tang Zhaohui^ORCID,Xie Yongfang^ORCID,Gong Subo^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

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4. A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications;Alzubaidi;Journal of Big Data,2023

5. Factors associated with long-term graft survival in pediatric kidney transplant recipients;Anand;Pediatric Transplantation,2021

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