Publications › Journal article · 2020

A patient specific forecasting model for human albumin based on deep neural networks

C. Lei, Y. Wang, J. Zhao, K. Li, H. Jiang^* and Q. Wang^*

Computer Methods and Programs in Biomedicine, 196, 105555, 2020.

Abstract

Background and Objectives: Hypoalbuminemia can be life threatening among critically ill patients. In this study, we develop a patient-specific monitoring and forecasting model based on deep neural networks to predict concentrations of albumin and a set of selected biochemical markers for critically ill patients in real-time. Methods: Under the assumption that metabolism of a patient follows a patient-specific dynamical process

Cite

@article{lei2020pps,
  author = {Lei, C. and Wang, Y. and Zhao, J. and Li, K. and Jiang, H. and Wang, Q.},
  title = {A patient specific forecasting model for human albumin based on deep neural networks},
  journal = {Computer Methods and Programs in Biomedicine},
  volume = {196},
  pages = {105555},
  year = {2020},
  doi = {10.1016/j.cmpb.2020.105555},
}

Author marks: * corresponding, △ co-first, ♠ graduate student, ♣ undergraduate student, ♡ postdoc, at the time of the work.