A deep learning solution to recommend laboratory reduction strategies in ICU.

Journal: International journal of medical informatics

Published Date: Sep 22, 2020

Abstract

OBJECTIVE: To build a machine-learning model that predicts laboratory test results and provides a promising lab test reduction strategy, using spatial-temporal correlations.

Authors

Lishan Yu

School of Biomedical Informatics, UTHealth, United States; Department of Mathematical Sciences, Tsinghua University, China.
Linda Li

Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas.
Elmer Bernstam

School of Biomedical Informatics and Department of Internal Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Xiaoqian Jiang

School of Biomedical Informatics, University of Texas Health, Science Center at Houston, Houston, TX, USA.

Keywords

Deep Learning Humans Intensive Care Units Laboratories Machine Learning ROC Curve

External Resources

View on PubMed Access via DOI PubMed (33010730)

A deep learning solution to recommend laboratory reduction strategies in ICU.

Abstract

Authors

Keywords

External Resources

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