Multivariate computational analysis of biosensor's data for improved CD64 quantification for sepsis diagnosis-Reference-Cited by-同舟云学术

Multivariate computational analysis of biosensor's data for improved CD64 quantification for sepsis diagnosis

Published:2018 Issue:8 Volume:18 Page:1231-1240
ISSN:1473-0197
Container-title:Lab on a Chip
language:en
Short-container-title:Lab Chip

Author:

Hassan U.¹²³⁴⁵,Zhu R.⁶⁷⁸⁵,Bashir R.¹²³⁴⁵^ORCID

Affiliation:

1. Department of Bioengineering

2. University of Illinois at Urbana-Champaign

3. 1270 Digital Computer Laboratory

4. Urbana

5. USA

6. Department of Statistics

7. University of Illinois at Urbana Champaign

8. Champaign

Abstract

Multivariate artificial neural network model have shown improved accuracy in determining CD64 expression levels from the biosensor's data for sepsis diagnosis.

Funder

University of Illinois at Urbana-Champaign

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

Link

http://pubs.rsc.org/en/content/articlepdf/2018/LC/C8LC00108A

Reference39 articles.

1. Intensive care unit readmissions in U.S. hospitals

2. Benchmarking the Incidence and Mortality of Severe Sepsis in the United States*

3. Critical care and the global burden of critical illness in adults

4. Surviving the first hours in sepsis: getting the basics right (an intensivist's perspective)

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Microfluidic systems for infectious disease diagnostics;Lab on a Chip;2024

2. Chemometrics‐based signal processing methods for biosensors in health and environment: A review;Electroanalysis;2023-11-20

3. Recent Progress on Biosensors for the Early Detection of Neurological Disorders.;ChemistrySelect;2022-12

4. Biochip with multi-planar electrodes geometry for differentiation of non-spherical bioparticles in a microchannel;Scientific Reports;2021-06-04

5. The potential of artificial intelligence to improve patient safety: a scoping review;npj Digital Medicine;2021-03-19