Diagnosis of inaccessible infections using infrared microscopy of white blood cells and machine learning algorithms-Reference-Cited by-同舟云学术

Diagnosis of inaccessible infections using infrared microscopy of white blood cells and machine learning algorithms

Published:2020 Issue:21 Volume:145 Page:6955-6967
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Agbaria Adam H.¹²³⁴,Beck Guy⁵⁶⁷⁴^ORCID,Lapidot Itshak⁸⁹¹⁰¹¹⁴,Rich Daniel H.¹²³⁴,Kapelushnik Joseph⁵⁶⁷⁴,Mordechai Shaul¹²³⁴^ORCID,Salman Ahmad¹¹²¹³⁴^ORCID,Huleihel Mahmoud¹⁴¹⁵¹⁶¹⁷³

Affiliation:

1. Department of Physics

2. Ben-Gurion University

3. Beer-Sheva 84105

4. Israel

5. Department of Hematology

6. Soroka University Medical Center

7. Beer-Sheva

8. Department of Electrical and Electronics Engineering

9. ACLP-Afeka Center for Lanjguage Processing

10. Afeka Tel-Aviv Academic College of Engineering

11. Tel-Aviv 69107

12. SCE-Sami Shamoon College of Engineering

13. Beer-Sheva 84100

14. Department of Microbiology

15. Immunology and Genetics

16. Faculty of Health Sciences

17. Ben-Gurion University of the Negev

Abstract

Rapid and objective diagnosis of the etiology of inaccessible infections by analyzing WBCs spectra, measured by FTIR spectroscopy, using machine-learning.

Funder

Israel Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/AN/D0AN00752H

Reference67 articles.

1. Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European Economic Area in 2015: a population-level modelling analysis

2. Global burden of respiratory infections due to seasonal influenza in young children: a systematic review and meta-analysis

3. A. K. Abbas , A. H.Lichtman and S.Pillai , Cellular and Molecular Immunology , Saunders/Elsevier , Philadelphia , 9th edn, 2010