Identification of Diagnostic Biomarkers for Cardiovascular Diseases and Diabetes Mellitus Through Raman Spectroscopy and Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Identification of Diagnostic Biomarkers for Cardiovascular Diseases and Diabetes Mellitus Through Raman Spectroscopy and Machine Learning Algorithms

Published:2023-12-18 Issue: Volume:21 Page:558-563
ISSN:
Container-title:2023 16th International Conference on Developments in eSystems Engineering (DeSE)
language:
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Author:

Wilson Megan¹,Obe Dhiya Al-Jumeily²,Abbas Ismail³,Khan Iftikhar¹,Birkett Jason¹,Tang Leung⁴,Assi Sulaf¹

Affiliation:

1. Liverpool John Moores University,Pharmacy and Biomolecular Sciences,Liverpool,United Kingdom

2. Liverpool John Moores University,Computer Science and Mathematics,Liverpool,United Kingdom

3. Lebanese University,Faculty of Science,Beirut,Lebonon

4. Chemical Analysis Group Agilent Technology,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10468572/10468673/10468923.pdf?arnumber=10468923

Reference37 articles.

1. A paradigm shift in medicine: A comprehensive review of network-based approaches

2. Medical applications of Raman spectroscopy: From proof of principle to clinical implementation

3. Raman spectroscopy for medical diagnostics — From in-vitro biofluid assays to in-vivo cancer detection

4. Raman Spectroscopy: A Novel Technology for Gastric Cancer Diagnosis

5. Study Designs and Statistical Analyses for Biomarker Research

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