Exhaled Breath Analysis Based Diabetes Detection with k-Nearest Neighbors Classifier-Reference-Cited by-同舟云学术

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Exhaled Breath Analysis Based Diabetes Detection with k-Nearest Neighbors Classifier

Published:2023-12-16 Issue: Volume: Page:126-130
ISSN:
Container-title:2023 16th International Symposium on Computational Intelligence and Design (ISCID)
language:
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Author:

Smieja Piotr J¹,Lu Jiang¹,Sun Qingquan²,Fu Xingang³,Zhang Ting⁴

Affiliation:

1. University of Houston - Clear Lake,Department of Computer Engineering,Houston,USA

2. California State University San Bernardino,School of Computer Science and Engineering,San Bernardino,USA

3. University of Nevada Reno,Dept. of Electrical and Biomedical Engineering,Reno,USA

4. University of Houston - Downtown,Department of Computer Science,Houston,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10494045/10494046/10494252.pdf?arnumber=10494252

Reference12 articles.

1. Diabetes Tests

2. Diabetic Ketoacidosis

3. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition

4. Breath Analysis: A Promising Tool for Disease Diagnosis—The Role of Sensors

5. Exhaled Breath Analysis for Diabetes Diagnosis and Monitoring: Relevance, Challenges and Possibilities

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