Exploring the association of metal mixture in blood to the kidney function and tumor necrosis factor alpha using machine learning methods-Reference-Cited by-同舟云学术

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Exploring the association of metal mixture in blood to the kidney function and tumor necrosis factor alpha using machine learning methods

Published:2023-10 Issue: Volume:265 Page:115528
ISSN:0147-6513
Container-title:Ecotoxicology and Environmental Safety
language:en
Short-container-title:Ecotoxicology and Environmental Safety

Author:

Luo Kuei-Hau,Wu Chih-Hsien^ORCID,Yang Chen-Cheng^ORCID,Chen Tzu-Hua^ORCID,Tu Hung-Pin^ORCID,Yang Cheng-Hong,Chuang Hung-Yi^ORCID

Funder

National Science and Technology Council

Kaohsiung Medical University

Kaohsiung Medical University Chung-Ho Memorial Hospital

Ministry of Education

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,Pollution,General Medicine

Reference66 articles.

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2. Emotion detection from bangla text corpus using naive bayes classifier, 2019 4th International Conference on Electrical Information and Communication Technology (EICT);Azmin,2019

3. Inductively coupled plasma mass spectrometry for directmulti-element analysis of diluted human blood andserum;Barany;J. Anal. At. Spectrom.,1997

4. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017;Bikbov;lancet,2020

5. Classification and regression trees;Breiman,1984

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