Prediction of Renal Function by Urinary Lead and Cadmium — Based on Classification Decision Tree and Logistic Regression Model

Prediction of Renal Function by Urinary Lead and Cadmium — Based on Classification Decision Tree and Logistic Regression Model

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Biomedical and environmental sciences 2024-04, Vol.37 (3), p.331-335
Hauptverfasser: LI, Yang, WANG, Qing Yao, TIAN, Qing Hua, AN, Qi, YANG, Yu Tong, ZHANG, Jia Chen, LI, Shuang Jing, ZHOU, Han, LIANG, Yun Fen, SHEN, Wei Tong, MU, Li Na, LEI, Li Jian
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 335
container_issue 3
container_start_page 331
container_title Biomedical and environmental sciences
container_volume 37
creator LI, Yang
WANG, Qing Yao
TIAN, Qing Hua
AN, Qi
YANG, Yu Tong
ZHANG, Jia Chen
LI, Shuang Jing
ZHOU, Han
LIANG, Yun Fen
SHEN, Wei Tong
MU, Li Na
LEI, Li Jian
description
doi_str_mv 10.3967/bes2024.037
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_3034245987</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0895398824000576</els_id><sourcerecordid>3034245987</sourcerecordid><originalsourceid>FETCH-LOGICAL-e172t-142472c16a0abdff8925d8b5b8faa9c08b6d1d1e82d0739b0a92739372d4cdb43</originalsourceid><addsrcrecordid>eNo1kblOAzEQhi0EgnBU9MglzQYfu1m7hHBKQSCU1JaPWWS0B9i7SOnyEDwhT4JzUM1o5ptD_4_QOSVjLifllYHICMvHhJd7aMQYzTNCJdlHIyJkkXEpxBE6jvGDkJzKXByiIy4KwaQUI7R6DeC87X3X4q7Cb9DqGt8P7bZilngRfKvDEs9AO6xbh6faNX5o8O_qB9_oCA4ncFrrGH3lrd7M3YL1cZ3MA8Bmata9-9h7my68B4ib5nPnoD5FB5WuI5zt4gla3N_Np4_Z7OXhaXo9y4CWrM9ozvKSWTrRRBtXVUKywglTGFFpLS0RZuKooyCYIyWXhmjJUuQlc7l1Jucn6HK79zN0XwPEXjU-Wqhr3UI3RMUJTycKKcqEXuzQwTTg1GfwTZJA_auWgGILQHr420NQ0XpobVIygO2V67yiRK3dUTt3VHKH_wHkQIH2</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3034245987</pqid></control><display><type>article</type><title>Prediction of Renal Function by Urinary Lead and Cadmium — Based on Classification Decision Tree and Logistic Regression Model</title><source>Elsevier ScienceDirect Journals Complete</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>LI, Yang ; WANG, Qing Yao ; TIAN, Qing Hua ; AN, Qi ; YANG, Yu Tong ; ZHANG, Jia Chen ; LI, Shuang Jing ; ZHOU, Han ; LIANG, Yun Fen ; SHEN, Wei Tong ; MU, Li Na ; LEI, Li Jian</creator><creatorcontrib>LI, Yang ; WANG, Qing Yao ; TIAN, Qing Hua ; AN, Qi ; YANG, Yu Tong ; ZHANG, Jia Chen ; LI, Shuang Jing ; ZHOU, Han ; LIANG, Yun Fen ; SHEN, Wei Tong ; MU, Li Na ; LEI, Li Jian</creatorcontrib><identifier>ISSN: 0895-3988</identifier><identifier>EISSN: 2214-0190</identifier><identifier>DOI: 10.3967/bes2024.037</identifier><identifier>PMID: 38582998</identifier><language>eng</language><publisher>China: Elsevier B.V</publisher><ispartof>Biomedical and environmental sciences, 2024-04, Vol.37 (3), p.331-335</ispartof><rights>2024 The Editorial Board of Biomedical and Environmental Sciences</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.3967/bes2024.037$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38582998$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>LI, Yang</creatorcontrib><creatorcontrib>WANG, Qing Yao</creatorcontrib><creatorcontrib>TIAN, Qing Hua</creatorcontrib><creatorcontrib>AN, Qi</creatorcontrib><creatorcontrib>YANG, Yu Tong</creatorcontrib><creatorcontrib>ZHANG, Jia Chen</creatorcontrib><creatorcontrib>LI, Shuang Jing</creatorcontrib><creatorcontrib>ZHOU, Han</creatorcontrib><creatorcontrib>LIANG, Yun Fen</creatorcontrib><creatorcontrib>SHEN, Wei Tong</creatorcontrib><creatorcontrib>MU, Li Na</creatorcontrib><creatorcontrib>LEI, Li Jian</creatorcontrib><title>Prediction of Renal Function by Urinary Lead and Cadmium — Based on Classification Decision Tree and Logistic Regression Model</title><title>Biomedical and environmental sciences</title><addtitle>Biomed Environ Sci</addtitle><issn>0895-3988</issn><issn>2214-0190</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNo1kblOAzEQhi0EgnBU9MglzQYfu1m7hHBKQSCU1JaPWWS0B9i7SOnyEDwhT4JzUM1o5ptD_4_QOSVjLifllYHICMvHhJd7aMQYzTNCJdlHIyJkkXEpxBE6jvGDkJzKXByiIy4KwaQUI7R6DeC87X3X4q7Cb9DqGt8P7bZilngRfKvDEs9AO6xbh6faNX5o8O_qB9_oCA4ncFrrGH3lrd7M3YL1cZ3MA8Bmata9-9h7my68B4ib5nPnoD5FB5WuI5zt4gla3N_Np4_Z7OXhaXo9y4CWrM9ozvKSWTrRRBtXVUKywglTGFFpLS0RZuKooyCYIyWXhmjJUuQlc7l1Jucn6HK79zN0XwPEXjU-Wqhr3UI3RMUJTycKKcqEXuzQwTTg1GfwTZJA_auWgGILQHr420NQ0XpobVIygO2V67yiRK3dUTt3VHKH_wHkQIH2</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>LI, Yang</creator><creator>WANG, Qing Yao</creator><creator>TIAN, Qing Hua</creator><creator>AN, Qi</creator><creator>YANG, Yu Tong</creator><creator>ZHANG, Jia Chen</creator><creator>LI, Shuang Jing</creator><creator>ZHOU, Han</creator><creator>LIANG, Yun Fen</creator><creator>SHEN, Wei Tong</creator><creator>MU, Li Na</creator><creator>LEI, Li Jian</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>20240401</creationdate><title>Prediction of Renal Function by Urinary Lead and Cadmium — Based on Classification Decision Tree and Logistic Regression Model</title><author>LI, Yang ; WANG, Qing Yao ; TIAN, Qing Hua ; AN, Qi ; YANG, Yu Tong ; ZHANG, Jia Chen ; LI, Shuang Jing ; ZHOU, Han ; LIANG, Yun Fen ; SHEN, Wei Tong ; MU, Li Na ; LEI, Li Jian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-e172t-142472c16a0abdff8925d8b5b8faa9c08b6d1d1e82d0739b0a92739372d4cdb43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>LI, Yang</creatorcontrib><creatorcontrib>WANG, Qing Yao</creatorcontrib><creatorcontrib>TIAN, Qing Hua</creatorcontrib><creatorcontrib>AN, Qi</creatorcontrib><creatorcontrib>YANG, Yu Tong</creatorcontrib><creatorcontrib>ZHANG, Jia Chen</creatorcontrib><creatorcontrib>LI, Shuang Jing</creatorcontrib><creatorcontrib>ZHOU, Han</creatorcontrib><creatorcontrib>LIANG, Yun Fen</creatorcontrib><creatorcontrib>SHEN, Wei Tong</creatorcontrib><creatorcontrib>MU, Li Na</creatorcontrib><creatorcontrib>LEI, Li Jian</creatorcontrib><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Biomedical and environmental sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>LI, Yang</au><au>WANG, Qing Yao</au><au>TIAN, Qing Hua</au><au>AN, Qi</au><au>YANG, Yu Tong</au><au>ZHANG, Jia Chen</au><au>LI, Shuang Jing</au><au>ZHOU, Han</au><au>LIANG, Yun Fen</au><au>SHEN, Wei Tong</au><au>MU, Li Na</au><au>LEI, Li Jian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of Renal Function by Urinary Lead and Cadmium — Based on Classification Decision Tree and Logistic Regression Model</atitle><jtitle>Biomedical and environmental sciences</jtitle><addtitle>Biomed Environ Sci</addtitle><date>2024-04-01</date><risdate>2024</risdate><volume>37</volume><issue>3</issue><spage>331</spage><epage>335</epage><pages>331-335</pages><issn>0895-3988</issn><eissn>2214-0190</eissn><cop>China</cop><pub>Elsevier B.V</pub><pmid>38582998</pmid><doi>10.3967/bes2024.037</doi><tpages>5</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0895-3988
ispartof Biomedical and environmental sciences, 2024-04, Vol.37 (3), p.331-335
issn 0895-3988
2214-0190
language eng
recordid cdi_proquest_miscellaneous_3034245987
source Elsevier ScienceDirect Journals Complete; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
title Prediction of Renal Function by Urinary Lead and Cadmium — Based on Classification Decision Tree and Logistic Regression Model
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T06%3A51%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prediction%20of%20Renal%20Function%20by%20Urinary%20Lead%20and%20Cadmium%20%E2%80%94%20Based%20on%20Classification%20Decision%20Tree%20and%20Logistic%20Regression%20Model&rft.jtitle=Biomedical%20and%20environmental%20sciences&rft.au=LI,%20Yang&rft.date=2024-04-01&rft.volume=37&rft.issue=3&rft.spage=331&rft.epage=335&rft.pages=331-335&rft.issn=0895-3988&rft.eissn=2214-0190&rft_id=info:doi/10.3967/bes2024.037&rft_dat=%3Cproquest_pubme%3E3034245987%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3034245987&rft_id=info:pmid/38582998&rft_els_id=S0895398824000576&rfr_iscdi=true