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1 Ergebnisse
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Mean and standard deviation of the predictive values of mac..:
Miyoko Massago
;
Mamoru Massago
;
Pedro Henrique Iora
...
doi:10.1371/journal.pone.0295970.t002. , 2024
Link:
https://doi.org/10.1371/journal.pone.0295970.t002
RT Journal T1
Mean and standard deviation of the predictive values of machine learning models evaluated
UL https://suche.suub.uni-bremen.de/peid=base-ftgriffithunifig:oai:figshare.com:article_25337146&Exemplar=1&LAN=DE A1 Miyoko Massago A1 Mamoru Massago A1 Pedro Henrique Iora A1 Sanderland José Tavares Gurgel A1 Celso Ivam Conegero A1 Idalina Diair Regla Carolino A1 Maria Muzanila Mushi A1 Giane Aparecida Chaves Forato A1 João Vitor Perez de Souza A1 Thiago Augusto Hernandes Rocha A1 Samile Bonfim A1 Catherine Ann Staton A1 Oscar Kenji Nihei A1 João Ricardo Nickenig Vissoci A1 Luciano de Andrade YR 2024 K1 Molecular Biology K1 Pharmacology K1 Biotechnology K1 Sociology K1 Cancer K1 Science Policy K1 Virology K1 Environmental Sciences not elsewhere classified K1 Biological Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 mean global values K1 803 &# 177 K1 726 &# 177 K1 705 &# 177 K1 680 &# 177 K1 675 &# 177 K1 485 &# 177 K1 positive predictive value K1 smoking cessation program K1 best model based K1 positive outcomes correctly K1 relapses also promoted K1 decision tree flowchart K1 machine learning algorithm K1 therapeutic intervention success K1 eight ml algorithms K1 therapeutic intervention K1 machine learning K1 decision tree K1 best algorithm K1 relapses contributed K1 quit smoking K1 positive outcome K1 variables related K1 odds ratio K1 metrics described K1 increasing services K1 important strategies K1 higher consumption K1 drug treatment K1 correctly predict K1 cigarettes showed K1 cigarettes resulted K1 also measured K1 12 variables JF doi:10.1371/journal.pone.0295970.t002 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0295970.t002 DO https://doi.org/10.1371/journal.pone.0295970.t002 SF ELIB - SuUB Bremen
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