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1 Ergebnisse
1
Feature importance ranking for CVD hospitalization predicti..:
Kullaya Takkavatakarn
;
Yang Dai
;
Huei Hsun Wen
...
doi:10.1371/journal.pone.0297919.g003. , 2024
Link:
https://doi.org/10.1371/journal.pone.0297919.g003
RT Journal T1
Feature importance ranking for CVD hospitalization prediction using RF algorithm
UL https://suche.suub.uni-bremen.de/peid=base-ftdeakinunifig:oai:figshare.com:article_25190397&Exemplar=1&LAN=DE A1 Kullaya Takkavatakarn A1 Yang Dai A1 Huei Hsun Wen A1 Justin Kauffman A1 Alexander Charney A1 Steven G. Coca A1 Girish N. Nadkarni A1 Lili Chan YR 2024 K1 Medicine K1 Biotechnology K1 Sociology K1 Science Policy K1 Biological Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 whether machine learning K1 using different measures K1 tested several algorithms K1 routinely collected clinical K1 new york city K1 mount sinai bio K1 level social determinants K1 patients &# 8217 K1 machine learning model K1 predicted education outperformed K1 xlink "> area K1 predicted educational attainment K1 level educational attainment K1 implementing ml techniques K1 also significantly higher K1 77 versus 0 K1 using zip code K1 impact model performance K1 model utilizing survey K1 derived education achieved K1 educational attainment K1 predicted education K1 level education K1 xlink "> K1 significantly higher K1 zip code K1 model relying K1 model incorporating K1 ml model K1 715 patients K1 derived education K1 zip codes K1 predictive performance K1 highest performance K1 validated questionnaire K1 research instead K1 predicting cardiovascular K1 participant ' K1 individual sdohs K1 home addresses K1 either survey K1 demographic data K1 consequently increase K1 census tracts JF doi:10.1371/journal.pone.0297919.g003 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0297919.g003 DO https://doi.org/10.1371/journal.pone.0297919.g003 SF ELIB - SuUB Bremen
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