Adaptive best subset selection algorithm and genetic algorithm aided ensemble learning method identified a robust severity score of COVID‐19 patients

Bibliographic Details
Main Authors: Weikaixin Kong, Jie Zhu, Suzhen Bi, Liting Huang, Peng Wu, Su‐Jie Zhu
Format: Article
Language:English
Published: Wiley 2023-08-01
Series:iMeta
Online Access:https://doi.org/10.1002/imt2.126
_version_ 1797740160813629440
author Weikaixin Kong
Jie Zhu
Suzhen Bi
Liting Huang
Peng Wu
Su‐Jie Zhu
author_facet Weikaixin Kong
Jie Zhu
Suzhen Bi
Liting Huang
Peng Wu
Su‐Jie Zhu
author_sort Weikaixin Kong
collection DOAJ
first_indexed 2024-03-12T14:08:37Z
format Article
id doaj.art-5648be5dd9094ebe9ca2716488a8ac4a
institution Directory Open Access Journal
issn 2770-596X
language English
last_indexed 2024-03-12T14:08:37Z
publishDate 2023-08-01
publisher Wiley
record_format Article
series iMeta
spelling doaj.art-5648be5dd9094ebe9ca2716488a8ac4a2023-08-21T10:57:33ZengWileyiMeta2770-596X2023-08-0123n/an/a10.1002/imt2.126Adaptive best subset selection algorithm and genetic algorithm aided ensemble learning method identified a robust severity score of COVID‐19 patientsWeikaixin Kong0Jie Zhu1Suzhen Bi2Liting Huang3Peng Wu4Su‐Jie Zhu5Institute for Molecular Medicine Finland (FIMM), HiLIFE University of Helsinki Helsinki FinlandInstitute for Molecular Medicine Finland (FIMM), HiLIFE University of Helsinki Helsinki FinlandInstitute of Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine Qingdao University Qingdao ChinaInstitute of Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine Qingdao University Qingdao ChinaCancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Medical College, Tongji Hospital Huazhong University of Science and Technology Wuhan ChinaInstitute of Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine Qingdao University Qingdao Chinahttps://doi.org/10.1002/imt2.126
spellingShingle Weikaixin Kong
Jie Zhu
Suzhen Bi
Liting Huang
Peng Wu
Su‐Jie Zhu
Adaptive best subset selection algorithm and genetic algorithm aided ensemble learning method identified a robust severity score of COVID‐19 patients
iMeta
title Adaptive best subset selection algorithm and genetic algorithm aided ensemble learning method identified a robust severity score of COVID‐19 patients
title_full Adaptive best subset selection algorithm and genetic algorithm aided ensemble learning method identified a robust severity score of COVID‐19 patients
title_fullStr Adaptive best subset selection algorithm and genetic algorithm aided ensemble learning method identified a robust severity score of COVID‐19 patients
title_full_unstemmed Adaptive best subset selection algorithm and genetic algorithm aided ensemble learning method identified a robust severity score of COVID‐19 patients
title_short Adaptive best subset selection algorithm and genetic algorithm aided ensemble learning method identified a robust severity score of COVID‐19 patients
title_sort adaptive best subset selection algorithm and genetic algorithm aided ensemble learning method identified a robust severity score of covid 19 patients
url https://doi.org/10.1002/imt2.126
work_keys_str_mv AT weikaixinkong adaptivebestsubsetselectionalgorithmandgeneticalgorithmaidedensemblelearningmethodidentifiedarobustseverityscoreofcovid19patients
AT jiezhu adaptivebestsubsetselectionalgorithmandgeneticalgorithmaidedensemblelearningmethodidentifiedarobustseverityscoreofcovid19patients
AT suzhenbi adaptivebestsubsetselectionalgorithmandgeneticalgorithmaidedensemblelearningmethodidentifiedarobustseverityscoreofcovid19patients
AT litinghuang adaptivebestsubsetselectionalgorithmandgeneticalgorithmaidedensemblelearningmethodidentifiedarobustseverityscoreofcovid19patients
AT pengwu adaptivebestsubsetselectionalgorithmandgeneticalgorithmaidedensemblelearningmethodidentifiedarobustseverityscoreofcovid19patients
AT sujiezhu adaptivebestsubsetselectionalgorithmandgeneticalgorithmaidedensemblelearningmethodidentifiedarobustseverityscoreofcovid19patients