Adaptive best subset selection algorithm and genetic algorithm aided ensemble learning method identified a robust severity score of COVID‐19 patients-Reference-Cited by-同舟云学术

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

Published:2023-07-04 Issue:3 Volume:2 Page:
ISSN:2770-596X
Container-title:iMeta
language:en
Short-container-title:iMeta

Author:

Kong Weikaixin¹^ORCID,Zhu Jie¹,Bi Suzhen²,Huang Liting²,Wu Peng³⁴,Zhu Su‐Jie²

Affiliation:

1. Institute for Molecular Medicine Finland (FIMM), HiLIFE University of Helsinki Helsinki Finland

2. Institute of Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine Qingdao University Qingdao China

3. Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Medical College, Tongji Hospital Huazhong University of Science and Technology Wuhan China

4. Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China

Funder

Biomedicum Helsinki-säätiö

National Natural Science Foundation of China

Publisher

Wiley

Subject

Microbiology,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/imt2.126

Reference28 articles.

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4. Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection

5. Rincy Thomas N. andRoopamGupta.2020. Ensemble Learning Techniques and its Efficiency in Machine Learning: A survey. In2nd International Conference on Data Engineering and Applications (IDEA) 1–6. IEEE.

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