Predict DLBCL patients' recurrence within two years with Gaussian mixture model cluster oversampling and multi-kernel learning-Reference-Cited by-同舟云学术

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Predict DLBCL patients' recurrence within two years with Gaussian mixture model cluster oversampling and multi-kernel learning

Published:2022-11 Issue: Volume:226 Page:107103
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Xing Meng^ORCID,Zhang Yanbo,Yu Hongmei^ORCID,Yang Zhenhuan,Li Xueling,Li Qiong,Zhao Yanlin,Zhao Zhiqiang,Luo Yanhong^ORCID

Funder

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

National Natural Science Foundation of China

Shanxi Medical University

Shanxi Province Science and Technology Department

Applied Basic Research Program of Sichuan Province

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference40 articles.

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2. Clinical heterogeneity of diffuse large B cell lymphoma following failure of front-line immunochemotherapy;Farooq;Br. J. Haematol.,2017

3. Late relapses in patients with diffuse large B-cell lymphoma treated with immunochemotherapy;Wang;J. Clin. Oncol.,2019

4. Support vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies;Verplancke;BMC Med. Inform. Decis. Mak.,2008

5. Applications of support vector machine (SVM) learning in cancer genomics;Huang;Cancer Genom. Proteom.,2018

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