Asset Details
- Identifier:
- cnm3273-fig-0002
- Description:
- The positive sample of different subsets constitute RIFSL+
- License:
- Rights Managed
- Rights Holder:
- John Wiley & Sons, Inc.
- License Rights Holder:
- © 2020 John Wiley & Sons, Ltd.
- Asset Type:
- Image
- Asset Subtype:
- Figure
- Image Orientation:
- Landscape
- Image Dimensions:
- 2128 x 1385
- Image File Size:
- 8.45 MB
- Creator:
- Zhe Wang, Lilong Chen, Jing Zhang, Yichao Yin, Dongdong Li
- Credit:
- Wang, Z., Chen, L., Zhang, J., Yin, Y., & Li, D. (2020). Multi‐view ensemble learning with empirical kernel for heart failure mortality prediction. International Journal for Numerical Methods in Biomedical Engineering, 36(1), n/a. https://doi.org/10.1002/cnm.3273.
- Collection:
- Keywords:
- Restrictions:
- Property Release:
- No
- Model Release:
- No
- Purchasable:
- Yes
- Sensitive Materials:
- No
- Article Title:
- Multi‐view ensemble learning with empirical kernel for heart failure mortality prediction
- Article Authors:
- Zhe Wang, Lilong Chen, Jing Zhang, Yichao Yin, Dongdong Li
- Article Copyright Year:
- 2020
- Publication Title:
- International Journal for Numerical Methods in Biomedical Engineering
- Publication Volume:
- 36
- Publication Issue:
- 1
- Publication Date:
- 01/01/2020
- DOI:
- https://doi.org/10.1002/cnm.3273
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