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Editorial: Interpretable and explainable machine learning models in oncology.

Publication ,  Journal Article
Hrinivich, WT; Wang, T; Wang, C
Published in: Front Oncol
2023

Duke Scholars

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Published In

Front Oncol

DOI

ISSN

2234-943X

Publication Date

2023

Volume

13

Start / End Page

1184428

Location

Switzerland

Related Subject Headings

  • 3211 Oncology and carcinogenesis
  • 3202 Clinical sciences
  • 1112 Oncology and Carcinogenesis
 

Citation

APA
Chicago
ICMJE
MLA
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Hrinivich, W. T., Wang, T., & Wang, C. (2023). Editorial: Interpretable and explainable machine learning models in oncology. Front Oncol, 13, 1184428. https://doi.org/10.3389/fonc.2023.1184428
Hrinivich, William Thomas, Tonghe Wang, and Chunhao Wang. “Editorial: Interpretable and explainable machine learning models in oncology.Front Oncol 13 (2023): 1184428. https://doi.org/10.3389/fonc.2023.1184428.
Hrinivich WT, Wang T, Wang C. Editorial: Interpretable and explainable machine learning models in oncology. Front Oncol. 2023;13:1184428.
Hrinivich, William Thomas, et al. “Editorial: Interpretable and explainable machine learning models in oncology.Front Oncol, vol. 13, 2023, p. 1184428. Pubmed, doi:10.3389/fonc.2023.1184428.
Hrinivich WT, Wang T, Wang C. Editorial: Interpretable and explainable machine learning models in oncology. Front Oncol. 2023;13:1184428.

Published In

Front Oncol

DOI

ISSN

2234-943X

Publication Date

2023

Volume

13

Start / End Page

1184428

Location

Switzerland

Related Subject Headings

  • 3211 Oncology and carcinogenesis
  • 3202 Clinical sciences
  • 1112 Oncology and Carcinogenesis