Identification Tool for Gastric Cancer Based on Integration of 33 Clinical Available Blood Indices Through Deep Learning-Reference-Cited by-同舟云学术

Identification Tool for Gastric Cancer Based on Integration of 33 Clinical Available Blood Indices Through Deep Learning

Author:

Zhang Bowen¹^ORCID,Cheng Long²,Niu Yuzhen³,Wang Aming¹,Zhang Pengyi⁴,Shen Tiantian⁵,Xi Lili⁶,Zhang Dekui²,Li Shuyan¹^ORCID

Affiliation:

1. School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China

2. Department of Gastroenterology, Lanzhou University Second Hospital, Lanzhou, China

3. School of Life Science, Shandong University of Technology, Zibo, China

4. Department of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou, China

5. The First School of Clinical Medicine, Lanzhou University, Lanzhou, China

6. Institution of Drug Clinical Trial, The First Hospital of Lanzhou University, Lanzhou, China

Funder

National Natural Science Foundation of China

Industrial Support and Guidance Project of Colleges and Universities in Gansu Province

Cuiying Science and Technology Project of the Second Hospital of Lanzhou University

Key Research and Development Project of Gansu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference54 articles.

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