A Machine Learning-Aided Framework to Predict Outcomes of Anti-PD-1 Therapy for Patients With Gynecological Cancer on Incomplete Post-Marketing Surveillance Dataset-Reference-Cited by-同舟云学术

A Machine Learning-Aided Framework to Predict Outcomes of Anti-PD-1 Therapy for Patients With Gynecological Cancer on Incomplete Post-Marketing Surveillance Dataset

Published:2021 Issue: Volume:9 Page:120464-120480
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Xiaomei^ORCID,Xiao Zhifeng^ORCID,Song Yang,Zhang Ruizhe,Li Xiuqin,Du Zhenhua

Funder

Liaoning Science and Technology Department, China, through the project titled “Research on the Mechanism of VH4-34 Encoding Human IgM Anti-Cancer Immune Micro-Environment,”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09521878.pdf?arnumber=9521878

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