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Developing Artificial Intelligence Models for Extracting Oncologic Outcomes from Japanese Electronic Health Records

Crossref DOI link: https://doi.org/10.1007/s12325-022-02397-7

Published Online: 2022-12-22

Published Print: 2023-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Araki, Kenji

Matsumoto, Nobuhiro http://orcid.org/0000-0001-5581-5635
Togo, Kanae http://orcid.org/0000-0003-3964-4009
Yonemoto, Naohiro http://orcid.org/0000-0003-3637-2095
Ohki, Emiko

Xu, Linghua http://orcid.org/0000-0003-0466-5993
Hasegawa, Yoshiyuki http://orcid.org/0000-0002-2105-3975
Satoh, Daisuke

Takemoto, Ryota http://orcid.org/0000-0002-5880-5165
Miyazaki, Taiga http://orcid.org/0000-0002-0962-5758
Funding

Funding for this research was provided by:

Pfizer Japan
License Information

Text and Data Mining valid from 2022-12-22

Version of Record valid from 2022-12-22
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Article History

Received: 2 August 2022

Accepted: 1 December 2022

First Online: 22 December 2022