Feasibility of Reconstructing Survival Outcomes from Unstructured Electronic Medical Records under Japan's Next-Generation Medical Infrastructure Act : A Historical Cohort Study of Atezolizumab in Non-small Cell Lung Cancer
Drugs - real world outcomes
published_at 2026-07-23
Supplemental Data : https://public.oa.kenkyu.yamaguchi-u.ac.jp/0bac7354-ad75-472e-b2e2-edc6d1da4680
Title
Feasibility of Reconstructing Survival Outcomes from Unstructured Electronic Medical Records under Japan's Next-Generation Medical Infrastructure Act : A Historical Cohort Study of Atezolizumab in Non-small Cell Lung Cancer
Creators
Nishida Yosuke
Creators
Nozue Suguru
Creators
Sakata Yukinori
Creators
Azuma Mie
Creators
Abe Rika
Creators
Okamoto Rika
Creators
Okuno Yasushi
Source Identifiers
[EISSN] 2198-9788
Languages
eng
Resource Type
journal article
Publishers
Springer Nature
Date Issued
2026-07-23
Rights
© The Author(s) 2026()
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.()
Creative Commons Attribution- NonCommercial 4.0 International(https://creativecommons.org/licenses/by-nc/4.0/)
File Version
Version of Record
Access Rights
open access
Relations
[isIdenticalTo]
10.1007/s40801-026-00570-w
[isSupplementedBy]
[URI]https://public.oa.kenkyu.yamaguchi-u.ac.jp/0bac7354-ad75-472e-b2e2-edc6d1da4680
Funding Refs
Japan Society for the Promotion of Science
[crossref_funder]https://doi.org/10.13039/501100001691
Award
電子カルテ情報によるリアルワールドデータを用いた病態進行を予測するAIの開発
23K11933

