Rina Kagawa

According to our database, Rina Kagawa authored at least 13 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties.

Akira Imakura, Ryoya Tsunoda, Rina Kagawa, Kunihiro Yamagata, Tetsuya Sakurai

J. Biomed. Informatics, January, 2023

An experimental framework for designing document structure for users' decision making - An empirical study of recipes.

Rina Kagawa, Masaki Matsubara, Rei Miyata, Takuya Matsuzaki, Yukino Baba, Yoko Yamakata

CoRR, 2023

A Privacy-Preserving Technique to Identify the Useful Content of Documents Owned by Multiple Institutes.

Rina Kagawa, Akira Imakura, Masaki Matsubara

Proceedings of the Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration, 2023

2022

"Comparable Recipes": A Construction and Analysis of a Dataset of Recipes Described by Different People for the Same Dish.

Rina Kagawa, Rei Miyata, Yoko Yamakata

Proceedings of the CEA++@MM 2022: Proceedings of the 1st International Workshop on Multimedia for Cooking, 2022

2021

Decentralized Learning with Virtual Patients for Medical Diagnosis of Diabetes.

Yuta Takahashi, Hanten Chang, Akie Nakai, Rina Kagawa, Hiroyasu Ando, Akira Imakura, Yukihiko Okada, Hideo Tsurushima, Kenji Suzuki, Tetsuya Sakurai

SN Comput. Sci., 2021

EHR2CCAS: A framework for mapping EHR to disease knowledge presenting causal chain of disorders - chronic kidney disease example.

Xiaojun Ma, Takeshi Imai, Emiko Y. Shinohara, Satoshi Kasai, Kosuke Kato, Rina Kagawa, Kazuhiko Ohe

J. Biomed. Informatics, 2021

Validity of Lognormal Distribution in Analyzing Laboratory Test Values.

Masanori Shiro, Rina Kagawa

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

How the Content of Progress Notes Affects Readers' Perceptions of Their Usefulness and the Burden Placed on Writers: Improving Interprofessional Communication.

Rina Kagawa, Hideo Tsurushima

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Analysis of the Usefulness of Critique Documents on Musical Performance: Toward a Better Instructional Document Format.

Masaki Matsubara, Rina Kagawa, Takeshi Hirano, Isao Tsuji

Proceedings of the Towards Open and Trustworthy Digital Societies, 2021

CROCUS: Dataset of Critique Documents of Musical Performance.

Masaki Matsubara, Rina Kagawa, Takeshi Hirano, Isao Tsuji

Proceedings of the Music in the AI Era - 15th International Symposium, 2021

A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowds.

Rina Kagawa, Yukino Baba, Hideo Tsurushima

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

Bias of Inaccurate Disease Mentions in Electronic Health Record-based Phenotyping.

Rina Kagawa, Emiko Yamada Shinohara, Takeshi Imai, Yoshimasa Kawazoe, Kazuhiko Ohe

Int. J. Medical Informatics, 2019

2017

The Impact of "Possible Patients" on Phenotyping Algorithms: Electronic Phenotype Algorithms Can Only Be Reproduced by Sharing Detailed Annotation Criteria.

Rina Kagawa, Yoshimasa Kawazoe, Emiko Y. Shinohara, Takeshi Imai, Kazuhiko Ohe

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017