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ORCIDRina Kagawa
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2020 – today
- 2024
[c13]Atsuko Sugiyama, Kazuki Utsunomiya, Hayato Okumiya, Katsuhiko Fujimoto, Yuka Shimomura, Masaru Sanuki, Keitaro Kume, Takahiro Yano, Rina Kagawa, Hiroko Bando:
Toward a Patient-Centered Care Supporting System: Integration of Multidisciplinary Health Records in Breast Cancer Care. MIE 2024: 1719-1723- 2023
- [j4]Akira Imakura
, Ryoya Tsunoda, Rina Kagawa, Kunihiro Yamagata, Tetsuya Sakurai:
DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties. J. Biomed. Informatics 137: 104264 (2023) - [c12]Hidehito Honda, Rina Kagawa, Masaru Shirasuna:
Effective utilization of anchor-biased estimates for the wisdom of crowds. CogSci 2023 - [c11]Rina Kagawa, Hidehito Honda, Hirokazu Nosato:
The Impact of the Balance between Trust in Advice and Confidence in Human Judgment on Advice Utilization. CogSci 2023 - [c10]Masaru Shirasuna, Rina Kagawa, Hidehito Honda:
A one-second wait improves judgment accuracy: A mouse tracking reveals cognitive processes during choice behaviors. CogSci 2023 - [c9]Rina Kagawa, Akira Imakura, Masaki Matsubara:
A Privacy-Preserving Technique to Identify the Useful Content of Documents Owned by Multiple Institutes. ICADL (1) 2023: 218-227 - [i1]Rina Kagawa, Masaki Matsubara, Rei Miyata, Takuya Matsuzaki, Yukino Baba, Yoko Yamakata:
An experimental framework for designing document structure for users' decision making - An empirical study of recipes. CoRR abs/2305.01359 (2023) - 2022
- [c8]Rina Kagawa, Masaru Shirasuna, Atsushi Ikeda, Masaru Sanuki, Hidehito Honda, Hirokazu Nosato:
One-second Boosting: A Simple and Cost-effective Intervention that Promotes the Optimal Allocation of Cognitive Resources. CogSci 2022 - [c7]Rina Kagawa, Rei Miyata, Yoko Yamakata:
"Comparable Recipes": A Construction and Analysis of a Dataset of Recipes Described by Different People for the Same Dish. CEA++@MM 2022: 41-44 - 2021
- [j3]Xiaojun Ma, Takeshi Imai, Emiko Y. Shinohara, Satoshi Kasai, Kosuke Kato, Rina Kagawa, Kazuhiko Ohe:
EHR2CCAS: A framework for mapping EHR to disease knowledge presenting causal chain of disorders - chronic kidney disease example. J. Biomed. Informatics 115: 103692 (2021) - [j2]Yuta Takahashi, Hanten Chang, Akie Nakai, Rina Kagawa, Hiroyasu Ando, Akira Imakura, Yukihiko Okada, Hideo Tsurushima, Kenji Suzuki, Tetsuya Sakurai:
Decentralized Learning with Virtual Patients for Medical Diagnosis of Diabetes. SN Comput. Sci. 2(4): 239 (2021) - [c6]Rina Kagawa, Yukino Baba, Hideo Tsurushima:
A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowds. IEEE BigData 2021: 3534-3543 - [c5]Masaki Matsubara, Rina Kagawa, Takeshi Hirano, Isao Tsuji:
CROCUS: Dataset of Critique Documents of Musical Performance. CMMR 2021: 253-266 - [c4]Masaki Matsubara, Rina Kagawa, Takeshi Hirano, Isao Tsuji:
Analysis of the Usefulness of Critique Documents on Musical Performance: Toward a Better Instructional Document Format. ICADL 2021: 344-353 - [c3]Rina Kagawa, Hideo Tsurushima:
How the Content of Progress Notes Affects Readers' Perceptions of Their Usefulness and the Burden Placed on Writers: Improving Interprofessional Communication. MedInfo 2021: 168-172 - [c2]Masanori Shiro, Rina Kagawa:
Validity of Lognormal Distribution in Analyzing Laboratory Test Values. MedInfo 2021: 1066-1067
2010 – 2019
- 2019
- [j1]Rina Kagawa, Emiko Yamada Shinohara, Takeshi Imai, Yoshimasa Kawazoe, Kazuhiko Ohe:
Bias of Inaccurate Disease Mentions in Electronic Health Record-based Phenotyping. Int. J. Medical Informatics 124: 90-96 (2019) - 2017
- [c1]Rina Kagawa, Yoshimasa Kawazoe, Emiko Y. Shinohara, Takeshi Imai, Kazuhiko Ohe:
The Impact of "Possible Patients" on Phenotyping Algorithms: Electronic Phenotype Algorithms Can Only Be Reproduced by Sharing Detailed Annotation Criteria. MedInfo 2017: 432-436
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last updated on 2024-10-16 21:26 CEST by the dblp team
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