Rina Kagawa

23 papers B 7Journal 5Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
A Method of Synthesis of Time Series Data of Blood Test Values.
MedInfo
Tetsu Furukawa, Rina Kagawa, Masaru Sanuki, Masanori Shiro
2025 B conf
Effective but untrustworthy: How artificial intelligence bias opposing human bias affects judgments.
CogSci
Masaru Shirasuna, Hidehito Honda, Rina Kagawa
2024 B conf
Advice Design to Increase the Use of Advice with an Interval to Overcome Algorithm Aversion.
CogSci
Rina Kagawa, Hidehito Honda, Hirokazu Nosato
2024 — conf
An Experimental Framework for Designing Document Structure for Users' Decision Making: An Empirical Study of Recipes.
ICADL (1)
Rina Kagawa, Masaki Matsubara, Rei Miyata, Takuya Matsuzaki, Yukino Baba, Yoko Yamakata
2024 B conf
Cognitive Load In Speed-Accuracy Tradeoff: Theoretical and Empirical Evidence Based on Resource-Rational Analyses.
CogSci
Masaru Shirasuna, Rina Kagawa, Hidehito Honda
2024 — conf
Toward a Patient-Centered Care Supporting System: Integration of Multidisciplinary Health Records in Breast Cancer Care.
MIE
Atsuko Sugiyama, Kazuki Utsunomiya, Hayato Okumiya, Katsuhiko Fujimoto, Yuka Shimomura, Masaru Sanuki, Keitaro Kume, Takahiro Yano, Rina Kagawa, Hiroko Bando
2023 — conf
A Privacy-Preserving Technique to Identify the Useful Content of Documents Owned by Multiple Institutes.
ICADL (1)
Rina Kagawa, Akira Imakura, Masaki Matsubara
2023 B conf
A one-second wait improves judgment accuracy: A mouse tracking reveals cognitive processes during choice behaviors.
CogSci
Masaru Shirasuna, Rina Kagawa, Hidehito Honda
2023 J jnl
An experimental framework for designing document structure for users' decision making - An empirical study of recipes.
CoRR
Rina Kagawa, Masaki Matsubara, Rei Miyata, Takuya Matsuzaki, Yukino Baba, Yoko Yamakata
2023 J jnl
DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties.
J. Biomed. Informatics
Akira Imakura, Ryoya Tsunoda, Rina Kagawa, Kunihiro Yamagata, Tetsuya Sakurai
2023 B conf
Effective utilization of anchor-biased estimates for the wisdom of crowds.
CogSci
Hidehito Honda, Rina Kagawa, Masaru Shirasuna
2023 B conf
The Impact of the Balance between Trust in Advice and Confidence in Human Judgment on Advice Utilization.
CogSci
Rina Kagawa, Hidehito Honda, Hirokazu Nosato
2022 — conf
"Comparable Recipes": A Construction and Analysis of a Dataset of Recipes Described by Different People for the Same Dish.
CEA++@MM
Rina Kagawa, Rei Miyata, Yoko Yamakata
2022 B conf
One-second Boosting: A Simple and Cost-effective Intervention that Promotes the Optimal Allocation of Cognitive Resources.
CogSci
Rina Kagawa, Masaru Shirasuna, Atsushi Ikeda, Masaru Sanuki, Hidehito Honda, Hirokazu Nosato
2021 — conf
A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowds.
IEEE BigData
Rina Kagawa, Yukino Baba, Hideo Tsurushima
2021 — conf
Analysis of the Usefulness of Critique Documents on Musical Performance: Toward a Better Instructional Document Format.
ICADL
Masaki Matsubara, Rina Kagawa, Takeshi Hirano, Isao Tsuji
2021 — conf
CROCUS: Dataset of Critique Documents of Musical Performance.
CMMR
Masaki Matsubara, Rina Kagawa, Takeshi Hirano, Isao Tsuji
2021 J jnl
Decentralized Learning with Virtual Patients for Medical Diagnosis of Diabetes.
SN Comput. Sci.
Yuta Takahashi, Hanten Chang, Akie Nakai, Rina Kagawa, Hiroyasu Ando, Akira Imakura, Yukihiko Okada, Hideo Tsurushima, Kenji Suzuki, Tetsuya Sakurai
2021 J jnl
EHR2CCAS: A framework for mapping EHR to disease knowledge presenting causal chain of disorders - chronic kidney disease example.
J. Biomed. Informatics
Xiaojun Ma, Takeshi Imai, Emiko Y. Shinohara, Satoshi Kasai, Kosuke Kato, Rina Kagawa, Kazuhiko Ohe
2021 — conf
How the Content of Progress Notes Affects Readers' Perceptions of Their Usefulness and the Burden Placed on Writers: Improving Interprofessional Communication.
MedInfo
Rina Kagawa, Hideo Tsurushima
2021 — conf
Validity of Lognormal Distribution in Analyzing Laboratory Test Values.
MedInfo
Masanori Shiro, Rina Kagawa
2019 J jnl
Bias of Inaccurate Disease Mentions in Electronic Health Record-based Phenotyping.
Int. J. Medical Informatics
Rina Kagawa, Emiko Yamada Shinohara, Takeshi Imai, Yoshimasa Kawazoe, Kazuhiko Ohe
2017 — conf
The Impact of "Possible Patients" on Phenotyping Algorithms: Electronic Phenotype Algorithms Can Only Be Reproduced by Sharing Detailed Annotation Criteria.
MedInfo
Rina Kagawa, Yoshimasa Kawazoe, Emiko Y. Shinohara, Takeshi Imai, Kazuhiko Ohe