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 (MedInfo, 2017)

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)

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 (IEEE BigData, 2021)

CROCUS: Dataset of Critique Documents of Musical Performance. - Masaki Matsubara; Rina Kagawa; Takeshi Hirano; Isao Tsuji (CMMR, 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 (ICADL, 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 (MedInfo, 2021)

Validity of Lognormal Distribution in Analyzing Laboratory Test Values. - Masanori Shiro; Rina Kagawa (MedInfo, 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)

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 002; Tetsuya Sakurai (SN Comput. Sci., 2021)

One-second Boosting: A Simple and Cost-effective Intervention that Promotes the Optimal Allocation of Cognitive Resources. - Rina Kagawa; Masaru Shirasuna; Atsushi Ikeda; Masaru Sanuki; Hidehito Honda; Hirokazu Nosato (CogSci, 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 (CEA++@MM, 2022)

Effective utilization of anchor-biased estimates for the wisdom of crowds. - Hidehito Honda; Rina Kagawa; Masaru Shirasuna (CogSci, 2023)

The Impact of the Balance between Trust in Advice and Confidence in Human Judgment on Advice Utilization. - Rina Kagawa; Hidehito Honda; Hirokazu Nosato (CogSci, 2023)

A one-second wait improves judgment accuracy: A mouse tracking reveals cognitive processes during choice behaviors. - Masaru Shirasuna; Rina Kagawa; Hidehito Honda (CogSci, 2023)

A Privacy-Preserving Technique to Identify the Useful Content of Documents Owned by Multiple Institutes. - Rina Kagawa; Akira Imakura; Masaki Matsubara (ICADL (1), 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, 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 (ICADL (1), 2024)

Toward a Patient-Centered Care Supporting System: Integration of Multidisciplinary Health Records in Breast Cancer Care. - Atsuko Sugiyama; Kazuki Utsunomiya; Hayato Okumiya; Katsuhiko Fujimoto; Yuka Shimomura; Masaru Sanuki; Keitaro Kume; Takahiro Yano; Rina Kagawa; Hiroko Bando (MIE, 2024)