Kagawa R - Search Results

1

Toward a Patient-Centered Care Supporting System: Integration of Multidisciplinary Health Records in Breast Cancer Care.

Sugiyama A, Utsunomiya K, Okumiya H, Fujimoto K, Shimomura Y, Sanuki M, Kume K, Yano T, Kagawa R, Bando H. Sugiyama A, et al. Among authors: kagawa r. Stud Health Technol Inform. 2024 Aug 22;316:1719-1723. doi: 10.3233/SHTI240756. Stud Health Technol Inform. 2024. PMID: 39176542

2

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

Kagawa R, Kawazoe Y, Shinohara E, Imai T, Ohe K. Kagawa R, et al. Stud Health Technol Inform. 2017;245:432-436. Stud Health Technol Inform. 2017. PMID: 29295131

3

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

Kagawa R, Tsurushima H. Kagawa R, et al. Stud Health Technol Inform. 2022 Jun 6;290:168-172. doi: 10.3233/SHTI220054. Stud Health Technol Inform. 2022. PMID: 35672993

4

Validity of Lognormal Distribution in Analyzing Laboratory Test Values.

Shiro M, Kagawa R. Shiro M, et al. Among authors: kagawa r. Stud Health Technol Inform. 2022 Jun 6;290:1066-1067. doi: 10.3233/SHTI220270. Stud Health Technol Inform. 2022. PMID: 35673208

5

Integrated Electronic Health Record of Multidisciplinary Professionals Throughout the Cancer Care Pathway: A Pilot Study Exploring Patient-Centered Information in Breast Cancer Patients.

Sugiyama A, Okumiya H, Fujimoto K, Utsunomiya K, Shimomura Y, Sanuki M, Kume K, Yano T, Kagawa R, Bando H. Sugiyama A, et al. Among authors: kagawa r. J Multidiscip Healthc. 2024 May 7;17:2069-2081. doi: 10.2147/JMDH.S455281. eCollection 2024. J Multidiscip Healthc. 2024. PMID: 38736534 Free PMC article.

6

Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database.

Tsunoda R, Kume K, Kagawa R, Sanuki M, Kitagawa H, Mase K, Yamagata K. Tsunoda R, et al. Among authors: kagawa r. PLoS One. 2024 Dec 5;19(12):e0312915. doi: 10.1371/journal.pone.0312915. eCollection 2024. PLoS One. 2024. PMID: 39637040 Free PMC article.

7

Development of Type 2 Diabetes Mellitus Phenotyping Framework Using Expert Knowledge and Machine Learning Approach.

Kagawa R, Kawazoe Y, Ida Y, Shinohara E, Tanaka K, Imai T, Ohe K. Kagawa R, et al. J Diabetes Sci Technol. 2017 Jul;11(4):791-799. doi: 10.1177/1932296816681584. Epub 2016 Dec 7. J Diabetes Sci Technol. 2017. PMID: 27932531 Free PMC article.

8

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

Kagawa R, Shinohara E, Imai T, Kawazoe Y, Ohe K. Kagawa R, et al. Int J Med Inform. 2019 Apr;124:90-96. doi: 10.1016/j.ijmedinf.2018.12.004. Epub 2018 Dec 13. Int J Med Inform. 2019. PMID: 30784432

9

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

Ma X, Imai T, Shinohara E, Kasai S, Kato K, Kagawa R, Ohe K. Ma X, et al. Among authors: kagawa r. J Biomed Inform. 2021 Mar;115:103692. doi: 10.1016/j.jbi.2021.103692. Epub 2021 Feb 4. J Biomed Inform. 2021. PMID: 33548543 Free article.

10

Automatic Classification of Electronic Nursing Narrative Records Based on Japanese Standard Terminology for Nursing.

Aoki M, Yokota S, Kagawa R, Shinohara E, Imai T, Ohe K. Aoki M, et al. Among authors: kagawa r. Comput Inform Nurs. 2021 May 12;39(11):828-834. doi: 10.1097/CIN.0000000000000725. Comput Inform Nurs. 2021. PMID: 33990502

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