Kagawa R - Search Results

1

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

2

Data collaboration analysis in predicting diabetes from a small amount of health checkup data.

Uchitachimoto G, Sukegawa N, Kojima M, Kagawa R, Oyama T, Okada Y, Imakura A, Sakurai T. Uchitachimoto G, et al. Among authors: kagawa r. Sci Rep. 2023 Jul 21;13(1):11820. doi: 10.1038/s41598-023-38932-x. Sci Rep. 2023. PMID: 37479701 Free PMC article.

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

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

5

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

6

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

7

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.

8

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

Imakura A, Tsunoda R, Kagawa R, Yamagata K, Sakurai T. Imakura A, et al. Among authors: kagawa r. J Biomed Inform. 2023 Jan;137:104264. doi: 10.1016/j.jbi.2022.104264. Epub 2022 Nov 30. J Biomed Inform. 2023. PMID: 36462599 Free article.

9

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.

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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