Yada S, Nishiyama T, Wakamiya S, Kawazoe Y, Imai S, Hori S, Aramaki E. Utility analysis and demonstration of real-world clinical texts: A case study on Japanese cancer-related EHRs. PLoS One. 2024 Sep 11;19(9):e0310432. doi: 10.1371/journal.pone.0310432.
Seki T, Kawazoe Y, Ohe K. A Comparative Study of Access Analysis Service Utilization on Japanese Medical Institutions’ Websites with GDPR-Compliant Cases. Stud Health Technol Inform. 2024 Aug 22;316:1238-1242. doi: 10.3233/SHTI240635.
Tomohisa Seki, Yoshimasa Kawazoe, Kazuhiko Ohe. A Comparative Study of Access Analysis Service Utilization on Japanese Medical Institutions’ Websites with GDPR-Compliant Cases. 34th Medical Informatics Europe Conference, Athens, Greece. Thursday, August 29, 2024
河添 悦昌. 自然言語処理による患者情報の抽出. Precision Medicine 2024年8月号 医療情報システムの現在地.
FY 2023
学術論文
Yoneda K, Seki T, Kawazoe Y, Ohe K, Takahashi N; Neonatal Research Network of Japan. Immediate postnatal prediction of death or bronchopulmonary dysplasia among very preterm and very low birth weight infants based on gradient boosting decision trees algorithm: A nationwide database study in Japan. PLoS One. 2024 Mar 27;19(3):e0300817. doi: 10.1371/journal.pone.0300817.
Seki T, Kawazoe Y, Ohe K. Clinical Feature Vector Generation using Unsupervised Graph Representation Learning from Heterogeneous Medical Records. AMIA Annu Symp Proc. 2024 Jan 11;2023:618-623. PMID: 38222342; PMCID: PMC10785854.
Shibata D, Shinohara E, Shimamoto K, Kawazoe Y. Towards Structuring Clinical Texts: Joint Entity and Relation Extraction from Japanese Case Report Corpus. Stud Health Technol Inform. 2024 Jan 25;310:559-563. doi: 10.3233/SHTI231027. PMID: 38269871.
Seki T, Kawazoe Y, Ohe K. Graph Representation Learning-Based Fixed-Length Clinical Feature Vector Generation from Heterogeneous Medical Records. Stud Health Technol Inform. 2024 Jan 25;310:715-719. doi: 10.3233/SHTI231058. PMID: 38269902.
Hirabayashi M, Shibata D, Shinohara E, Kawazoe Y. Influence of Tweets Indicating False Rumors on COVID-19 Vaccination: Case Study. JMIR Form Res. 2023 Sep 5;7:e45867. doi: 10.2196/45867.
Tomohisa Seki, Yoshimasa Kawazoe, Kazuhiko Ohe. Clinical Feature Vector Generation using Unsupervised Graph Representation Learning from Heterogeneous Medical Records. AMIA 2023 Annual Symposium in New Orleans (15 Nov 2023).
Daisaku Shibata, Emiko Shinohara, Kiminori Shimamoto and Yoshimasa Kawazoe. Towards structuring clinical texts: Joint entity and relation extraction from Japanese case report corpus. MedInfo 2023 in Sydney (12 July 2023).
Tomohisa Seki, Yoshimasa Kawazoe and Kazuhiko Ohe. Graph representation learning-based fixed-length clinical feature vector generation from heterogeneous medical records. MedInfo 2023 in Sydney (11 July 2023).
Kage H, Shinozaki-Ushiku A, Ishigaki K, Sato Y, Tanabe M, Tanaka S, Tanikawa M, Watanabe K, Kato S, Akagi K, Uchino K, Mitani K, Takahashi S, Miura Y, Ikeda S, Kojima Y, Watanabe K, Mochizuki H, Yamaguchi H, Kawazoe Y, Kashiwabara K, Kohsaka S, Tatsuno K, Ushiku T, Ohe K, Yatomi Y, Seto Y, Aburatani H, Mano H, Miyagawa K, Oda K. Clinical utility of Todai OncoPanel in the setting of approved comprehensive cancer genomic profiling tests in Japan. Cancer Sci. 2023 Jan 5. doi: 10.1111/cas.15717.
Kawazoe Y, Shimamoto K, Yamaguchi R, Nakamura I, Yoneda K, Shinohara E, Shintani-Domoto Y, Ushiku T, Tsukamoto T, Ohe K. Computational Pipeline for Glomerular Segmentation and Association of the Quantified Regions with Prognosis of Kidney Function in IgA Nephropathy. Diagnostics. 2022; 12(12):2955.
Emiko Shinohara, Daisaku Shibata, Yoshimasa Kawazoe. Development of comprehensive annotation criteria for patients’ states from clinical texts. J Biomed Inform. 2022 Oct;134:104200.
Kawazoe Y, Shimamoto K, Shibata D, Shinohara E, Kawaguchi H, Yamamoto T. Impact of a Clinical Text–Based Fall Prediction Model on Preventing Extended Hospital Stays for Elderly Inpatients: Model Development and Performance Evaluation. JMIR Med Inform 2022;10(7):e37913
Hayakawa J, Seki T, Kawazoe Y, Ohe K. Pathway importance by graph convolutional network and Shapley additive explanations in gene expression phenotype of diffuse large B-cell lymphoma. PLoS One. 2022 Jun 24;17(6):e0269570.
Ryota Nishimura, Mai Miyabe Hirabayashi, Takashi Yoshino:Baseless-Rumor Alert Bot to Promote Reliability of Information, the IPSJ Journal, Vol.30, No.1, pp.2-14 (2022).
Kawazoe Y,Shibata D, Shinohara E, Aramaki E, Ohe K. A clinical specific BERT developed using a huge Japanese clinical text corpus. PLoS One. 2021 Nov 9;16(11):e0259763.
Seki T, Kawazoe Y, Ohe K. Machine learning-based prediction of in-hospital mortality using admission laboratory data: A retrospective, single-site study using electronic health record data. PLoS ONE. 2021;16(2): e0246640.
Ma X, Imai T, Shinohara E, Kasai S, Kato K, Kagawa R, Ohe K. EHR2CCAS: A framework for mapping EHR to disease knowledge presenting causal chain of disorders – chronic kidney disease example. J Biomed Inform. 2021 Mar;115:103692.
Aoki M, Yokota S, Kagawa R, Shinohara E, Imai T, Ohe K. Automatic Coding Classification of Electronic Nursing Narrative Records Based on Japanese Standard Terminology for Nursing. CIN: Computers, Informatics, Nursing. (in press).
Yamaguchi R, Kawazoe Y, Shimamoto K, Emiko Shinohara, Tatsuo Tsukamoto, Yukako Shintani-Domoto, Hajime Nagasu, Hiroshi Uozaki, Tetsuo Ushiku, Masaomi Nangaku, Naoki Kashihara, Akira Shimizu, Michio Nagata, Kazuhiko Ohe. Glomerular classification using convolutional neural networks based on defined annotation criteria and concordance evaluation among clinicians. Kidney Int Rep. 2020 Dec 13;6(3):716-726.
Iwai S, Mitani T, Hayakawa J, Shinohara E, Imai T, Kawazoe Y, Ohe K. Development of graph-based algorithm for differentiating pathophysiological conditions. Applied Medical Informatics. Vol. 42, No. 2/2020.
Kenya Sakka, Kotaro Nakayama, Nisei Kimura, Taiki Inoue, Yusuke Iwasawa, Ryohei Yamaguchi, Yoshimasa Kawazoe, Kazuhiko Ohe, Yutaka Matsuo. Character-Level Japanese Text Generation with Attention Mechanism for Chest Radiography Diagnosis. In: Shaban-Nejad, A., Michalowski, M., Buckeridge, D.L. (eds) Explainable AI in Healthcare and Medicine. Studies in Computational Intelligence, vol 914.pp 147–153 Springer, Cham.2021. https://doi.org/10.1007/978-3-030-53352-6_13
Hayakawa M, Imai T, Kawazoe Y, Kozaki K, Ohe K. Auto-Generated Physiological Chain Data for an Ontological Framework for Pharmacology and Mechanism of Action to Determine Suspected Drugs in Cases of Dysuria. Drug Safety. 2019,42:1055–1069.
Kagawa R, Shinohara E, Imai T, Kawazoe Y, Ohe K. Bias of Inaccurate Disease Mentions in Electronic Health Record-based Phenotyping. Int J Med Inform. 2019 Apr;124:90-96.
Kawazoe Y, Shimamoto K, Yamaguchi R, Shintani-Domoto Y, Uozaki H, Fukayama M, Ohe K. Faster R-CNN-Based Glomerular Detection in Multistained Human Whole Slide Images. Journal of Imaging. 2018; 4(7):91.
A. R. A. Ghani, K. Nishanth, Ai Nakajima, N. Kimura, P. Radkohl, S. Iwai, Y. Kawazoe, Y. Iwasawa, K. Nakayama, Y. Matsuo: An analysis of human gaze data for autonomous medical image diagnostics, The 28th Annual Conference of the Japanese Neural Network Society (JNNS), Workshop, 2018.
Satoshi Iwai, Emiko Shinohara, Takeshi Imai, Yoshimasa Kawazoe, Kazuhiko Ohe, Listing differential diagnoses from symptoms of patients with vertigo using knowledge graph, APAMI2018, Colombo, Sri Lanka, October 2018.
Rina Kagawa, Yoshimasa Kawazoe, Emiko 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. Stud Health Technol Inform. 245, pp.432-436, 2017.
Satoshi Iwai, Yoshimasa Kawazoe, Takeshi Imai, Kazuhiko Ohe. Effects of implementing tree model of diagnosis into a Bayesian diagnostic inference system. Stud Health Technol Inform. 245, pp.882-886, 2017.
Ma Xiaojun, Takeshi Imai, Emiko Shinohara, Ryota Sakurai, Kouji Kozaki, Kazuhiko Ohe. A Semi-Automatic Framework to Identify Abnormal States in EHR Narratives. Stud Health Technol Inform. 245, pp.910-914, 2017.