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.
Ishii, Futoshi, Reiko Hayashi, Emiko Shinohara, Motomi Beppu. Application of Network Analysis to Multiple Causes of Death Data in Japan. The 29th International Population Conference (IPC2021), International Union for the Scientific Study of Population(IUSSP), Dec. 9, 2021.
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. doi: 10.1016/j.ekir.2020.11.037.
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. AAAI Workshop on Artificial Intelligence, February 7-8, 2020, New York, USA. https://arxiv.org/abs/2004.13846
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. Journal site
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. Journal site
Shinichiroh Yokota, Emiko Shinohara, Kazuhiko Ohe. Can Staff Distinguish Falls: Experimental Hypothesis Verification Using Japanese Incident Reports and Natural Language Processing. Studies in health technology and informatics. 250, pp.159-163.
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.