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Quantifying the Regional Disproportionality of COVID-19 Spread: Modeling Study

Quantifying the Regional Disproportionality of COVID-19 Spread: Modeling Study

This finding aligns with previous research by Ikeda, Sasaki, and Nakano [7]. The following examples provide interesting insights; when the Theil index value was high and the number of confirmed cases was low (d=60, 550, etc), it indicated that the infectious disease was localized and beginning to spread to various regions.

Kenji Sasaki, Yoichi Ikeda, Takashi Nakano

JMIR Form Res 2025;9:e59230

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Performance of ChatGPT-4o on the Japanese Medical Licensing Examination: Evalution of Accuracy in Text-Only and Image-Based Questions

Performance of ChatGPT-4o on the Japanese Medical Licensing Examination: Evalution of Accuracy in Text-Only and Image-Based Questions

Yuki Miyazaki, Masahiro Hata, Hisaki Omori, Atsuya Hirashima, Yuta Nakagawa, Mitsuhiro Eto, Shun Takahashi, Manabu Ikeda

JMIR Med Educ 2024;10:e63129

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Interest in the Use of Herbal Supplements to Close the Treatment Gap for Hazardous Alcohol Use Among Men Who Have Sex With Men: Secondary Analysis of a Cross-Sectional Study

Interest in the Use of Herbal Supplements to Close the Treatment Gap for Hazardous Alcohol Use Among Men Who Have Sex With Men: Secondary Analysis of a Cross-Sectional Study

Christopher Hernandez, Christopher Rowe, Janet Ikeda, Justine Arenander, Glenn-Milo Santos

JMIR Form Res 2024;8:e60370

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Narrowing the Patient–Physician Gap Based on Self-Reporting and Monthly Hepatologist Feedback for Patients With Alcohol-Related Liver Disease: Interventional Pilot Study Using a Journaling Smartphone App

Narrowing the Patient–Physician Gap Based on Self-Reporting and Monthly Hepatologist Feedback for Patients With Alcohol-Related Liver Disease: Interventional Pilot Study Using a Journaling Smartphone App

Noriyo Yamashiki, Kyoko Kawabata, Miki Murata, Shunichiro Ikeda, Takako Fujimaki, Kanehiko Suwa, Toshihito Seki, Eiji Aramaki, Makoto Naganuma

JMIR Form Res 2023;7:e44762

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Comparison of Polysomnography, Single-Channel Electroencephalogram, Fitbit, and Sleep Logs in Patients With Psychiatric Disorders: Cross-Sectional Study

Comparison of Polysomnography, Single-Channel Electroencephalogram, Fitbit, and Sleep Logs in Patients With Psychiatric Disorders: Cross-Sectional Study

Keita Kawai, Kunihiro Iwamoto, Seiko Miyata, Ippei Okada, Hiroshige Fujishiro, Akiko Noda, Kazuyuki Nakagome, Norio Ozaki, Masashi Ikeda

J Med Internet Res 2023;25:e51336

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Factors Associated With Work Engagement of Nurses During the Fifth Wave of the COVID-19 Pandemic in Japan: Web-Based Cross-Sectional Study

Factors Associated With Work Engagement of Nurses During the Fifth Wave of the COVID-19 Pandemic in Japan: Web-Based Cross-Sectional Study

Kei Muroi, Mami Ishitsuka, Tomoko Hachisuka, Itsuka Shibata, Tomohiko Ikeda, Daisuke Hori, Shotaro Doki, Tsukasa Takahashi, Shin-ichiro Sasahara, Ichiyo Matsuzaki

JMIR Form Res 2023;7:e45830

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Stimulant Use Associated With Psychosocial Factors, HIV Risk, and Concurrent Hazardous Alcohol Use Among US Adults: Exploratory Cross-Sectional Questionnaire Study

Stimulant Use Associated With Psychosocial Factors, HIV Risk, and Concurrent Hazardous Alcohol Use Among US Adults: Exploratory Cross-Sectional Questionnaire Study

Frank Lee, Jennifer Payaal Jain, Lunthita M Duthely, Janet Ikeda, Glenn-Milo Santos

JMIR Form Res 2023;7:e45717

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Examining the Use of an Artificial Intelligence Model to Diagnose Influenza: Development and Validation Study

Examining the Use of an Artificial Intelligence Model to Diagnose Influenza: Development and Validation Study

A total of 3 physicians among the authors (SO, MF, and M Ikeda), who were blinded to the patients’ identifiers and their RT-PCR test results, assessed the data to assign an influenza prediction score between 0 and 1 (ie, between 0% and 100%).

Sho Okiyama, Memori Fukuda, Masashi Sode, Wataru Takahashi, Masahiro Ikeda, Hiroaki Kato, Yusuke Tsugawa, Masao Iwagami

J Med Internet Res 2022;24(12):e38751

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Telehealth Care for Mothers and Infants to Improve the Continuum of Care: Protocol for a Quasi-Experimental Study

Telehealth Care for Mothers and Infants to Improve the Continuum of Care: Protocol for a Quasi-Experimental Study

Kimiyo Kikuchi, Rafiqul Islam, Yoko Sato, Mariko Nishikitani, Rieko Izukura, Nusrat Jahan, Fumihiko Yokota, Subaru Ikeda, Nazneen Sultana, Meherun Nessa, Morshed Nasir, Ashir Ahmed, Kiyoko Kato, Seiichi Morokuma, Naoki Nakashima

JMIR Res Protoc 2022;11(12):e41586

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The Surveillance of Physical Activity, Sedentary Behavior, and Sleep: Protocol for the Development and Feasibility Evaluation of a Novel Measurement System

The Surveillance of Physical Activity, Sedentary Behavior, and Sleep: Protocol for the Development and Feasibility Evaluation of a Novel Measurement System

Patrick Crowley, Erika Ikeda, Sheikh Mohammed Shariful Islam, Rasmus Kildedal, Sandra Schade Jacobsen, Jon Roslyng Larsen, Peter J Johansson, Pasan Hettiarachchi, Mette Aadahl, Paul Jarle Mork, Leon Straker, Emmanuel Stamatakis, Andreas Holtermann, Nidhi Gupta

JMIR Res Protoc 2022;11(6):e35697

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