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Kayo Waki

Showing results (41-50 of 77) with videos related to

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Journal of Diabetes Investigation|December 25, 2016
Previous dropout from diabetic care as a predictor of patients' willingness to use mobile applications for self-management: A cross-sectional studySatoko Yamaguchi, Kayo Waki, Nobuko Tomizawa, et al.
Journal of Diabetes Science and Technology|April 11, 2018
Smartphone-Based Self-Management of Non-Insulin-Dependent Diabetes: A Japanese System at Use by an Italian Patients' CohortSara Pinto, Kayo Waki, Luca Chiovato, et al.
JMIR Bioinformatics and Biotechnology|June 27, 2024
Treatment Discontinuation Prediction in Patients With Diabetes Using a Ranking Model: Machine Learning Model DevelopmentHisashi Kurasawa, Kayo Waki, Akihiro Chiba, et al.
Journal of Medical Internet Research|May 29, 2020
Willingness of Patients Prescribed Medications for Lifestyle-Related Diseases to Use Personal Health Records: Questionnaire StudyRyoma Hirano, Satoko Yamaguchi, Kayo Waki, et al.
Heliyon|January 14, 2025
Predicting rapid decline in kidney function among type 2 diabetes patients: A machine learning approachEri Nakahara, Kayo Waki, Hisashi Kurasawa, et al.
JMIR Diabetes|March 7, 2025
Correction: Glycemic Control, Renal Progression, and Use of Telemedicine Phone Consultations Among Japanese Patients With Type 2 Diabetes Mellitus During the COVID-19 Pandemic: Retrospective Cohort StudyAkiko Sankoda, Yugo Nagae, Kayo Waki, et al.
Journal of Diabetes Science and Technology|July 7, 2026
Using a Fine-Tuned Commercial Artificial Intelligence Model to Assess Nutrients from Photographs of Japanese MealsDaniel R Lane, Yuexiang Ji, Naoto Otaki, et al.
JMIR Diabetes|June 14, 2023
Glycemic Control, Renal Progression, and Use of Telemedicine Phone Consultations Among Japanese Patients With Type 2 Diabetes Mellitus During the COVID-19 Pandemic: Retrospective Cohort StudyAkiko Sankoda, Yugo Nagae, Kayo Waki, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|March 3, 2020
Use of Ghost Cytometry to Differentiate Cells with Similar Gross Morphologic CharacteristicsHiroaki Adachi, Yoko Kawamura, Keiji Nakagawa, et al.
JMIR AI|July 18, 2024
Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model DevelopmentHisashi Kurasawa, Kayo Waki, Tomohisa Seki, et al.
Pageof 8

Showing results (41-50 of 77) with videos related to

Sort By:
Pageof 8
Journal of Diabetes Investigation|December 25, 2016
Previous dropout from diabetic care as a predictor of patients' willingness to use mobile applications for self-management: A cross-sectional studySatoko Yamaguchi, Kayo Waki, Nobuko Tomizawa, et al.
Journal of Diabetes Science and Technology|April 11, 2018
Smartphone-Based Self-Management of Non-Insulin-Dependent Diabetes: A Japanese System at Use by an Italian Patients' CohortSara Pinto, Kayo Waki, Luca Chiovato, et al.
JMIR Bioinformatics and Biotechnology|June 27, 2024
Treatment Discontinuation Prediction in Patients With Diabetes Using a Ranking Model: Machine Learning Model DevelopmentHisashi Kurasawa, Kayo Waki, Akihiro Chiba, et al.
Journal of Medical Internet Research|May 29, 2020
Willingness of Patients Prescribed Medications for Lifestyle-Related Diseases to Use Personal Health Records: Questionnaire StudyRyoma Hirano, Satoko Yamaguchi, Kayo Waki, et al.
Heliyon|January 14, 2025
Predicting rapid decline in kidney function among type 2 diabetes patients: A machine learning approachEri Nakahara, Kayo Waki, Hisashi Kurasawa, et al.
JMIR Diabetes|March 7, 2025
Correction: Glycemic Control, Renal Progression, and Use of Telemedicine Phone Consultations Among Japanese Patients With Type 2 Diabetes Mellitus During the COVID-19 Pandemic: Retrospective Cohort StudyAkiko Sankoda, Yugo Nagae, Kayo Waki, et al.
Journal of Diabetes Science and Technology|July 7, 2026
Using a Fine-Tuned Commercial Artificial Intelligence Model to Assess Nutrients from Photographs of Japanese MealsDaniel R Lane, Yuexiang Ji, Naoto Otaki, et al.
JMIR Diabetes|June 14, 2023
Glycemic Control, Renal Progression, and Use of Telemedicine Phone Consultations Among Japanese Patients With Type 2 Diabetes Mellitus During the COVID-19 Pandemic: Retrospective Cohort StudyAkiko Sankoda, Yugo Nagae, Kayo Waki, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|March 3, 2020
Use of Ghost Cytometry to Differentiate Cells with Similar Gross Morphologic CharacteristicsHiroaki Adachi, Yoko Kawamura, Keiji Nakagawa, et al.
JMIR AI|July 18, 2024
Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model DevelopmentHisashi Kurasawa, Kayo Waki, Tomohisa Seki, et al.
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