Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Hisashi Kurasawa

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Journal of Diabetes Science and Technology|November 12, 2015
Machine-Learning-Based Prediction of a Missed Scheduled Clinical Appointment by Patients With DiabetesHisashi Kurasawa, Katsuyoshi Hayashi, Akinori Fujino, et al.
JMIR Medical Informatics|June 2, 2025
Enhancing Antidiabetic Drug Selection Using Transformers: Machine-Learning Model DevelopmentHisashi Kurasawa, Kayo Waki, Tomohisa Seki, 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 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.
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.
Geriatrics & Gerontology International|June 29, 2024
Identifying factors associated with locomotive syndrome using machine learning methods: The third survey of the research on osteoarthritis/osteoporosis against disability studyEri Nakahara, Toshiko Iidaka, Akihiro Chiba, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Journal of Diabetes Science and Technology|November 12, 2015
Machine-Learning-Based Prediction of a Missed Scheduled Clinical Appointment by Patients With DiabetesHisashi Kurasawa, Katsuyoshi Hayashi, Akinori Fujino, et al.
JMIR Medical Informatics|June 2, 2025
Enhancing Antidiabetic Drug Selection Using Transformers: Machine-Learning Model DevelopmentHisashi Kurasawa, Kayo Waki, Tomohisa Seki, 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 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.
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.
Geriatrics & Gerontology International|June 29, 2024
Identifying factors associated with locomotive syndrome using machine learning methods: The third survey of the research on osteoarthritis/osteoporosis against disability studyEri Nakahara, Toshiko Iidaka, Akihiro Chiba, et al.
Pageof 1