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Fumihiko Yokota
ORCID
Publication Activity (10 Years)
Years Active: 2020-2022
Publications (10 Years): 5
Top Topics
Metabolic Syndrome
Randomized Controlled Trial
Weight Loss
Uric Acid
Top Venues
JMIR research protocols
JMIR medical informatics
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This page only lists publications with an associated author ORCID identifier.
Publications
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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
Telehealth Care for Mothers and Infants to Improve the Continuum of Care: Protocol for a Quasi-Experimental Study.
JMIR research protocols
11 (12) (2022)
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
Telehealth Care for Mothers and Infants to Improve the Continuum of Care: Protocol for a Quasi-Experimental Study.
JMIR research protocols
11 (12) (2022)
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
Telehealth Care for Mothers and Infants to Improve the Continuum of Care: Protocol for a Quasi-Experimental Study.
JMIR research protocols
11 (12) (2022)
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
Telehealth Care for Mothers and Infants to Improve the Continuum of Care: Protocol for a Quasi-Experimental Study.
JMIR research protocols
11 (12) (2022)
Masuda Begum Sampa
,
Md Nazmul Hossain
,
Md Rakibul Hoque
,
Rafiqul Islam
,
Fumihiko Yokota
,
Mariko Nishikitani
,
Ashir Ahmed
Blood Uric Acid Prediction With Machine Learning: Model Development and Performance Comparison.
JMIR medical informatics
8 (10) (2020)