| ID | 67583 |
| Sort Key | 5
|
| Title Alternative | Five-year findings from the home blood pressure management study using IoT technology and future perspectives based on a time-series big data and AI analysis : the Masuda Study
|
| Author |
Hisamatsu, Takashi
Department of Public Health, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
Kinuta, Minako
Department of Public Health, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
Fukuda, Mari
Department of Public Health, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
Taniguchi, Kaori
Department of Environmental Medicine and Public Health, Faculty of Medicine, Shimane University
Nakahata, Noriko
Department of Health and Nutrition, Faculty of Nursing and Nutrition, The University of Shimane
Kanda, Hideyuki
Department of Public Health, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
Kaken ID
researchmap
|
| Keywords | 家庭血圧（home blood pressure）
IoT
AI
ビックデータ（big data）
|
| Note | 総説 (Reviews)
|
| Publication Title |
Journal of Okayama Medical Association
|
| Published Date | 2024-08-01
|
| Volume | volume136
|
| Issue | issue2
|
| Publisher | 岡山医学会
|
| Publisher Alternative | Okayama Medical Association
|
| Start Page | 57
|
| End Page | 62
|
| ISSN | 0030-1558
|
| NCID | AN00032489
|
| Content Type |
Journal Article
|
| Related Url | isVersionOf https://doi.org/10.4044/joma.136.57
|
| OAI-PMH Set |
岡山大学
|
| language |
Japanese
|
| Copyright Holders | Copyright (c) 2024 岡山医学会
|
| File Version | publisher
|
| Refereed |
True
|
| DOI | |
| Eprints Journal Name | joma
|
