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Hiroshi Koshimizu

Observed name: Koshimizu, Hiroshi
OpenAlex ID: A5058784291
Prediction of blood pressure variability using deep neural networks
2020 · Hiroshi Koshimizu, Ryosuke Kojima, et al. · International Journal of Medical Informatics · 70
Future possibilities for artificial intelligence in the practical management of hypertension
2020 · Hiroshi Koshimizu, Ryosuke Kojima, et al. · Hypertension Research · 40
Multiple measurements of the urinary sodium-to-potassium ratio strongly related home hypertension: TMM Cohort Study
2019 · Mana Kogure, Takumi Hirata, et al. · Hypertension Research · 31
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Consideration of the reference value and number of measurements of the urinary sodium-to-potassium ratio based on the prevalence of untreated home hypertension: TMM Cohort Study
2022 · Mana Kogure, Tomohiro Nakamura, et al. · Hypertension Research · 21
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Recent developments in machine learning modeling methods for hypertension treatment
2024 · Hirohiko Kohjitani, Hiroshi Koshimizu, et al. · Hypertension Research · 18
Blood pressure monitor with a position sensor for wrist placement to eliminate hydrostatic pressure effect on blood pressure measurement
2013 · Hironori Sato, Hiroshi Koshimizu, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 10
Predicting measurement continuity in home blood pressure monitoring using machine learning
2025 · Asami Matsumoto, Yohei Mineharu, et al. · Hypertension Research · 4
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Artificial Intelligence and Hypertension Management
2022 · Hiroshi Koshimizu, Yasushi Okuno · Springer eBooks · 2
Development and internal validation of a prediction model for sleep apnea syndrome treated with continuous positive airway pressure based on claims and health checkup data linked to personal health records
2026 · Tatsuya Muraki, Tsuyoshi Ueda, et al. · Sleep And Breathing
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Recent developments in machine learning modeling methods for hypertension treatment
2024 · Kohjitani, Hirohiko, Koshimizu, Hiroshi, et al. · Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence and Hypertension Management
2021 · Hiroshi Koshimizu, Yasushi Okuno · Springer eBooks
Abstract P183: The Multiple Measurements of Urinary Sodium-to-Potassium Ratio Strongly Related With Home Hypertension: the Tohoku Medical Megabank Project Cohort Study
2019 · Mana Kogure, Takumi Hirata, et al. · Circulation
高血圧有病率からみた尿ナトカリ比の目標値と必要測定回数の検討:東北メディカル・メガバンク計画コホート調査の成果から
2019 · Mana Kogure, Takumi Hirata, et al.
An Approach to Optimization by Paralleled ACOs
2008 · Hiroshi Koshimizu, Toshimichi Saito · IEICE Technical Report; IEICE Tech. Rep.
Works count: 14
Citation count: 196
H-index: 6
I10-index: 6
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