Hiroshi Koshimizu - Publications

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.

Journal: Sleep & breathing = Schlaf & Atmung

Published: February 20, 2026

Predicting measurement continuity in home blood pressure monitoring using machine learning.

Journal: Hypertension research : official journal of the Japanese Society of Hypertension

Published: November 30, 2024

Recent developments in machine learning modeling methods for hypertension treatment.

Journal: Hypertension research : official journal of the Japanese Society of Hypertension

Published: July 25, 2023

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.

Journal: Hypertension research : official journal of the Japanese Society of Hypertension

Published: August 26, 2021

Future possibilities for artificial intelligence in the practical management of hypertension.

Journal: Hypertension research : official journal of the Japanese Society of Hypertension

Published: April 19, 2020

Prediction of blood pressure variability using deep neural networks.

Journal: International journal of medical informatics

Published: October 24, 2019

Multiple measurements of the urinary sodium-to-potassium ratio strongly related home hypertension: TMM Cohort Study.

Journal: Hypertension research : official journal of the Japanese Society of Hypertension

Published: June 04, 2019

Blood pressure monitor with a position sensor for wrist placement to eliminate hydrostatic pressure effect on blood pressure measurement.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: October 11, 2013