Time-Space Network Hypertension in the Digital Era　― Update From Jichi Medical University Hypertension Study ―

Abstract

Time-space network hypertension is a data science approach that connects diverse information related to hypertension within a time-space framework. This field of academic research aims to predict disease onset and direct effective, individualized, optimized treatments by integrating and analyzing the variability of multiple internal biological and external environmental signals as they relate to blood pressure variability across different time phases. By linking time series changes in blood pressure and biological distribution with multi-environmental and physiological information, enabled by advances in digital technology, the time-space network hypertension approach contributes to “digital hypertension” research. This article from Jichi Medical University provides an update on research relating to the time-space network hypertension approach, which is designed to progress hypertension management towards achieving net zero cardiovascular events.