Applications of artificial intelligence for hypertension management
The prevalence of hypertension is increasing along with an aging population, causing
millions of premature deaths annually worldwide. Low awareness of blood pressure (BP) …
millions of premature deaths annually worldwide. Low awareness of blood pressure (BP) …
A scoping review of the clinical application of machine learning in data-driven population segmentation analysis
Objective Data-driven population segmentation is commonly used in clinical settings to
separate the heterogeneous population into multiple relatively homogenous groups with …
separate the heterogeneous population into multiple relatively homogenous groups with …
Machine learning strategy for gut microbiome-based diagnostic screening of cardiovascular disease
Cardiovascular disease (CVD) is the number one leading cause for human mortality.
Besides genetics and environmental factors, in recent years, gut microbiota has emerged as …
Besides genetics and environmental factors, in recent years, gut microbiota has emerged as …
[HTML][HTML] Pitfalls in developing machine learning models for predicting cardiovascular diseases: challenge and solutions
YQ Cai, DX Gong, LY Tang, Y Cai, HJ Li… - Journal of Medical …, 2024 - jmir.org
In recent years, there has been explosive development in artificial intelligence (AI), which
has been widely applied in the health care field. As a typical AI technology, machine …
has been widely applied in the health care field. As a typical AI technology, machine …
[PDF][PDF] Minimization of the Number of Iterations in K-Medoids Clustering with Purity Algorithm.
Accepted: 20 June 2021 With k-medoids algorithm, it often takes many iterations to cluster a
large dataset, that is, the k-medoids algorithm cannot achieve the optimal performance …
large dataset, that is, the k-medoids algorithm cannot achieve the optimal performance …
Survey and evaluation of hypertension machine learning research
Background Machine learning (ML) is pervasive in all fields of research, from automating
tasks to complex decision‐making. However, applications in different specialities are …
tasks to complex decision‐making. However, applications in different specialities are …
[HTML][HTML] Digital transformation in the diagnostics and therapy of cardiovascular diseases: comprehensive literature review
C Stremmel, R Breitschwerdt - JMIR cardio, 2023 - cardio.jmir.org
Background: The digital transformation of our health care system has experienced a clear
shift in the last few years due to political, medical, and technical innovations and …
shift in the last few years due to political, medical, and technical innovations and …
Machine learning evaluation of a hypertension screening program in a university workforce over five years
The global prevalence of hypertension continues excessively elevated, especially among
low-and middle-income nations. Workplaces provide tremendous opportunities as a unique …
low-and middle-income nations. Workplaces provide tremendous opportunities as a unique …
Sympathetic determinants of resting blood pressure in males and females
M Nardone, M Foster, MW O'Brien… - American Journal …, 2024 - journals.physiology.org
Discharge of postganglionic muscle sympathetic nerve activity (MSNA) is related poorly to
blood pressure (BP) in adults. Whether neural measurements beyond the prevailing level of …
blood pressure (BP) in adults. Whether neural measurements beyond the prevailing level of …
The use of machine learning for the care of hypertension and heart failure
A Cai, Y Zhu, SA Clarkson, Y Feng - JACC: Asia, 2021 - jacc.org
Abstract Machine learning (ML) is a branch of artificial intelligence that combines computer
science, statistics, and decision theory to learn complex patterns from voluminous data. In …
science, statistics, and decision theory to learn complex patterns from voluminous data. In …