AI Medical Compendium Journal:
Journal of clinical hypertension (Greenwich, Conn.)

Showing 1 to 10 of 10 articles

Digital therapeutics in hypertension: How to make sustainable lifestyle changes.

Journal of clinical hypertension (Greenwich, Conn.) Sep 9, 2024
Various digital therapeutic products have been validated and approved since 2017. They have demonstrated efficacy and safety as a new therapeutic modality in various disorders or conditions. Hypertension is a common but serious condition that can be ...
Humans Artificial Intelligence Hypertension Japan Cognitive Behavioral Therapy Telemedicine Motivation Life Style
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Precise risk-prediction model including arterial stiffness for new-onset atrial fibrillation using machine learning techniques.

Journal of clinical hypertension (Greenwich, Conn.) Jun 8, 2024
Atrial fibrillation (AF) is the most common clinically significant cardiac arrhythmia and is an important risk factor for ischemic cerebrovascular events. This study used machine learning techniques to develop and validate a new risk prediction model...
Electrocardiography Glomerular Filtration Rate Body Mass Index Vascular Stiffness Middle Aged Risk Assessment ROC Curve Hypertension Uric Acid Japan Atrial Fibrillation Cardio Ankle Vascular Index Humans Machine Learning Female Risk Factors Aged Adult Male
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Telephone follow-up based on artificial intelligence technology among hypertension patients: Reliability study.

Journal of clinical hypertension (Greenwich, Conn.) May 22, 2024
Artificial intelligence (AI) telephone is reliable for the follow-up and management of hypertensives. It takes less time and is equivalent to manual follow-up to a high degree. We conducted a reliability study to evaluate the efficiency of AI telepho...
Telephone Middle Aged China Hypertension Follow-Up Studies Aged Adult Male Humans Artificial Intelligence Female Reproducibility of Results
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Prediction of cardiovascular and renal risk among patients with apparent treatment-resistant hypertension in the United States using machine learning methods.

Journal of clinical hypertension (Greenwich, Conn.) Mar 24, 2024
Apparent treatment-resistant hypertension (aTRH), defined as blood pressure (BP) that remains uncontrolled despite unconfirmed concurrent treatment with three antihypertensives, is associated with an increased risk of developing cardiovascular and re...
Humans Machine Learning Retrospective Studies Female Risk Factors Aged Adult Kidney Failure, Chronic United States Male Stroke Hypertension Cardiovascular Diseases Myocardial Infarction Blood Pressure Middle Aged Heart Failure Antihypertensive Agents Risk Assessment
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DXA measured body composition predicts blood pressure using machine learning methods.

Journal of clinical hypertension (Greenwich, Conn.) Jun 4, 2020
Absorptiometry, Photon Hypertension Adipose Tissue Blood Pressure Body Composition Humans Machine Learning Reproducibility of Results
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Highly precise risk prediction model for new-onset hypertension using artificial intelligence techniques.

Journal of clinical hypertension (Greenwich, Conn.) Dec 9, 2019
Hypertension is a significant public health issue. The ability to predict the risk of developing hypertension could contribute to disease prevention strategies. This study used machine learning techniques to develop and validate a new risk prediction...
Machine Learning Logistic Models Hypertension Japan Humans Artificial Intelligence
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Machine learning and blood pressure.

Journal of clinical hypertension (Greenwich, Conn.) Sep 19, 2019
Machine learning (ML) is a type of artificial intelligence (AI) based on pattern recognition. There are different forms of supervised and unsupervised learning algorithms that are being used to identify and predict blood pressure (BP) and other measu...
Machine Learning Prognosis Cardiovascular Diseases Risk Assessment Humans Hypertension Artificial Intelligence Disease Management
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LC-MS/MS-Based Assay for Steroid Profiling in Peripheral and Adrenal Venous Samples for the Subtyping of Primary Aldosteronism.

Journal of clinical hypertension (Greenwich, Conn.) May 1, 2025
Given the largely unexplored application of liquid chromatography-tandem mass spectrometry (LC-MS/MS) steroid analysis in primary aldosteronism (PA), we aimed to investigate its diagnostic utility in PA classification and to characterize steroid secr...
Steroids Aged Chromatography, Liquid Veins Adult Humans Liquid Chromatography-Mass Spectrometry Hydrocortisone Male Retrospective Studies Hyperaldosteronism Aldosterone Middle Aged Female Tandem Mass Spectrometry Adrenal Glands
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Research on Prediction model of Carotid-Femoral Pulse Wave Velocity: Based on Machine Learning Algorithm.

Journal of clinical hypertension (Greenwich, Conn.) Mar 1, 2025
Carotid-femoral pulse wave velocity (cf-PWV) is an important but difficult to obtain measure of arterial stiffness and an independent predictor of cardiovascular events and all-cause mortality. The objective of this study was to develop a predictive ...
Aged Adult Male Cardiovascular Diseases Humans Machine Learning Algorithms Female Pulse Wave Analysis Middle Aged China Ankle Brachial Index Predictive Value of Tests Proportional Hazards Models Vascular Stiffness Carotid-Femoral Pulse Wave Velocity
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Identification and Immunological Characterization of Cuproptosis Related Genes in Preeclampsia Using Bioinformatics Analysis and Machine Learning.

Journal of clinical hypertension (Greenwich, Conn.) Jan 1, 2025
Preeclampsia (PE) is a pregnancy-specific disorder characterized by an unclearly understood pathogenesis and poses a great threat to maternal and fetal safety. Cuproptosis, a novel form of cellular death, has been implicated in the advancement of var...
Female Gene Expression Profiling Protein Interaction Maps Humans Gene Regulatory Networks Computational Biology Machine Learning Databases, Genetic Pregnancy Pre-Eclampsia Gene Ontology
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