AIMC Topic: Hypertension
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Phenomapping for the Identification of Hypertensive Patients with the Myocardial Substrate for Heart Failure with Preserved Ejection Fraction.
Journal of cardiovascular translational research
Mar 3, 2017
We sought to evaluate whether unbiased machine learning of dense phenotypic data ("phenomapping") could identify distinct hypertension subgroups that are associated with the myocardial substrate (i.e., abnormal cardiac mechanics) for heart failure wi...
Humans
Machine Learning
Phenotype
Prognosis
Female
United States
Biomechanical Phenomena
Hypertension
Male
Cluster Analysis
Stroke Volume
Predictive Value of Tests
Risk Factors
Middle Aged
Aged
Blood Pressure
Risk Assessment
Adult
Heart Failure
Cross-Sectional Studies
Pattern Recognition, Automated
Stress, Mechanical
Echocardiography, Doppler
Vitamin D status, hypertension and body mass index in an urban black community in Mangaung, South Africa.
African journal of primary health care & family medicine
Oct 31, 2016
BACKGROUND: A strong relationship exists between hypertension and body weight. Research has linked both higher blood pressure and body weight with lower vitamin D status.
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.
Journal of the American Medical Informatics Association : JAMIA
Aug 7, 2016
OBJECTIVE: Phenotyping algorithms applied to electronic health record (EHR) data enable investigators to identify large cohorts for clinical and genomic research. Algorithm development is often iterative, depends on fallible investigator intuition, a...
A prediction model of blood pressure for telemedicine.
Health informatics journal
Aug 4, 2016
This paper presents a new study based on a machine learning technique, specifically an artificial neural network, for predicting systolic blood pressure through the correlation of variables (age, BMI, exercise level, alcohol consumption level, smokin...
Hypertension, haematuria and renal functioning in haemophilia - a cross-sectional study in Europe.
Haemophilia : the official journal of the World Federation of Hemophilia
Dec 16, 2015
BACKGROUND AND OBJECTIVES: This cross-sectional, epidemiological study sought to assess the prevalence and extent of potential risk factors for hypertension, particularly renal function related to haematuria and their associations in people with haem...
Microarray expression profiling and gene ontology analysis of long non-coding RNAs in spontaneously hypertensive rats and their potential roles in the pathogenesis of hypertension.
Molecular medicine reports
Nov 11, 2015
Long non-coding RNAs (lncRNAs) have been demonstrated to be significant in numerous biological processes. Hypertension is a form of cardiovascular disease with at least one billion cases worldwide. The present study sought to compare the differential...
The advantages of combination therapy on hypertension: development of immediate release perindopril-indapamide tablet and assessment of bioequivalence studies.
Pharmaceutical development and technology
Oct 13, 2015
Hypertension has a major associated risk for organ damage and mortality, which is further heightened in patients with prior cardiovascular events, comorbid diabetes mellitus, microalbuminuria and renal impairment. Convers Plus tablet including perind...
Phase information of time-frequency transforms as a key feature for classification of atrial fibrillation episodes.
Physiological measurement
Feb 5, 2015
Patients suffering from atrial fibrillation can be classified into different subtypes, according to the temporal pattern of the arrhythmia and its recurrence. Nowadays, clinicians cannot differentiate a priori between the different subtypes, and pati...
An informed machine learning based environmental risk score for hypertension in European adults.
Artificial intelligence in medicine
Jul 1, 2025
BACKGROUND: The exposome framework seeks to unravel the cumulated effects of environmental exposures on health. However, existing methods struggle with challenges including multicollinearity, non-linearity and confounding. To address these limitation...
Generative AI vs. human expertise: a comparative analysis of case-based rational pharmacotherapy question generation.
European journal of clinical pharmacology
Jun 1, 2025
PURPOSE: This study evaluated the performance of three generative AI models-ChatGPT- 4o, Gemini 1.5 Advanced Pro, and Claude 3.5 Sonnet-in producing case-based rational pharmacology questions compared to expert educators.
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