AIMC Topic: Hypertension

Clear Filters Showing 161 to 170 of 224 articles

Artificial intelligence outperforms experienced nephrologists to assess dry weight in pediatric patients on chronic hemodialysis.

Pediatric nephrology (Berlin, Germany) Jul 9, 2018
BACKGROUND: Dry weight is the lowest weight patients on hemodialysis can tolerate; correct dry weight estimation is necessary to minimize morbi-mortality, but is difficult to achieve. Here, we used artificial intelligence to improve the accuracy of d...
Blood Pressure Antihypertensive Agents Kidney Failure, Chronic Feasibility Studies Body Weight Child Hypertension Blood Pressure Determination Body Mass Index Dose-Response Relationship, Drug Body Fluids Nephrologists Blood Volume Humans Decision Making, Computer-Assisted Neural Networks, Computer Female Male Renal Dialysis Adolescent
View on PubMed DOI

Future Direction for Using Artificial Intelligence to Predict and Manage Hypertension.

Current hypertension reports Jul 6, 2018
PURPOSE OF REVIEW: Evidence that artificial intelligence (AI) is useful for predicting risk factors for hypertension and its management is emerging. However, we are far from harnessing the innovative AI tools to predict these risk factors for hyperte...
Artificial Intelligence Precision Medicine Biomedical Research Hypertension Disease Management Humans Practice Guidelines as Topic
View on PubMed DOI

A comparison of statistical and machine-learning techniques in evaluating the association between dietary patterns and 10-year cardiometabolic risk (2002-2012): the ATTICA study.

The British journal of nutrition May 23, 2018
Statistical methods are usually applied in examining diet-disease associations, whereas factor analysis is commonly used for dietary pattern recognition. Recently, machine learning (ML) has been also proposed as an alternative technique in health cla...
Humans Machine Learning Prospective Studies Young Adult Adult Male Cardiovascular Diseases Middle Aged Female Reproducibility of Results Risk Factors Aged Aged, 80 and over Sex Factors Linear Models Pattern Recognition, Automated Hypercholesterolemia Diabetes Mellitus Follow-Up Studies Models, Statistical Blood Pressure Data Interpretation, Statistical Diet Risk Assessment Adolescent Incidence Hypertension
View on PubMed DOI

Factors associated with dementia in elderly.

Ciencia & saude coletiva May 18, 2018
We analyzed the factors associated with dementia in the elderly attended at a memory outpatient clinic of the University of Southern Santa Catarina (UNISUL). This is a cross-sectional study with data analysis of medical records from January 2013 to A...
Depression Cross-Sectional Studies Dementia Male Humans Diabetes Mellitus, Type 2 Middle Aged Female Hypertension Memory Disorders Brazil Risk Factors Vitamin D Outpatient Clinics, Hospital Prevalence Aged Aged, 80 and over
View on PubMed DOI

Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project.

PloS one Apr 18, 2018
This study evaluates and compares the performance of different machine learning techniques on predicting the individuals at risk of developing hypertension, and who are likely to benefit most from interventions, using the cardiorespiratory fitness da...
Support Vector Machine Area Under Curve Bayes Theorem Exercise Test Cardiorespiratory Fitness Adult Male Middle Aged Adolescent Hypertension Databases, Factual Female Aged Aged, 80 and over Young Adult Humans Neural Networks, Computer Machine Learning
View on PubMed DOI

Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Increasing learning ability from massive medical data and building learning methods robust to data quality issues are key factors toward building data-driven clinical decision support systems for medicine prescription decision support. Here, we attem...
Hypoglycemic Agents Diabetes Mellitus Noncommunicable Diseases Data Mining Practice Patterns, Physicians' Drug Prescriptions Female Male Decision Support Systems, Clinical Logistic Models Hypertension Humans Neural Networks, Computer Machine Learning Electronic Health Records
View on PubMed

A Novel Neural Network Model for Blood Pressure Estimation Using Photoplethesmography without Electrocardiogram.

Journal of healthcare engineering Mar 7, 2018
The prevention, evaluation, and treatment of hypertension have attracted increasing attention in recent years. As photoplethysmography (PPG) technology has been widely applied to wearable sensors, the noninvasive estimation of blood pressure (BP) usi...
Humans Neural Networks, Computer Databases, Factual Female Blood Pressure Determination Blood Pressure Pulse Wave Analysis Critical Care Male Pattern Recognition, Automated Middle Aged Systole Hypertension Diastole Photoplethysmography Electrocardiography Reproducibility of Results Aged Aged, 80 and over Young Adult Adult
View on PubMed DOI

Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning.

Journal of medical Internet research Jan 30, 2018
BACKGROUND: As a high-prevalence health condition, hypertension is clinically costly, difficult to manage, and often leads to severe and life-threatening diseases such as cardiovascular disease (CVD) and stroke.
Cohort Studies Hypertension Female Risk Factors Aged Male Middle Aged Humans Machine Learning Prospective Studies Retrospective Studies Electronic Health Records
View on PubMed DOI

Serum Troponin I levels among hypertensive Military Service Personnel at a Military Health Facility in Abuja, Nigeria.

Nigerian journal of physiological sciences : official publication of the Physiological Society of Nigeria Dec 30, 2017
Hypertension constitutes one of the major metabolic disease in Nigeria especially among military personnel and their families. Myocardial infarction and other cardiovascular diseases may occur in this group of patient due to uncontrolled or poorly co...
Nigeria Hypertension Health Facilities Aged Myocardial Infarction Troponin I Humans Young Adult Military Personnel Risk Biomarkers Adult Female Male Middle Aged
View on PubMed

Association of co-exposure to heavy metals with renal function in a hypertensive population.

Environment international Dec 22, 2017
BACKGROUND: Chronic kidney disease (CKD) is an increasing health problem worldwide. Recent studies have suggested the potential associations between exposure to metals and CKD events, particularly in participants with hypertension. However, relevant ...
Metals, Heavy China Humans Hypertension Female Renal Insufficiency, Chronic Male Environmental Pollutants Environmental Exposure
View on PubMed DOI
Popular Topics
Recent Journals