AIMC Topic: Hypertension

Clear Filters Showing 131 to 140 of 237 articles

Risk Stratification for Early Detection of Diabetes and Hypertension in Resource-Limited Settings: Machine Learning Analysis.

Journal of medical Internet research Jan 21, 2021
BACKGROUND: The impending scale up of noncommunicable disease screening programs in low- and middle-income countries coupled with limited health resources require that such programs be as accurate as possible at identifying patients at high risk.
Humans Middle Aged Risk Assessment Hypertension Diabetes Mellitus Early Diagnosis Machine Learning Retrospective Studies Female Male
View on PubMed DOI

Seated Saline Suppression Test Is Comparable With Captopril Challenge Test for the Diagnosis of Primary Aldosteronism: A Prospective Study.

Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists Dec 14, 2020
OBJECTIVE: The saline suppression test (SST) and captopril challenge test (CCT) are commonly used confirmatory tests for primary aldosteronism (PA). Seated SST (SSST) has been reported to be superior to recumbent SST. Whether SSST is better than CCT ...
Hyperaldosteronism Aldosterone Renin Captopril Humans Prospective Studies Hypertension
View on PubMed DOI

Predicting Postoperative Mortality After Metastatic Intraspinal Neoplasm Excision: Development of a Machine-Learning Approach.

World neurosurgery Nov 16, 2020
OBJECTIVE: Mortality following surgical resection of spinal tumors is a devastating outcome. Naïve Bayes machine learning algorithms may be leveraged in surgical planning to predict mortality. In this investigation, we use a Naïve Bayes classificatio...
Humans Machine Learning Middle Aged Risk Assessment Respiration, Artificial Weight Loss Hypertension Female Aged Pulmonary Disease, Chronic Obstructive Male Multivariate Analysis Odds Ratio Serum Albumin Mortality Preoperative Care Laminectomy Dyspnea Blood Coagulation Disorders Body Mass Index Smoking Bayes Theorem Metastasectomy Ascites Spinal Neoplasms Hypoalbuminemia
View on PubMed DOI

Prediction of age and brachial-ankle pulse-wave velocity using ultra-wide-field pseudo-color images by deep learning.

Scientific reports Nov 9, 2020
This study examined whether age and brachial-ankle pulse-wave velocity (baPWV) can be predicted with ultra-wide-field pseudo-color (UWPC) images using deep learning (DL). We examined 170 UWPC images of both eyes of 85 participants (40 men and 45 wome...
Hypertension Pulse Wave Analysis Ankle Brachial Index Color Perception Adult Male Middle Aged Deep Learning Humans Female Aged
View on PubMed DOI

The role of sacubitril/valsartan in the treatment of chronic heart failure with reduced ejection fraction in hypertensive patients with comorbidities: From clinical trials to real-world settings.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Aug 21, 2020
BACKGROUND: Sacubitril/valsartan, the first agent to be approved in a new class of drugs called angiotensin receptor neprilysin inhibitors (ARNIs), has been shown to reduce cardiovascular mortality and morbidity compared to enalapril in outpatient su...
Treatment Outcome Ventricular Dysfunction, Left Male Patient Readmission Drug Combinations Aminobutyrates Humans Stroke Volume Biphenyl Compounds Severity of Illness Index Chronic Disease Prognosis Clinical Studies as Topic Hypertension Heart Failure Female Valsartan Aged
View on PubMed DOI

Natural Language Processing for Rapid Response to Emergent Diseases: Case Study of Calcium Channel Blockers and Hypertension in the COVID-19 Pandemic.

Journal of medical Internet research Aug 14, 2020
BACKGROUND: A novel disease poses special challenges for informatics solutions. Biomedical informatics relies for the most part on structured data, which require a preexisting data or knowledge model; however, novel diseases do not have preexisting k...
Calcium Channel Blockers Betacoronavirus Pneumonia, Viral Natural Language Processing Coronavirus Infections Data Mining COVID-19 Drug Treatment Humans Pandemics COVID-19 Electronic Health Records SARS-CoV-2 Time Factors Hypertension
View on PubMed DOI

Cuffless Blood Pressure Monitoring: Promises and Challenges.

Clinical journal of the American Society of Nephrology : CJASN Jul 17, 2020
Current BP measurements are on the basis of traditional BP cuff approaches. Ambulatory BP monitoring, at 15- to 30-minute intervals usually over 24 hours, provides sufficiently continuous readings that are superior to the office-based snapshot, but t...
Wearable Electronic Devices Hypertension Blood Pressure Pulse Wave Analysis Calibration Blood Pressure Monitoring, Ambulatory Manometry Humans Machine Learning Reproducibility of Results
View on PubMed DOI

Future possibilities for artificial intelligence in the practical management of hypertension.

Hypertension research : official journal of the Japanese Society of Hypertension Jul 13, 2020
The use of artificial intelligence in numerous prediction and classification tasks, including clinical research and healthcare management, is becoming increasingly more common. This review describes the current status and a future possibility for art...
Humans Artificial Intelligence Hypertension Blood Pressure Determination Factor Analysis, Statistical Disease Management
View on PubMed DOI

A Machine Learning Approach for Predicting Early Phase Postoperative Hypertension in Patients Undergoing Carotid Endarterectomy.

Annals of vascular surgery Jul 10, 2020
BACKGROUND: This study aimed to establish and validate a machine learning-based model for the prediction of early phase postoperative hypertension (EPOH) requiring the administration of intravenous vasodilators after carotid endarterectomy (CEA).
Carotid Stenosis Endarterectomy, Carotid Antihypertensive Agents Cerebrovascular Disorders Administration, Intravenous Vasodilator Agents Cerebrovascular Circulation Hypertension Treatment Outcome Predictive Value of Tests Blood Pressure Female Risk Factors Humans Adult Aged Machine Learning Male Aged, 80 and over Decision Support Techniques Middle Aged Databases, Factual Risk Assessment Retrospective Studies Time Factors
View on PubMed DOI

An artificial neural network approach for predicting hypertension using NHANES data.

Scientific reports Jun 30, 2020
This paper focus on a neural network classification model to estimate the association among gender, race, BMI, age, smoking, kidney disease and diabetes in hypertensive patients. It also shows that artificial neural network techniques applied to larg...
Sex Factors Smoking Hypertension Body Mass Index Age Factors Models, Statistical Humans Adult Sensitivity and Specificity Neural Networks, Computer Male Algorithms Middle Aged Female Nutrition Surveys Risk Factors
View on PubMed DOI
Popular Topics
Recent Journals