AIMC Topic: Hypertension

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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...
Female Risk Factors Adult Sensitivity and Specificity Humans Neural Networks, Computer Algorithms Body Mass Index Age Factors Models, Statistical Sex Factors Male Middle Aged Nutrition Surveys Hypertension Smoking
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Machine Learning Clustering for Blood Pressure Variability Applied to Systolic Blood Pressure Intervention Trial (SPRINT) and the Hong Kong Community Cohort.

Hypertension (Dallas, Tex. : 1979) Jun 29, 2020
Visit-to-visit blood pressure variability (BPV) has been shown to be a predictor of cardiovascular disease. We aimed to classify the BPV levels using different machine learning algorithms. Visit-to-visit blood pressure readings were extracted from th...
Aged, 80 and over Male Cardiovascular Diseases Algorithms Middle Aged Humans Female Hypertension Machine Learning Risk Factors Cluster Analysis Aged Blood Pressure Hong Kong
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Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions.

BMC bioinformatics Jun 5, 2020
BACKGROUND: Inferring diseases related to the patient's electronic medical records (EMRs) is of great significance for assisting doctor diagnosis. Several recent prediction methods have shown that deep learning-based methods can learn the deep and co...
Pulmonary Disease, Chronic Obstructive China Hypertension Diabetes Mellitus Humans Neural Networks, Computer Software Electronic Health Records
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DXA measured body composition predicts blood pressure using machine learning methods.

Journal of clinical hypertension (Greenwich, Conn.) Jun 4, 2020
Adipose Tissue Blood Pressure Body Composition Absorptiometry, Photon Humans Machine Learning Reproducibility of Results Hypertension
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Prediction of hypertension, hyperglycemia and dyslipidemia from retinal fundus photographs via deep learning: A cross-sectional study of chronic diseases in central China.

PloS one May 14, 2020
Retinal fundus photography provides a non-invasive approach for identifying early microcirculatory alterations of chronic diseases prior to the onset of overt clinical complications. Here, we developed neural network models to predict hypertension, h...
Dyslipidemias Chronic Disease Cross-Sectional Studies Fundus Oculi Aged China Humans Male Models, Biological Aged, 80 and over ROC Curve Female Middle Aged Retina Hypertension Risk Factors Deep Learning Young Adult Hyperglycemia Adult
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Predicting Optimal Hypertension Treatment Pathways Using Recurrent Neural Networks.

International journal of medical informatics Mar 21, 2020
BACKGROUND: In ambulatory care settings, physicians largely rely on clinical guidelines and guideline-based clinical decision support (CDS) systems to make decisions on hypertension treatment. However, current clinical evidence, which is the knowledg...
Patient Care Planning Electronic Health Records Hypertension Blood Pressure Determination Monitoring, Physiologic Blood Pressure Antihypertensive Agents Feasibility Studies Practice Guidelines as Topic Humans Neural Networks, Computer Databases, Factual
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Machine Learning in Risk Prediction.

Hypertension (Dallas, Tex. : 1979) Mar 16, 2020
Humans Machine Learning Algorithms Hypertension
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Value of a Machine Learning Approach for Predicting Clinical Outcomes in Young Patients With Hypertension.

Hypertension (Dallas, Tex. : 1979) Mar 16, 2020
Risk stratification of young patients with hypertension remains challenging. Generally, machine learning (ML) is considered a promising alternative to traditional methods for clinical predictions because it is capable of processing large amounts of c...
Proportional Hazards Models Stroke Models, Biological Heart Diseases Young Adult Forecasting Adult Prospective Studies Humans Adolescent Treatment Outcome Prognosis Machine Learning Hypertension Follow-Up Studies Hospitalization Antihypertensive Agents Kidney Failure, Chronic
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Exploring the effect of hypertension on retinal microvasculature using deep learning on East Asian population.

PloS one Mar 5, 2020
Hypertension is the leading risk factor of cardiovascular disease and has profound effects on both the structure and function of the microvasculature. Abnormalities of the retinal vasculature may reflect the degree of microvascular damage due to hype...
Humans Retinal Vessels Algorithms Microvessels Female Hypertension Asia, Eastern Retinal Diseases Fluorescein Angiography Middle Aged Case-Control Studies Deep Learning Aged Image Processing, Computer-Assisted Aged, 80 and over Adult Male
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A proposed health monitoring system using fuzzy inference system.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Feb 20, 2020
Due to the busy schedule of every human being in today's world, consciousness towards one's health has become quite alarming. A person suffering from any chronic disease needs a gradual, regular and close monitoring to recover from the disease or to ...
Blood Glucose Hypertension Fuzzy Logic Monitoring, Physiologic Models, Statistical Blood Pressure Humans
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