AIMC Topic: Hypertension

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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...
Humans Cardiovascular Diseases Cluster Analysis Risk Factors Middle Aged Aged Machine Learning Blood Pressure Hypertension Aged, 80 and over Algorithms Hong Kong Male Female
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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 Neural Networks, Computer Software Electronic Health Records Humans
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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...
Middle Aged Deep Learning Models, Biological Humans China Adult Hypertension Retina Female ROC Curve Cross-Sectional Studies Hyperglycemia Dyslipidemias Risk Factors Male Chronic Disease Aged Fundus Oculi Aged, 80 and over Young 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...
Neural Networks, Computer Databases, Factual Electronic Health Records Hypertension Humans Feasibility Studies Practice Guidelines as Topic Patient Care Planning Blood Pressure Determination Monitoring, Physiologic Blood Pressure Antihypertensive Agents
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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...
Heart Diseases Proportional Hazards Models Hypertension Treatment Outcome Follow-Up Studies Antihypertensive Agents Kidney Failure, Chronic Stroke Models, Biological Hospitalization Young Adult Adult Adolescent Forecasting Prospective Studies Prognosis Humans Machine Learning
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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...
Case-Control Studies Deep Learning Image Processing, Computer-Assisted Hypertension Retinal Diseases Fluorescein Angiography Retinal Vessels Aged, 80 and over Humans Adult Male Middle Aged Algorithms Microvessels Female Asia, Eastern Aged
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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 ...
Models, Statistical Blood Pressure Humans Blood Glucose Hypertension Fuzzy Logic Monitoring, Physiologic
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Analyzing brain structural differences associated with categories of blood pressure in adults using empirical kernel mapping-based kernel ELM.

Biomedical engineering online Dec 27, 2019
BACKGROUND: Hypertension increases the risk of angiocardiopathy and cognitive disorder. Blood pressure has four categories: normal, elevated, hypertension stage 1 and hypertension stage 2. The quantitative analysis of hypertension helps determine dis...
Blood Pressure Adult Humans Machine Learning Image Processing, Computer-Assisted Brain Hypertension Magnetic Resonance Imaging
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