AIMC Topic: Hypertension

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A novel computer-aided diagnosis system for the early detection of hypertension based on cerebrovascular alterations.

NeuroImage. Clinical Dec 2, 2019
Hypertension is a leading cause of mortality in the USA. While simple tools such as the sphygmomanometer are widely used to diagnose hypertension, they could not predict the disease before its onset. Clinical studies suggest that alterations in the s...
Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Early Diagnosis Pattern Recognition, Automated Magnetic Resonance Angiography Diagnosis, Computer-Assisted Hypertension Cerebrovascular Disorders
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Machine learning and blood pressure.

Journal of clinical hypertension (Greenwich, Conn.) Sep 19, 2019
Machine learning (ML) is a type of artificial intelligence (AI) based on pattern recognition. There are different forms of supervised and unsupervised learning algorithms that are being used to identify and predict blood pressure (BP) and other measu...
Artificial Intelligence Hypertension Humans Machine Learning Disease Management Prognosis Cardiovascular Diseases Risk Assessment
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On the interpretability of machine learning-based model for predicting hypertension.

BMC medical informatics and decision making Jul 29, 2019
BACKGROUND: Although complex machine learning models are commonly outperforming the traditional simple interpretable models, clinicians find it hard to understand and trust these complex models due to the lack of intuition and explanation of their pr...
Machine Learning Hypertension Exercise Test Female Datasets as Topic Humans Cardiorespiratory Fitness Risk Factors False Positive Reactions Male
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Emergence of digital biomarkers to predict and modify treatment efficacy: machine learning study.

BMJ open Jul 23, 2019
OBJECTIVES: Development of digital biomarkers to predict treatment response to a digital behavioural intervention.
Health Behavior Datasets as Topic Humans Machine Learning Algorithms Male Female Middle Aged Sensitivity and Specificity Hypertension
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Machine Learning Models can Detect Aneurysm Rupture and Identify Clinical Features Associated with Rupture.

World neurosurgery Jul 9, 2019
BACKGROUND: Machine learning (ML) has been increasingly used in medicine and neurosurgery. We sought to determine whether ML models can distinguish ruptured from unruptured aneurysms and identify features associated with rupture.
Middle Aged Comorbidity Case-Control Studies Hypertension Adult Sensitivity and Specificity Male Smoking Aneurysm, Ruptured Intracranial Aneurysm Diabetes Mellitus Support Vector Machine Hyperlipidemias Humans Female Aged Machine Learning Retrospective Studies
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Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing.

Circulation. Cardiovascular quality and outcomes Jul 9, 2019
BACKGROUND: Data sharing accelerates scientific progress but sharing individual-level data while preserving patient privacy presents a barrier.
Humans Confidentiality Data Collection Information Dissemination Computer Security Treatment Outcome Computer Simulation Randomized Controlled Trials as Topic Blood Pressure Deep Learning Hypertension Antihypertensive Agents
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A Non-Invasive Continuous Blood Pressure Estimation Approach Based on Machine Learning.

Sensors (Basel, Switzerland) Jun 6, 2019
Considering the existing issues of traditional blood pressure (BP) measurement methods and non-invasive continuous BP measurement techniques, this study aims to establish the systolic BP and diastolic BP estimation models based on machine learning us...
Humans Machine Learning Photoplethysmography Blood Pressure Determination Algorithms Hypertension Blood Pressure Pulse Wave Analysis
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A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models.

IEEE journal of biomedical and health informatics May 20, 2019
We consider the problem in precision health of grouping people into subpopulations based on their degree of vulnerability to a risk factor. These subpopulations cannot be discovered with traditional clustering techniques because their quality is eval...
Knowledge Discovery Humans Hypertension Risk Factors Big Data Models, Statistical Computational Biology Supervised Machine Learning Nutrition Surveys Environment
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Artificial Neural Network Analysis of Spontaneous Preterm Labor and Birth and Its Major Determinants.

Journal of Korean medical science Apr 29, 2019
BACKGROUND: Little research based on the artificial neural network (ANN) is done on preterm birth (spontaneous preterm labor and birth) and its major determinants. This study uses an ANN for analyzing preterm birth and its major determinants.
Gestational Age Obstetric Labor, Premature Cervix Uteri Area Under Curve Placenta Risk Factors Adult Logistic Models Humans Female ROC Curve Hypertension Diabetes Mellitus Neural Networks, Computer Infant, Newborn Body Mass Index Pregnancy Premature Birth
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A hybrid neural network model for predicting kidney disease in hypertension patients based on electronic health records.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: Disease prediction based on Electronic Health Records (EHR) has become one hot research topic in biomedical community. Existing work mainly focuses on the prediction of one target disease, and little work is proposed for multiple associat...
Humans Neural Networks, Computer Hypertension Forecasting Kidney Diseases Electronic Health Records Risk Factors
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