AIMC Topic: Hypertension

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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...
Humans Machine Learning Hypertension Magnetic Resonance Imaging Blood Pressure Brain Adult Image Processing, Computer-Assisted
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Analysis of disease comorbidity patterns in a large-scale China population.

BMC medical genomics Dec 12, 2019
BACKGROUND: Disease comorbidity is popular and has significant indications for disease progress and management. We aim to detect the general disease comorbidity patterns in Chinese populations using a large-scale clinical data set.
Humans Genetic Association Studies Mental Disorders Models, Theoretical Comorbidity Data Mining Prognosis Hypertension China Genetic Predisposition to Disease Machine Learning Algorithms
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Highly precise risk prediction model for new-onset hypertension using artificial intelligence techniques.

Journal of clinical hypertension (Greenwich, Conn.) Dec 9, 2019
Hypertension is a significant public health issue. The ability to predict the risk of developing hypertension could contribute to disease prevention strategies. This study used machine learning techniques to develop and validate a new risk prediction...
Machine Learning Logistic Models Hypertension Humans Japan Artificial Intelligence
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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 Pattern Recognition, Automated Cerebrovascular Disorders Magnetic Resonance Angiography Image Interpretation, Computer-Assisted Neural Networks, Computer Early Diagnosis Diagnosis, Computer-Assisted Hypertension
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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...
Disease Management Cardiovascular Diseases Risk Assessment Hypertension Humans Artificial Intelligence Machine Learning Prognosis
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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...
Datasets as Topic Humans Cardiorespiratory Fitness Machine Learning Male False Positive Reactions Female Hypertension Risk Factors Exercise Test
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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.
Hypertension Female Health Behavior Sensitivity and Specificity Datasets as Topic Male Middle Aged Humans Machine Learning Algorithms
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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.
Female Aged Adult Sensitivity and Specificity Male Middle Aged Humans Machine Learning Retrospective Studies Diabetes Mellitus Support Vector Machine Smoking Hyperlipidemias Comorbidity Aneurysm, Ruptured Case-Control Studies Intracranial Aneurysm Hypertension
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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.
Information Dissemination Computer Security Antihypertensive Agents Confidentiality Data Collection Treatment Outcome Randomized Controlled Trials as Topic Blood Pressure Deep Learning Hypertension Humans Computer Simulation
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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...
Blood Pressure Hypertension Humans Pulse Wave Analysis Machine Learning Photoplethysmography Algorithms Blood Pressure Determination
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