AIMC Topic: Hypertension

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Clinical Score and Machine Learning-Based Model to Predict Diagnosis of Primary Aldosteronism in Arterial Hypertension.

Hypertension (Dallas, Tex. : 1979) Sep 7, 2021
[Figure: see text].
Hypertension Hyperaldosteronism Potassium Probability Female Adult Male Middle Aged Humans Machine Learning
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Identifying the predictive effectiveness of a genetic risk score for incident hypertension using machine learning methods among populations in rural China.

Hypertension research : official journal of the Japanese Society of Hypertension Sep 3, 2021
Current studies have shown the controversial effect of genetic risk scores (GRSs) in hypertension prediction. Machine learning methods are used extensively in the medical field but rarely in the mining of genetic information. This study aims to deter...
China Cohort Studies Humans Rural Population Machine Learning Hypertension Prospective Studies Risk Factors
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Imputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning.

Scientific reports Aug 3, 2021
In two-thirds of intensive care unit (ICU) patients and 90% of surgical patients, arterial blood pressure (ABP) is monitored non-invasively but intermittently using a blood pressure cuff. Since even a few minutes of hypotension increases the risk of ...
Cohort Studies Hypertension Blood Pressure Determination Pulse Wave Analysis Hypotension Arterial Pressure Female Male Middle Aged Deep Learning Humans Intensive Care Units
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Health improvement framework for actionable treatment planning using a surrogate Bayesian model.

Nature communications May 25, 2021
Clinical decision-making regarding treatments based on personal characteristics leads to effective health improvements. Machine learning (ML) has been the primary concern of diagnosis support according to comprehensive patient information. A prominen...
Reproducibility of Results Models, Theoretical Health Promotion Hypertension Humans Machine Learning Algorithms Clinical Decision-Making Renal Insufficiency, Chronic Bayes Theorem
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Classification and Prediction on the Effects of Nutritional Intake on Overweight/Obesity, Dyslipidemia, Hypertension and Type 2 Diabetes Mellitus Using Deep Learning Model: 4-7th Korea National Health and Nutrition Examination Survey.

International journal of environmental research and public health May 24, 2021
Few studies have been conducted to classify and predict the influence of nutritional intake on overweight/obesity, dyslipidemia, hypertension and type 2 diabetes mellitus (T2DM) based on deep learning such as deep neural network (DNN). The present st...
Overweight Obesity Eating Dyslipidemias Deep Learning Diabetes Mellitus, Type 2 Nutrition Surveys Hypertension Humans Republic of Korea
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Machine learning algorithm for characterizing risks of hypertension, at an early stage in Bangladesh.

Diabetes & metabolic syndrome Apr 20, 2021
BACKGROUND AND AIMS: Hypertension has become a major public health issue as the prevalence and risk of premature death and disability among adults due to hypertension has increased globally. The main objective is to characterize the risk factors of h...
Hypertension Follow-Up Studies Bangladesh Aged Adult Male Humans Middle Aged Neural Networks, Computer Machine Learning Algorithms Databases, Factual Prognosis Female Risk Factors
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Using CNN and HHT to Predict Blood Pressure Level Based on Photoplethysmography and Its Derivatives.

Biosensors Apr 13, 2021
According to the WTO, there were 1.13 billion hypertension patients worldwide in 2015. The WTO encouraged people to check the blood pressure regularly because a large amount of patients do not have any symptoms. However, traditional cuff measurement ...
Humans Blood Pressure Atherosclerosis Vital Signs Neural Networks, Computer Algorithms Hypertension Photoplethysmography
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Artificial Intelligence in Hypertension: Seeing Through a Glass Darkly.

Circulation research Apr 1, 2021
Hypertension remains the largest modifiable cause of mortality worldwide despite the availability of effective medications and sustained research efforts over the past 100 years. Hypertension requires transformative solutions that can help reduce the...
Diabetic Retinopathy Artificial Intelligence Machine Learning Acute Kidney Injury Hypertension Stakeholder Participation Humans
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Predictors of 30-Day Mortality Among Dutch Patients Undergoing Colorectal Cancer Surgery, 2011-2016.

JAMA network open Apr 1, 2021
IMPORTANCE: Quality improvement programs for colorectal cancer surgery have been introduced with benchmarking based on quality indicators, such as mortality. Detailed (pre)operative characteristics may offer relevant information for proper case-mix c...
Colorectal Neoplasms Male Middle Aged Comorbidity Length of Stay Logistic Models Hypertension Support Vector Machine Aged Aged, 80 and over Pulmonary Disease, Chronic Obstructive Asthma Machine Learning Patient Readmission Intensive Care Units Area Under Curve Colectomy Female Humans Laparoscopy Multivariate Analysis Risk Factors Mortality Myocardial Infarction Netherlands
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients.

Scientific reports Feb 5, 2021
Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesized that machine learning (ML) models could be used to predict risks at different stages of management and thereby provide insights into drivers and prognostic m...
Age Factors Critical Care Sex Factors Comorbidity ROC Curve Hypertension Body Mass Index Female Prospective Studies Risk Factors Computer Simulation Aged, 80 and over Hospitalization Humans Prognosis Male Aged Machine Learning Intensive Care Units Middle Aged COVID-19 Respiration, Artificial
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