A Multilayer Perceptron Neural Network Model to Classify Hypertension in Adolescents Using Anthropometric Measurements: A Cross-Sectional Study in Sarawak, Malaysia

Blood pressure estimation with complexity features from electrocardiogram and photoplethysmogram signals

(2020) Sen Yang et al.   OPTICAL AND QUANTUM ELECTRONICS

Bayes' theorem, COVID19, and screening tests

(2020) Gar Ming Chan   AMERICAN JOURNAL OF EMERGENCY MEDICINE

Validity of anthropometric indices in predicting high blood pressure risk factors in Iranian children and adolescents: CASPIAN‐V study

(2020) Mayram Yazdi et al.   Journal of Clinical Hypertension

An artificial neural network approach for predicting hypertension using NHANES data

(2020) Fernando López-Martínez et al.   Scientific Reports

The Role of Lifestyle Factors in Controlling Blood Pressure among Hypertensive Patients in Two Health Facilities in Urban Ghana: A Cross-Sectional Study

(2020) Emefa Modey Amoah et al.   International Journal of Hypertension

Applications of artificial neural networks in health care organizational decision-making: A scoping review

(2019) Nida Shahid et al.   PLoS One

Blood pressure risk factors in early adolescents: results from a Ugandan birth cohort

(2019) Swaib A. Lule et al.   JOURNAL OF HUMAN HYPERTENSION

The performance of anthropometric measures to predict diabetes mellitus and hypertension among adults in Jordan

(2019) Yousef Khader et al.   BMC PUBLIC HEALTH

Understanding the Global Prevalence of Hypertension in Children and Adolescents

(2019) Stephen R. Daniels   JAMA Pediatrics

The global, regional, and national burden of pancreatic cancer and its attributable risk factors in 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

(2019) Akram Pourshams et al.   Lancet Gastroenterology & Hepatology

Machine learning classification analysis for a hypertensive population as a function of several risk factors

(2018) Fernando López-Martínez et al.   EXPERT SYSTEMS WITH APPLICATIONS

On the approximation by single hidden layer feedforward neural networks with fixed weights

(2018) Namig J. Guliyev et al.   NEURAL NETWORKS

Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project

(2018) Sherif Sakr et al.   PLoS One

A Novel Neural Network Model for Blood Pressure Estimation Using Photoplethesmography without Electrocardiogram

(2018) Ludi Wang et al.   Journal of Healthcare Engineering

Elevated blood pressure and its predictors among secondary school students in Sarawak: a cross-sectional study

(2018) Woei Feng Grace Kho et al.   Central European Journal of Public Health

Using Anthropometric Indicator to Identify Hypertension in Adolescents: A Study in Sarawak, Malaysia

(2018) Whye Lian Cheah et al.   International Journal of Hypertension

A prediction model of blood pressure for telemedicine

(2016) Enid Wai-Yung Kwong et al.   Health Informatics Journal

Comparison of self-reported and biomedical data on hypertension and diabetes: findings from the China Health and Retirement Longitudinal Study (CHARLS)

(2016) Meng Ning et al.   BMJ Open

Repeated Blood Pressure Measurements in Childhood in Prediction of Hypertension in AdulthoodNovelty and Significance

(2015) Mervi Oikonen et al.   HYPERTENSION

A primary estimation of the cardiometabolic risk by using artificial neural networks

(2013) Aleksandar Kupusinac et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Evaluating the risk of type 2 diabetes mellitus using artificial neural network: An effective classification approach

(2013) Chongjian Wang et al.   DIABETES RESEARCH AND CLINICAL PRACTICE

Differential Evolution With Dynamic Parameters Selection for Optimization Problems

(2013) Ruhul A. Sarker et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Cardiovascular changes during chronic hypertensive states

(2013) Dorota Drozdz et al.   PEDIATRIC NEPHROLOGY

Waist circumference percentile curves for Malaysian children and adolescents aged 6.0–16.9 years

(2011) Bee Koon Poh et al.   International Journal of Pediatric Obesity

Evaluating the risk of hypertension using an artificial neural network method in rural residents over the age of 35 years in a Chinese area

(2010) Shuqiong Huang et al.   HYPERTENSION RESEARCH