AIMC Topic: Prevalence
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A Multilayer Perceptron Neural Network Model to Classify Hypertension in Adolescents Using Anthropometric Measurements: A Cross-Sectional Study in Sarawak, Malaysia.
Computational and mathematical methods in medicine
Dec 7, 2021
This study outlines and developed a multilayer perceptron (MLP) neural network model for adolescent hypertension classification focusing on the use of simple anthropometric and sociodemographic data collected from a cross-sectional research study in ...
Prevalence and predicting factors of perceived stress among Bangladeshi university students using machine learning algorithms.
Journal of health, population, and nutrition
Nov 27, 2021
BACKGROUND: Stress-related mental health problems are one of the most common causes of the burden in university students worldwide. Many studies have been conducted to predict the prevalence of stress among university students, however most of these ...
Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition.
Scientific reports
Nov 1, 2021
In this study, we proposed a new data-driven hybrid technique by integrating an ensemble empirical mode decomposition (EEMD), an autoregressive integrated moving average (ARIMA), with a nonlinear autoregressive artificial neural network (NARANN), cal...
Perception of yips among professional Japanese golfers: perspectives from a network modelled approach.
Scientific reports
Oct 11, 2021
'Yips' in golf is a complex spectrum of anxiety and movement-disorder that affects competitive sporting performance. With unclear etiology and high prevalence documented in western literature, the perception and management of this psycho-neuromuscula...
Efficient and targeted COVID-19 border testing via reinforcement learning.
Nature
Sep 22, 2021
Throughout the coronavirus disease 2019 (COVID-19) pandemic, countries have relied on a variety of ad hoc border control protocols to allow for non-essential travel while safeguarding public health, from quarantining all travellers to restricting ent...
A Machine Learning Model for Evaluating Imported Disease Screening Strategies in Immigrant Populations.
The American journal of tropical medicine and hygiene
Sep 20, 2021
Given the high prevalence of imported diseases in immigrant populations, it has postulated the need to establish screening programs that allow their early diagnosis and treatment. We present a mathematical model based on machine learning methodologie...
Communicable Diseases, Imported
Emigrants and Immigrants
Asia
South America
Central America
Adolescent
Child, Preschool
Child
Models, Theoretical
Mexico
Mass Screening
Early Diagnosis
Spain
Middle Aged
Infant
Humans
Prevalence
Adult
Machine Learning
Africa
Cross-Sectional Studies
Infant, Newborn
Retrospective Studies
Male
Aged
Female
Aged, 80 and over
Young Adult
Multivariate random forest prediction of poverty and malnutrition prevalence.
PloS one
Sep 8, 2021
Advances in remote sensing and machine learning enable increasingly accurate, inexpensive, and timely estimation of poverty and malnutrition indicators to guide development and humanitarian agencies' programming. However, state of the art models ofte...
Deep Learning-Based Natural Language Processing in Radiology: The Impact of Report Complexity, Disease Prevalence, Dataset Size, and Algorithm Type on Model Performance.
Journal of medical systems
Sep 4, 2021
In radiology, natural language processing (NLP) allows the extraction of valuable information from radiology reports. It can be used for various downstream tasks such as quality improvement, epidemiological research, and monitoring guideline adherenc...
Detection of subclinical rheumatic heart disease in children using a deep learning algorithm on digital stethoscope: a study protocol.
BMJ open
Aug 5, 2021
INTRODUCTION: Rheumatic heart diseases (RHDs) contribute significant morbidity and mortality globally. To reduce the burden of RHD, timely initiation of secondary prophylaxis is important. The objectives of this study are to determine the frequency o...
The cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD): Applying machine learning to the prediction of cardiovascular comorbidities.
Respiratory medicine
Jul 7, 2021
BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous group of lung conditions that are challenging to diagnose and treat. As the presence of comorbidities often exacerbates this scenario, the characterization of patients with C...
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