AIMC Topic: Prevalence

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Artificial intelligence system for training diagnosis and differentiation with molar incisor hypomineralization (MIH) and similar pathologies.

Clinical oral investigations Sep 6, 2022
OBJECTIVES: Molar incisor hypomineralization (MIH) is a difficult-to-diagnose developmental disorder of the teeth, mainly in children and adolescents. Due to the young age of the patients, problems typically occur with the diagnosis of MIH. The aim o...
Humans Artificial Intelligence Incisor Molar Dental Enamel Hypoplasia Prevalence Adolescent Child
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Linear and Machine Learning modelling for spatiotemporal disease predictions: Force-of-Infection of Chagas disease.

PLoS neglected tropical diseases Jul 19, 2022
BACKGROUND: Chagas disease is a long-lasting disease with a prolonged asymptomatic period. Cumulative indices of infection such as prevalence do not shed light on the current epidemiological situation, as they integrate infection over long periods. I...
Humans Machine Learning Linear Models Chagas Disease Prevalence Colombia
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Exploring COVID-19-Related Stressors: Topic Modeling Study.

Journal of medical Internet research Jul 13, 2022
BACKGROUND: The COVID-19 pandemic has affected the lives of people globally for over 2 years. Changes in lifestyles due to the pandemic may cause psychosocial stressors for individuals and could lead to mental health problems. To provide high-quality...
Natural Language Processing Stress, Psychological Pandemics United States COVID-19 Social Media SARS-CoV-2 Mental Health Prevalence Latent Class Analysis Humans
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A novel artificial neural network for the diagnosis of orofacial pain and temporomandibular disorders.

Journal of oral rehabilitation Jun 30, 2022
BACKGROUND: Temporomandibular disorders (TMD) and orofacial pain are highly prevalent. This prevalence can be compared to that of leading non-communicable diseases (NCDs). However, it is surprising to still find a high degree of controversy regarding...
Temporomandibular Joint Disorders Facial Pain Humans Neural Networks, Computer Artificial Intelligence Prevalence
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Machine learning-based risk factor analysis and prevalence prediction of intestinal parasitic infections using epidemiological survey data.

PLoS neglected tropical diseases Jun 14, 2022
BACKGROUND: Previous epidemiological studies have examined the prevalence and risk factors for a variety of parasitic illnesses, including protozoan and soil-transmitted helminth (STH, e.g., hookworms and roundworms) infections. Despite advancements ...
Humans Machine Learning Risk Factors Factor Analysis, Statistical Prevalence Child Support Vector Machine
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Design and Evaluation of a Postpartum Depression Ontology.

Applied clinical informatics Mar 9, 2022
OBJECTIVE: Postpartum depression (PPD) remains an understudied research area despite its high prevalence. The goal of this study is to develop an ontology to aid in the identification of patients with PPD and to enable future analyses with electronic...
Biological Ontologies Depression, Postpartum Risk Factors Prevalence Humans Electronic Health Records Female
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The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China.

PloS one Feb 23, 2022
BACKGROUND AND OBJECTIVE: Tuberculosis (Tuberculosis, TB) is a public health problem in China, which not only endangers the population's health but also affects economic and social development. It requires an accurate prediction analysis to help to m...
Forecasting Prognosis Public Health Prevalence Deep Learning China Humans Probability Tuberculosis Seasons Incidence Mycobacterium tuberculosis Models, Statistical
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Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES.

Scientific reports Feb 10, 2022
The prevalence of cardiocerebrovascular disease (CVD) is continuously increasing, and it is the leading cause of human death. Since it is difficult for physicians to screen thousands of people, high-accuracy and interpretable methods need to be prese...
Cerebrovascular Disorders Heart Disease Risk Factors Prevalence Nutrition Surveys Support Vector Machine Male Cardiovascular Diseases Republic of Korea Humans Female Machine Learning Risk Factors
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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 ...
Sociodemographic Factors Anthropometry Prevalence Female Humans Hypertension Adolescent Cross-Sectional Studies Neural Networks, Computer Malaysia Computational Biology Male Bayes Theorem
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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 ...
Humans Machine Learning Students Prevalence Stress, Psychological Universities
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