[HTML][HTML] DETECTING COMMON FACTORS INFLUENCING ADHD IN CHILDREN: DEVELOPMENT AND VALIDATION OF A PREDICTIVE MODEL

Z Rui - European journal of biomedical and life sciences, 2021 - cyberleninka.ru
Attention-deficit/hyperactivity disorder (ADHD) is a common chronic condition that is
characterized as hyperactivity, difficulty sustaining attention, and impulsive behavior. Without …

[PDF][PDF] Section 3. Life science

VOFAP MODEL - European Journal of Biomedical and Life Sciences - ppublishing.org
Attention-deficit/hyperactivity disorder (ADHD) is a common chronic condition that is
characterized as hyperactivity, difficulty sustaining attention, and impulsive behavior. Without …

[HTML][HTML] Building a Predictive Model of ADHD among Children

X Guo - European journal of biomedical and life sciences, 2023 - cyberleninka.ru
Attention Deficit/Hyperactivity Disorder (ADHD) is one of the most common
neurodevelopmental disorders of childhood. According to the Centers of Disease Control …

An Overview of predicting the prevalence of ADHD

Y Wei - 2022 3rd International Conference on Mental Health …, 2022 - atlantis-press.com
The prevalence of attention-deficit/hyperactivity disorder (ADHD) has been increasing these
days, and this phenomenon has raised the interest and attention of both society and the …

Predicting ADHD from early childhood data using data mining

M Nurisa, G Dastghaibyfard, H Hadianfard - 2022 - researchsquare.com
One of the most common disorders among school-age children is attention deficit
hyperactivity disorder (ADHD). Although the symptoms mostly appear between the ages of …

[HTML][HTML] Screening of ADHD symptoms in primary school students and investigation of parental awareness of ADHD and its influencing factors: A cross-sectional study

HH Li, TT Wang, HY Dong, YQ Liu, FY Jia - Frontiers in Psychology, 2022 - frontiersin.org
Objective The present study aimed to compare the differences in positive screening rates of
attention deficit hyperactivity disorder (ADHD) symptoms between parents and teachers in …

A Prediction Nomogram for Attention Deficit Hyperactivity Disorder In Children: A Retrospective Study

T Gao, T Wang, W Tang, T Qian, H Qiu, P Xu… - Available at SSRN … - papers.ssrn.com
Background: Attention deficit hyperactivity disorder (ADHD) is a common
neurodevelopmental disorder of childhood which endangers the health of more than 6 …

ADHD Prediction in Children Through Machine Learning Algorithms

DAR Lopez, H Pirim, D Grewell - … on Emerging Trends and Applications in …, 2023 - Springer
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that affects
approximately 5% of children worldwide. It is typically diagnosed based on the presence of …

[HTML][HTML] Predicting children with ADHD using behavioral activity: a machine learning analysis

M Maniruzzaman, J Shin, MAM Hasan - Applied Sciences, 2022 - mdpi.com
Attention deficit hyperactivity disorder (ADHD) is one of childhood's most frequent
neurobehavioral disorders. The purpose of this study is to:(i) extract the most prominent risk …

[HTML][HTML] Distinguishing different types of attention deficit hyperactivity disorder in children using artificial neural network with clinical intelligent test

IC Lin, SC Chang, YJ Huang, TBJ Kuo… - Frontiers in …, 2023 - frontiersin.org
Background Attention deficit hyperactivity disorder (ADHD) is a well-studied topic in child
and adolescent psychiatry. ADHD diagnosis relies on information from an assessment scale …