Machine learning in attention-deficit/hyperactivity disorder: new approaches toward understanding the neural mechanisms

M Cao, E Martin, X Li - Translational Psychiatry, 2023 - nature.com
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous
neurodevelopmental disorder in children and has a high chance of persisting in adulthood …

Practical pathway for the management of depression in the workplace: a Canadian perspective

P Chokka, A Bender, S Brennan, G Ahmed… - Frontiers in …, 2023 - frontiersin.org
Major depressive disorder (MDD) and other mental health issues pose a substantial burden
on the workforce. Approximately half a million Canadians will not be at work in any week …

Pengaruh Hyperparameter Tuning untuk Efektivitas pada Pendekatan Hybrid dalam Mendiagnosis Stres dan Depresi: Tinjauan Studi Literatur

B Ramadhan, SF Pane - Jurnal Tekno Insentif, 2024 - jurnal.lldikti4.or.id
Abstrak Tinjauan Sistematik Literatur ini mengkaji efektivitas hyperparameter tuning dalam
pendekatan hybrid untuk diagnosis kesehatan mental, menggunakan metode PRISMA …

A systematic review on the application of machine learning models in psychometric questionnaires for the diagnosis of attention deficit hyperactivity disorder

L Caselles‐Pina, A Quesada‐López… - European Journal of …, 2024 - Wiley Online Library
Attention deficit hyperactivity disorder is one of the most prevalent neurodevelopmental
disorders worldwide. Recent studies show that machine learning has great potential for the …

ADHD ve Sağlıklı Bireylerin Tanısında Boyut Azaltan Zamansal Karakteristik Özellik Çıkarma Yaklaşımı ve 1D-CNN

K Görür - Mühendislik Bilimleri ve Araştırmaları Dergisi, 2023 - dergipark.org.tr
EEG sinyalleri, bir çocukluk nörogelişimsel bozukluğu olan ADHD/Attention Deficit
Hyperactivity Disorder (Dikkat Eksikliği Hiperaktivite Bozukluğu) ile ilgili kritik bilgileri …

Attention-deficit/hyperactivity disorder: clinical phenotypes, polymorphism of life-course manifestations, and therapeutic strategies

I Martsenkovsky, I Martsenkovska… - INTERNATIONAL …, 2024 - inj.zaslavsky.com.ua
Attention-deficit/hyperactivity disorder (ADHD) is a common neurobehavioral disorder that
manifests in childhood and persists into adulthood. The prevalence of ADHD …

Interpretable Machine Learning Approaches for Children's ADHD Detection Using Clinical Assessment Data: An online web application deployment

H Qin, J Wang, W Yan, X Wang, X Qu, N Peng, L Wang - 2024 - researchsquare.com
Background Attention-deficit/hyperactivity disorder (ADHD) is a prevalent mental disorder
characterized by hyperactivity, impulsivity, and inattention. This study aims to develop a …

Novel strategies for identifying and addressing mental health and learning disorders in school-age children

K Konishcheva - 2023 - theses.hal.science
The prevalence of mental health and learning disorders in school-age children is a growing
concern. Yet, a significant delay exists between the onset of symptoms and referral for …

[PDF][PDF] Розлад дефіциту уваги та гіперактивності: клінічні фенотипи, поліморфізм проявів протягом життя та терапевтичні стратегії

І Марценковський, І Марценковська… - Том 20, N № 2 …, 2024 - inj.zaslavsky.com.ua
Розлад дефіциту уваги та гіперактивності (РДУГ) є поширеним нейроповедінковим
розладом, який маніфестує в дитинстві та триває у дорослому віці. Поширеність РДУГ …

TRANSTORNO DE DÉFICIT DE ATENÇÃO E HIPERATIVIDADE NA VIDA ADULTA: DIFICULDADE DE UM DIAGNÓSTICO ASSERTIVO E REALIZAÇÃO DE …

I Scarabelli, BL de Freitas… - Revista …, 2024 - ojs.revistacontemporanea.com
O Transtorno de Déficit de Atenção e Hiperatividade (TDAH) persiste em muitos adultos e
impacta várias áreas da vida, sendo associado a comorbidades psiquiátricas e somáticas …