Machine Learning Based Early Diagnosis of ADHD with SHAP Value Interpretation: A Retrospective Observational Study DOI Creative Commons
Xinyu Zhang,

Xue Xiao,

Yang Luo

et al.

Neuropsychiatric Disease and Treatment, Journal Year: 2025, Volume and Issue: Volume 21, P. 1075 - 1090

Published: May 1, 2025

Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in children, characterized by inattention, hyperactivity, and impulsivity. Current diagnostic methods for ADHD rely primarily on behavioral assessments, which can be challenging due to symptom overlap with other psychiatric disorders significant inter-individual variability. Developing potential early imperative mitigate the risk of misdiagnosis enhance evaluation treatment efficacy. The study was conducted at Department Pediatrics, Affiliated Hospital Jiangnan University, from November 2022 January 2024. Clinical data, including complete blood count, liver kidney function tests, glucose levels, serum electrolyte 25-dihydroxyvitamin D3 were collected. Feature selection model construction performed using various machine learning algorithms. Our results indicated that Gradient Boosting Machine algorithm optimal model. analyses suggest (GBM) may choice, highlighting beta-2 microglobulin red cell distribution width, D3, percentage eosinophils as key predictors risk, thereby aiding diagnosis. Further large-scale studies are warranted validate these findings explore underlying mechanisms.

Language: Английский

Causal relationship between B vitamins and neuropsychiatric disorders: a systematic review and meta-analysis DOI
Mengfei Ye, Xiaopeng Yang,

Junwei Yan

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2025, Volume and Issue: 170, P. 106068 - 106068

Published: Feb. 13, 2025

Language: Английский

Citations

2
Nutritional management and autism spectrum disorder: A systematic review DOI Open Access
Mohammed Al‐Beltagi

World Journal of Clinical Pediatrics, Journal Year: 2024, Volume and Issue: 13(4)

Published: Oct. 30, 2024

BACKGROUND Autism spectrum disorder (ASD) presents unique challenges related to feeding and nutritional management. Children with ASD often experience difficulties, including food selectivity, refusal, gastrointestinal issues. Various interventions have been explored address these challenges, dietary modifications, vitamin supplementation, therapy, behavioral interventions. AIM To provide a comprehensive overview of the current evidence on management in ASD. We examine effectiveness interventions, supplements, mealtime practices addressing needs children METHODS systematically searched relevant literature up June 2024, using databases such as PubMed, PsycINFO, Scopus. Studies were included if they investigated or strategies improve behaviors assessed quality studies synthesized findings impact various difficulties outcomes. Data extraction focused intervention types, study designs, participant characteristics, outcomes measured, effectiveness. RESULTS The review identified 316 that met inclusion criteria. indicates while supplements may offer benefits managing specific symptoms deficiencies, approaches varies. Feeding therapy gradual exposure positive reinforcement, promise acceptance behaviors. also highlight importance creating supportive environments tailored sensory CONCLUSION Nutritional for requires multifaceted approach includes strategies. underscores need personalized further research refine treatment protocols Collaborative efforts among healthcare providers, educators, families are essential optimize this population's health practices. Enhancing our understanding sustainability long-term is optimizing care improving life their families.

Language: Английский

Citations

3
Gut–Brain Inflammatory Pathways in Attention-Deficit/Hyperactivity Disorder: The Role and Therapeutic Potential of Diet DOI Creative Commons

Noëlle Lewis,

Jim Lagopoulos, Anthony Villani

et al.

Metabolites, Journal Year: 2025, Volume and Issue: 15(5), P. 335 - 335

Published: May 19, 2025

Attention-deficit/hyperactivity disorder (ADHD) is a common childhood-onset neurodevelopmental that often persists into adulthood, leading to various adverse outcomes. Its underlying pathology multifactorial, involving neurotransmitter imbalances, gut microbiota alterations, and oxidative inflammatory dysregulation. Diet, key environmental modifier of ecology, consistently poorer in individuals with ADHD, multiple nutrients implicated its pathophysiology. This review examines the role specific such as omega-3 fatty acids, micronutrients, potentially harmful dietary components, well broader patterns, particularly Western diet Mediterranean (MedDiet), relation ADHD symptoms. It also evaluates both whole-diet supplement-based clinical interventions, supporting growing recognition nutrition safe relatively affordable modifiable factor management. Additionally, biological mechanisms linking are reviewed, highlighting strong evidence for involvement dysbiosis processes. Despite well-documented antioxidant, anti-inflammatory, microbiome benefits MedDiet, direct research investigating remains limited. Most approaches date have focused on elimination diets, leaving significant gap understanding potential MedDiet Therefore, this outlines preliminary components modulators ADHD-related pathways, indicating therapeutic approach. However, further required rigorously evaluate efficacy. Finally, limitations observational interventional nutritional discussed, along recommendations future directions.

Language: Английский

Citations

0
Machine Learning Based Early Diagnosis of ADHD with SHAP Value Interpretation: A Retrospective Observational Study DOI Creative Commons
Xinyu Zhang,

Xue Xiao,

Yang Luo

et al.

Neuropsychiatric Disease and Treatment, Journal Year: 2025, Volume and Issue: Volume 21, P. 1075 - 1090

Published: May 1, 2025

Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in children, characterized by inattention, hyperactivity, and impulsivity. Current diagnostic methods for ADHD rely primarily on behavioral assessments, which can be challenging due to symptom overlap with other psychiatric disorders significant inter-individual variability. Developing potential early imperative mitigate the risk of misdiagnosis enhance evaluation treatment efficacy. The study was conducted at Department Pediatrics, Affiliated Hospital Jiangnan University, from November 2022 January 2024. Clinical data, including complete blood count, liver kidney function tests, glucose levels, serum electrolyte 25-dihydroxyvitamin D3 were collected. Feature selection model construction performed using various machine learning algorithms. Our results indicated that Gradient Boosting Machine algorithm optimal model. analyses suggest (GBM) may choice, highlighting beta-2 microglobulin red cell distribution width, D3, percentage eosinophils as key predictors risk, thereby aiding diagnosis. Further large-scale studies are warranted validate these findings explore underlying mechanisms.

Language: Английский

Citations

0