Name
Title | ||
|---|---|---|
Analysis Of School Performance Of Children And Adolescents With Attention-Deficit/Hyperactivity Disorder: A Dimensionality Reduction Approach |
Abstract | ||
|---|---|---|
Attention-Deficit/Hyperactivity Disorder (ADHD) is defined by harmful inattention, disorganization, and/or hyperactivity and impulsivity. ADHD can negatively affect an individual's life, but it is not a definitive factor for poor school performance. This work aims to identify classification rules that best describe the school performance in arithmetic, writing, and reading of students with ADHD. For this, information obtained from the Genetic Algorithm, Random Forest and specialists in ADHD were used so that later the VTJ48 and JRip algorithms could be applied. It is usual in the health area to collect various information about the individual, resulting in the frequent need to reduce the base's dimensionality. The results found were promising, reaching up to 92% of F-Measure. The discovered rules point to environmental and emotional factors as drivers of school performance prognosis and reinforce that ADHD is not synonymous with academic failure. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.5220/0010240401550165 | HEALTHINF: PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES - VOL. 5: HEALTHINF |
Keywords | DocType | Citations |
Dimensionality Reduction, Features Selection, Machine Learning, ADHD, School Performance | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Caroline Jandre | 1 | 0 | 0.34 |
| Bruno C. Santos | 2 | 0 | 0.34 |
| Marcelo Balbino | 3 | 0 | 0.34 |
| Débora de Miranda | 4 | 0 | 0.34 |
| Luis Enrique Zárate | 5 | 0 | 0.34 |
| Cristiane Nobre | 6 | 0 | 0.34 |