Houcine Benlaria
Biographic Data
| ID | 3560851 |
|---|---|
| NAME | Houcine Benlaria |
| GIVEN NAMES | Houcine |
| FAMILY NAME | Benlaria |
| SIGNATURE | BENLARIA H |
| AFFILIATIONS | Jouf University |
| ORCID | 0000-0001-7108-7068 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Explainable AI for early developmental disability detection
Background Developmental disabilities affect approximately 1 in 6 children aged 3–17 years. The diagnostic process typically spans 2–3 years and disproportionately affects underserved populations. Traditional machine learning approaches for screening have demonstrated promising accuracy but often lack the transparency required for clinical acceptance. Methods We developed and validated an Adaptive Neuro-Fuzzy Inference System (ANFIS) using a long…
Balancing costs and care
Introduction This study explores the economic burden and accessibility of healthcare services for families in Saudi Arabia managing Down syndrome (DS), emphasizing urban-rural disparities within the country’s dual healthcare system. Methods A cross-sectional survey design was employed to collect primary data from 220 families (urban=128, rural=92) through self-administered questionnaires distributed between January and September 2024. Multiple re…
Understanding the landscape
Barriers, such as inadequate accessibility and accommodation, may impede employment access and progression for people with disabilities (PwDs) in the Kingdom of Saudi Arabia (KSA). This study examined how assistive technology (AT) utilization influences the employment experiences of PwDs in KSA. We explored AT types in use and whether gender, age, and disability type shape AT effectiveness. We sought to identify challenges hindering AT adoption, …
Bridging Higher Education Outcomes and Labour Market Needs
This study aimed to investigate the relationship between various factors that contribute to employability outcomes among graduates of Jouf University, in line with the vision of the Kingdom of Saudi Arabia to bridge the gap between higher education outcomes and labour market needs by the year 2030. This study employed a questionnaire as the research tool, which was distributed to a sample of 220 graduates of Jouf University. Structural equation m…
Bridging Higher Education Outcomes and Labour Market Needs
This study aimed to investigate the relationship between various factors that contribute to employability outcomes among graduates of Jouf University, in line with the vision of the Kingdom of Saudi Arabia to bridge the gap between higher education outcomes and labour market needs by the year 2030. This study employed a questionnaire as the research tool, which was distributed to a sample of 220 graduates of Jouf University. Structural equation m…
Bridging Higher Education Outcomes and Labour Market Needs
This study aimed to investigate the relationship between various factors that contribute to employability outcomes among graduates of Jouf University, in line with the vision of the Kingdom of Saudi Arabia to bridge the gap between higher education outcomes and labour market needs by the year 2030. This study employed a questionnaire as the research tool, which was distributed to a sample of 220 graduates of Jouf University. Structural equation m…
Understanding the landscape
Barriers, such as inadequate accessibility and accommodation, may impede employment access and progression for people with disabilities (PwDs) in the Kingdom of Saudi Arabia (KSA). This study examined how assistive technology (AT) utilization influences the employment experiences of PwDs in KSA. We explored AT types in use and whether gender, age, and disability type shape AT effectiveness. We sought to identify challenges hindering AT adoption, …
Balancing costs and care
Introduction This study explores the economic burden and accessibility of healthcare services for families in Saudi Arabia managing Down syndrome (DS), emphasizing urban-rural disparities within the country’s dual healthcare system. Methods A cross-sectional survey design was employed to collect primary data from 220 families (urban=128, rural=92) through self-administered questionnaires distributed between January and September 2024. Multiple re…
Explainable AI for early developmental disability detection
Background Developmental disabilities affect approximately 1 in 6 children aged 3–17 years. The diagnostic process typically spans 2–3 years and disproportionately affects underserved populations. Traditional machine learning approaches for screening have demonstrated promising accuracy but often lack the transparency required for clinical acceptance. Methods We developed and validated an Adaptive Neuro-Fuzzy Inference System (ANFIS) using a long…
Psychology (2 works) · Adaptive neuro fuzzy inference system (1 work) · Adolescent and Pediatric Healthcare (1 work) · Assistive technology (1 work) · Assistive Technology in Communication and Mobility (1 work) · Autism Spectrum Disorder Research (1 work) · Bridge (graph theory (1 work) · Child development (1 work) · Computer Science (1 work) · Context (archaeology (1 work)