Sholpan Bulekbayeva
Biographic Data
| ID | 8241454 |
|---|---|
| NAME | Sholpan Bulekbayeva |
| GIVEN NAMES | Sholpan |
| FAMILY NAME | Bulekbayeva |
| SIGNATURE | BULEKBAYEVA S |
| AFFILIATIONS | National Research Center for Maternal and Child Health |
| ORCID | 0000-0002-1415-5519 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Artificial intelligence–enhanced mapping of the international classification of functioning, disability and health via a mobile app
Background: Mobile health applications and artificial intelligence (AI) are increasingly utilized to streamline clinical workflows and support functional assessment. The International Classification of Functioning, Disability and Health (ICF) provides a standardized framework for evaluating patient functioning, yet AI-driven ICF mapping tools remain underexplored in routine clinical settings. Objective: This study aimed to evaluate the efficiency…
Stress, anxiety and depression in parents of children with autism spectrum disorders in Kazakhstan
Increasing public awareness about autism and providing early detection and interventions for distressed caregivers of children with autism may be helpful in improving healthy functioning of parents and the entire family
No prominent works on this page.
Stress, anxiety and depression in parents of children with autism spectrum disorders in Kazakhstan
Increasing public awareness about autism and providing early detection and interventions for distressed caregivers of children with autism may be helpful in improving healthy functioning of parents and the entire family
Artificial intelligence–enhanced mapping of the international classification of functioning, disability and health via a mobile app
Background: Mobile health applications and artificial intelligence (AI) are increasingly utilized to streamline clinical workflows and support functional assessment. The International Classification of Functioning, Disability and Health (ICF) provides a standardized framework for evaluating patient functioning, yet AI-driven ICF mapping tools remain underexplored in routine clinical settings. Objective: This study aimed to evaluate the efficiency…
Medicine (2 works) · Anxiety (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Autism (1 work) · Autism spectrum disorder (1 work) · Autism Spectrum Disorder Research (1 work) · Cerebral Palsy and Movement Disorders (1 work) · Child and Adolescent Psychosocial and Emotional Development (1 work) · Clinical Psychology (1 work)