Browsing by Author "Battula, Madhuhasa"

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    Predicting Traumatic Brain Injury Through Behavioral Pattern Analysis in Youth with Autism
    (2023-08) Battula, Madhuhasa; Neal, Tiffany; Deodhar, Aditi; Swiezy, Naomi
    This practicum, conducted at HANDS in Autism® in collaboration with the Indiana NeuroDiagnostic Institute (NDI), explored the relationship between patient behavioral profiles and the presence of Traumatic Brain Injury (TBI) in individuals with Autism Spectrum Disorder (ASD). Using a combination of pre-admission data from Cerner and post-discharge data from REDCap, a comprehensive dataset of 58 patients was coded and analyzed to identify behavioral patterns. Prediction models, including Logistic Regression and Random Forest, were developed in Python to assess the likelihood of TBI based on specific behavior indicators. Results revealed statistically significant correlations between certain behavioral patterns and the presence of TBI. This work supports the potential for predictive modeling to improve early identification and intervention strategies for patients with ASD and co-occurring neurological conditions.
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    Unveiling Connections: Exploring Patient Behaviors and Traumatic Brain InjuryMadhuhasa Battula in Autistic Youth at the Indiana NDI Exploratory Project
    (2023-09) Battula, Madhuhasa; Neal , Tiffany; Deodhar , Aditi; Darsanapu, Archana; Swiezy, Naomi
    The Indiana NDI (Neurodevelopmental Institute) Exploratory Project is an initiative that embodies a cooperative effort involving multidisciplinary experts under the auspices of the Indiana Family and Social Services Administration (FSSA), specifically the Division of Mental Health and Addiction (DMHA). In our study, a total of 58 NDI clients were examined. Data was extracted from the RedCap database (Patridge & Bardyn, 2018). This enabled us to assess the potential of various patient behaviors to indicate the presence of Traumatic Brain Injury (TBI) using predictive models, establishing a statistically significant correlation between certain behaviors and the occurrence of TBI. A Heat map exhibiting a positive correlation between patient behaviors and TBI was shown. The data analysis indicates a statistically significant positive correlation between multiple patient behaviors and the presence of traumatic brain injury (TBI), as supported by high model accuracies. This suggests that these patient behaviors may serve as indicators of the presence of TBI and warrant further investigation. Examining the long-term consequences of TBI on behavior is essential to gain a comprehensive understanding of the dynamics involved.