Predicting Adverse Events in Developmental Disabilities Population
James P. McGlothlin, Micah Price-Offerman, Robbie Beyer, George Casey, John P. Barile
2025
Abstract
Individuals with development disabilities can experience a variety of adverse events. We have found that these events are often unreported. In this project, we work with a large government program which assists such individuals. The goal of the project is to use artificial intelligence (AI) and other modern technologies to predict adverse events. This will allow case managers to better avoid adverse events, prepare for them and help the program participants. Our initial results show very good accuracy and precision in identifying risk and predicting participant adverse events.
DownloadPaper Citation
in Harvard Style
McGlothlin J., Price-Offerman M., Beyer R., Casey G. and Barile J. (2025). Predicting Adverse Events in Developmental Disabilities Population. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-731-3, SciTePress, pages 844-849. DOI: 10.5220/0013318200003911
in Bibtex Style
@conference{healthinf25,
author={James McGlothlin and Micah Price-Offerman and Robbie Beyer and George Casey and John Barile},
title={Predicting Adverse Events in Developmental Disabilities Population},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2025},
pages={844-849},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013318200003911},
isbn={978-989-758-731-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Predicting Adverse Events in Developmental Disabilities Population
SN - 978-989-758-731-3
AU - McGlothlin J.
AU - Price-Offerman M.
AU - Beyer R.
AU - Casey G.
AU - Barile J.
PY - 2025
SP - 844
EP - 849
DO - 10.5220/0013318200003911
PB - SciTePress