Predicting Autism Spectrum Disorders Through Machine Learning Techniques
Journal Title: International Journal for Modern Trends in Science and Technology - Year 2024, Vol 10, Issue 9
Abstract
These days, autism spectrum disorder complaint is getting a wider issue affecting people of all periods. The conservation of the case's physical and internal health can be mainly backed by early opinion of this neurological condition. The use of machine literacy approaches for early autism spectrum disorder (ASD) vaticination is being delved in this study. use machine literacy ways to produce the model, similar as Random Forest, Adaboost classifier. A Streamlit- developed, user-friendly web interface is integrated with the model in this design. letting users enter medical information to get estimates of possible ASD presence Predicting Autism Spectrum Diseases Through Machine Learning ways
Authors and Affiliations
Dr. G. Chamundeswari, P. Swarupa, P. Jahnavi, M. Sai krishna
Keywords
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- EP ID EP747898
- DOI https://doi.org/10.46501/IJMTST1009019
- Views 51
- Downloads 0
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