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
Related Articles
- EP ID EP747898
- DOI https://doi.org/10.46501/IJMTST1009019
- Views 39
- Downloads 0
Optimal Cascaded Terminal Sliding Mode Controller for third-order DC motor model
Applying Terminal Sliding Mode Control (TSM) for a third-order system is always challenging. Most of the cases, authors use a Cascaded type of TSM (CTSM) to control those systems. But with two separate phases of sliding...
Integrated Standalone Wind and Solar to Electric Vehicle Technology with Battery Microgrids in DC Fast Charging Architecture for Sustainable Mobility Initiative
This paper presents a novel approach to electric vehicle (EV) charging infrastructure, integrating solar and wind power with a battery charging station. The system aims to reduce environmental impact and enhance energy r...
Seasonal Variation in Benthic Macrofaunal Diversity and Distribution in Ambuliyar River and Sethubavachatram Coastal Waters, Southeast India
In the present study, benthic macrofaunal diversity and distribution in Ambuliyar River and Sethubavachatram coastal waters were studied and a total of 59 species of macrofauna consisting of three groups namely Polychaet...
Effective Kyphosis Disease Prediction Using Machine Learning Algorithms
Kyphosis is the term used to describe the inward arching of the upper back. This specific ailment is sometimes referred to as"round back" or “hunchback” if there is a noticeable curvature. Kyphosis often occurs due to we...
Benefits and Difficulties of Student-Generative Artificial Intelligence Collaboration in Programming Learning: An Empirical Case Study
Conversational generative artificial intelligence Gen AI is sometimes viewed as a two-edged sword that could result in learning that is only superficial. We created and implemented a programming course that emphasizes st...