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 36
- Downloads 0
AI Driven Technological Drift in Interactive Learning
AI and ML technology are changing how people learn in both education and professional growth. Our approach integrates AI-driven study schedules, resume tracking, student performance analysis, and discussion facilitation...
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...
Automated Classification of Blackgram Plant Diseases Using ResNet-50: A Focus on Cuscuta Detection
The identification and classification of plant diseases are crucial for ensuring the health and productivity of crops like blackgram (Vigna mungo), a widely cultivated legume. Among various threats, parasitic plants like...
Accident Detection & Alert System
This project presents an automotive localization system that utilizes GPS and GSM-SMS services. The system enables the localization of the automobile and transmits its position to the owner's mobile phone via SMS upon re...
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...