Autism Spectrum Disorder Analysis Using Different Machine Learning Algorithms

ASD (autism spectrum disorder) affects how people communicate, socialize, and behave. It usually starts showing up in childhood but can affect people of any age. While ASD can't be cured completely, early detection and intervention can help manage its symptoms effectively, Spotting ASD early can be tough because its symptoms vary and can be similar to those of other mental health issues. Advanced technology like deep learning and different machine learning algorithms can assist doctors in diagnosing ASD more accurately. In our study, we analyse different algorithm and suggest using support vector classifier and analyse lots of different features and figure out the most important ones for predicting ASD early on. This algorithm will make best predictions and more accurate. Finding ASD early is really important for improving how patients do so that they don’t have to suffer more later and saving money in healthcare. Machine learning methods have shown promise in predicting autism by looking at complicated data patterns and figuring out risk factors. By using data from various websites and analysing and thinking about various categories on which evaluation can be done, we can make better models for predicting autism in any age group of people.