An early diagnosis of neurodevelopmental disorders can improve treatment and significantly decrease associated healthcare costs. In this chapter, we will use supervised learning to diagnose Autistic Spectrum Disorder (ASD) based on behavioral features and individual characteristics. More specifically, we will build and deploy a neural network using the Keras API.
We will cover the following topics in this chapter:
- ASD screening using machine learning
- Introducing the dataset
- Splitting the dataset into training and testing datasets
- Building the network
- Testing the network
- Solving overfitting issues using dropout regularization
