Computer-aided diagnosis and prediction in brain disorders

Abstract

Computer-aided methods have shown added value for diagnosing and predicting brain disorders and can thus support decision making in clinical care and treatment planning. This chapter will provide insight into the type of methods, their working, their input data -such as cognitive tests, imaging and genetic data -and the types of output they provide. We will focus on specific use cases for diagnosis, i.e. estimating the current 'condition' of the patient, such as early detection and diagnosis of To appear in O. Colliot (Ed.), Machine Learning for Brain Disorders, Springer