A Novel Framework for Speech-Based Detection of Schizophrenia using Machine Learning

Schizophrenia is a severe mental disorder that affects a person’s thoughts, feelings and behavior. The disorder thus has serious impact on a person’s personal and professional life. Traditionally the detection of schizophrenia is so far done with Electro Encephalography and MRI scans which make use of probabilistic methods. These methods are only useful when certain symptoms of the disorder are found. For early detection, a good method would be to use speech-based document using Conditional Random Fields algorithm. This method will use tagging of various speech components.