Aqeel Al-Ajmi

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Machine learning techniques such as support vector machines are applied to a text classification task to determine mental health problems. Inputs are transcribed speech samples from a ‘‘structured-narrative task’’ and outputs are psychiatric categories such as schizophrenia. In a preliminary trial, subjects from three groups generated speech samples: those(More)
Diagnostic categories in psychiatry can be broad and heterogeneous, e.g. schizophrenia, which includes very different symptoms. In order to arrive at diagnostic categories that are practical and task-relevant, text mining (clustering) techniques are used to extract diagnostic information from psychiatric reports and other texts, in this case Internet(More)
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