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2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
We describe results that show the effectiveness of machine learning in the automatic diagnosis of certain neurodegenerative diseases, several of which alter speech and language production. We analyzed audio from 9 control subjects and 30 patients diagnosed with one of three subtypes of Frontotemporal Lobar Degeneration. From this data, we extracted features of the audio signal and the words the patient used, which were obtained using our automated transcription technologies. We thendoi:10.1109/iembs.2008.4650249 pmid:19163752 fatcat:we3guradxzhddjgowadzw6opqe