An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson's Disease Patients.
Daniel Escobar-GrisalesTomás Arias-VergaraCristian David Ríos-UrregoElmar NöthAdolfo M. GarcíaJuan Rafael Orozco-ArroyavePublished in: INTERSPEECH (2023)
Keyphrases
- multiple sclerosis
- patient groups
- clinically relevant
- medical doctors
- diagnostic tool
- multi modal
- disease progression
- early diagnosis
- cardiovascular disease
- emergency department
- amyotrophic lateral sclerosis
- chronic obstructive pulmonary disease
- liver disease
- clinical studies
- high risk
- infectious disease
- medical practitioners
- cancer patients
- colorectal cancer
- natural language processing
- natural language
- chronic disease
- hidden markov models
- caudate nucleus
- health care
- breast cancer
- prosodic features
- diabetic patients
- medical practice
- intraoperative
- medical data
- clinical data
- visual cues
- medical records