HIGHLIGHTS
- who: Miguel Terriza and colleagues from the Neuro-Computing and Neuro-Robotics Research Group, Complutense University of Madrid, Madrid, Spain have published the article: Use of Laughter for the Detection of Parkinsonu2019s Disease: Feasibility Study for Clinical Decision Support Systems, Based on Speech Recognition and Automatic Classification Techniques, in the Journal: (JOURNAL)
- what: The authors provide evidence for the feasibility of clinical decision support systems for the accurate diagnosis of Parkinson`s disease based on the acoustic characteristics of laughter, analyzed with speech recognition methods, and categorized with automatic classification techniques. All subjects gave detailed . . .
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