- Tytuł:
- Diagnosing Parkinson’s disease using the classification of speech signals
- Autorzy:
-
Froelich, W.
Wróbel, K.
Porwik, P. - Powiązania:
- https://bibliotekanauki.pl/articles/333984.pdf
- Data publikacji:
- 2014
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
Parkinson's disease
medical diagnosis
data classification
choroba Parkinsona
diagnostyka medyczna
klasyfikacja danych - Opis:
- This paper addressees the problem of an early diagnosis of Parkinson’s disease by the classification of characteristic features of person’s voice. A new, two-step classification approach is proposed. In the first step, the voice samples are classified using standard state-of-the-art classifiers. In the second step, the classified samples are assigned to patients and the final classification process based on majority criterion is performed. The advantage of using our new approach is the resulting, reliable patientoriented medical diagnose. The proposed two-step method of classification allows also to deal with the variable number of voice samples gathered for every patient. Preliminary experiments revealed quite satisfactory classification accuracy obtained during the performed leave-one-out cross validation.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2014, 23; 187-193
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł