- Tytuł:
- Pattern recognition approach to differentiation of disease severity in patients with amyotrophic lateral sclerosis
- Autorzy:
-
Jóźwik, A.
Sokołowska, B.
Niebroj-Dobosz, I.
Janik, P.
Kwieciński, H. - Powiązania:
- https://bibliotekanauki.pl/articles/333433.pdf
- Data publikacji:
- 2008
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
rozpoznawanie obrazu
klasyfikacja K-NN
erytropoetyna
pattern recognition
k-NN classifier
amyotropic lateral sclerosis
erythropoietin - Opis:
- A possibility of recognition of the clinical status of patients with amyotrophic lateral sclerosis (ALS) in relation to severity of the disease was investigated. Three groups: (i) healthy controls (n=15) and two subgroups of ALS patients (ii) mild (n=15) and (iii) severe (n=15) were considered as classes. Four features of the subjects: (i) their age (AGE) (ii) erythropoietin concentration in serum (SERUM), (iii) in cerebrospinal fluid (CSF), and (iv) duration time of the disease (Tdis) were used for classifier construction based on the k Nearest Neighbours (k-NN) rule, known from pattern recognition theory. The presented results demonstrate that the pattern recognition approach may be useful for the evaluation of the severity of the ALS disease.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2008, 12; 143-147
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł