- Tytuł:
- The use of logistic regression in the ovarian cancer diagnostics
- Autorzy:
-
Sompolska-Rzechuła, Agnieszka
Machowska-Szewczyk, Małgorzata
Chudecka-Głaz, Anita
Cymbaluk-Płoska, Aneta
Menkiszak, Janusz - Powiązania:
- https://bibliotekanauki.pl/articles/424781.pdf
- Data publikacji:
- 2014
- Wydawca:
- Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
- Tematy:
-
logit model
classification quality of female patients
ovarian cancer - Opis:
- In the present elaboration an attempt has been made to build the logit model which makes it possible to specify the probability of diagnosing the ovarian carcinoma in the female patients with pathological lesion in the ovary. Based on sampling of 210 patients treated and diagnosed at the Teaching Hospital of Operative Gynaecology and Gynaecological Oncology of Women and Girls of the Pomeranian Medical University, the evaluations of the parameters of two logit models were determined and the estimation of the quality of obtained models was made. The obtained results may contribute to supporting of the ovarian cancer diagnostics.
- Źródło:
-
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2014, 3(45); 151-164
1507-3866 - Pojawia się w:
- Econometrics. Ekonometria. Advances in Applied Data Analytics
- Dostawca treści:
- Biblioteka Nauki
Artykuł