Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "Kasperczuk, Anna" wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
Selected morphotic parameters differentiating ulcerative colitis from Crohn’s disease
Autorzy:
Kasperczuk, Anna
Powiązania:
https://bibliotekanauki.pl/articles/2112830.pdf
Data publikacji:
2021
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
action rules
data mining
colon disease
morphotic parameters
smoking
Opis:
This paper presents a method that binds statistical and data mining techniques, which aims to support the decision-making process in selected diseases of the digestive system. Currently, there is no precise diagnosis for ulcerative colitis (UC) and Crohn's disease (CD). Specialist physicians must exclude many other diseases occurring in the colon. The first goal of this study is a retrospective analysis of medical data of patients hospitalised in the Department of Gastroenterology and Internal Diseases, Bialystok, and finding the symptoms differentiating the two analysed diseases. The second goal is to build a system that clearly points to one of the two diseases UC or CD, which shortens the time of diagnosis and facilitates the future treatment of patients. The work focuses on building a model that can be the basis for the construction of action rules, which are one of the basic elements in the medical recommendation system. Generated action rules indicated differentiating factors, such as mean corpuscular volume, platelets (PLTs), neutrophils, monocytes, eosinophils, basophils, alanine aminotransferase (ALAT), creatinine, sodium and potassium. Other important parameters were smoking and blood in stool.
Źródło:
Acta Mechanica et Automatica; 2021, 15, 4; 249--253
1898-4088
2300-5319
Pojawia się w:
Acta Mechanica et Automatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Association rules in medical data classification
Autorzy:
Kasperczuk, Anna
Jasińska, Aleksandra
Zdrodowska, Małgorzata
Dardzińska-Głębocka, Agnieszka
Powiązania:
https://bibliotekanauki.pl/chapters/2204723.pdf
Data publikacji:
2022
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
association rules
classification
classification based on association (CBA)
Opis:
This chapter is focused on the application of association rules to classify medical data. There is no data mining technique that can produce consistent results for all types of medical data. The effectiveness of a data mining technique depends, among other things, on the type of data collected for study. The purpose of the following work is to see if combining two data mining methods will give better results than using them individually. For this purpose, data on breast cancer in women was used. The results showed that using a hybrid combination of association rules to produce a classifier can improve classification performance.
Źródło:
Advances in biomedical engineering; 123–142
9788367185400
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multifractal detrended fluctuation analysis of heart rate variability
Autorzy:
Bębas, Ewelina
Kasperczuk, Anna
Oczeretko, Edward
Bossowski, Artur
Borowska, Marta
Powiązania:
https://bibliotekanauki.pl/chapters/2204804.pdf
Data publikacji:
2022
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
fractal dimension
heart rate variability
ECG
diabetes
children
multifractal detrended fluctuation analysis
multifractal
Opis:
The analysis of heart rate variability can be used to predict cardiovascular state in diabetic children. Studies on HRV are mainly based on RR intervals of the ECG signal and include both linear indices and nonlinear characteristics. The current study aims at applying Multifractal Detrended Fluctuation Analysis to investigate signals of the heart rate variability (HRV) in 50 healthy children (group K), 27 patients suffering from diabetes type 1 without subsequent vascular complications (group A) and 35 patients suffering from diabetes type 1 with subsequent vascular complications (hypertension) (group B). Multifractal features were extracted to quantitatively compare signal complexity between the healthy group and the group of children with diabetes and diabetes with complications. The MFDFA analysis showed the multi-fractional nature of the signals in all groups. The characteristic MFDFA parameters were determined and subjected to statistical analysis. It showed differences in parameters h(1) and h(2) between the control group K and group A. This gives rise to the development of further research in an attempt to distinguish between these groups.
Źródło:
Advances in biomedical engineering; 109-122
9788367185400
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies