Algorithm for Constructing a Classifier Team Using a Modified PCA (Principal Component Analysis) in the Task of Diagnosis of Acute Lymphocytic Leukaemia Type B-CLL

Topolski, Mariusz; Topolska, Katarzyna

doi:10.1007/978-3-030-29859-3_52

Cited by 11 publications

(8 citation statements)

References 10 publications

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“…Another method, Linear Discriminant Analysis (LDA), provides for partition into regions with linear functions [ 60 ]. Finally, the last two methods used for modelling were (i) Class-Centroid Principal Component Analysis (CCPCA), which involves the rotation of factors according to class centroids [ 61 – 63 ], and (ii) Gradient Principal Component Analysis (GPCA), in which stochastic gradient is applied to estimate the best rotation angle and the search step length [ 64 ].…”

Section: Resultsmentioning

confidence: 99%

The impact of the COVID-19 pandemic on the mental health of children with psychiatric diagnoses – multidimensional CCPCA Model

et al. 2022

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Background The study aimed to assess the severity of symptoms of anxiety and depression in children with previously diagnosed psychiatric disorders during the COVID-19 pandemic in Poland. Methods Online questionnaires were used to investigate three groups of subjects: patients with a psychiatric diagnosis, primary school pupils, and children from children’s homes. A total of 167 children with their parents or guardians participated in the study. In addition to basic statistics, a multidimensional Centroid Class Principal Component Analysis (CCPCA) model was used. Results It was found that the strongest fear of the coronavirus was experienced by children from children’s homes, while the most severe depressive symptoms and state anxiety were observed among patients diagnosed with psychiatric disorders. Parental care by assisting with school education and lack of close contact with other people (less than two metres) at parents/guardians’ work had the most potent protective effect in reducing the fear of COVID-19. Conclusions There is a need for further research in children and adolescents to develop effective strategies for protecting their mental well-being when faced with social isolation or disease.

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Section: Resultsmentioning

confidence: 99%

The impact of the COVID-19 pandemic on the mental health of children with psychiatric diagnoses – multidimensional CCPCA Model

et al. 2022

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“…The article presents a modified method of pca analysis which is based on a rotation of factors against centroids of classes. It is an extension of the one proposed for a lymphocytic leukemia [Topolski and Topolska 2019].…”

Section: Methods Of Feature Extractionmentioning

confidence: 97%

The Modified Principal Component Analysis Feature Extraction Method for the Task of Diagnosing Chronic Lymphocytic Leukemia Type B-CLL

Topolski¹

2020

jucs

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The vast majority of medical problems are characterised by the relatively high spatial dimensionality of the task, which becomes problematic for many classic pattern recognition algorithms due to the well-known phenomenon of the curse of dimensionality. This creates the need to develop methods of space reduction, divided into strategies for the selection and extraction of features. The most commonly used tool of the second group is the PCA, which, unlike selection methods, does not select a subset of the original set of features and performs its mathematical transformation into a less dimensional form. However, natural downside of this algorithm is the fact that class context is not present in supervised learning tasks. This work proposes a feature extraction algorithm using the approach of the pca method, trying not only to reduce the feature space, but also trying to separate the class distributions in the available learning set. The problematic issue of the work was the creation of a method of feature extraction describing the prognosis for a chronic lymphocytic leukemia type B-CLL, which will be at least as good, or even better than when compared to other quality extractions. The purpose of the research was accomplished for binary and three-class cases in the event in which for verification of extraction quality, five algorithms of machine learning were applied. The obtained results were compared with the application of paired samples Wilcoxon test.

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“…The Multiple Correspondence Analysis -MCA is an exploratory technique for categorizing variables. [5] [49] For quantitative variables, MCA variants such as the PCA [39], CCPCA [40] [41] and GPCA [42] are used. institutions' and 'Institutions about teachers'.…”

Section: Methodsmentioning

confidence: 99%

Selected Aspects of Cooperation between Kindergarten Teachers and Institutions / Organizations – A Statement from the Research Conducted in Poland

Wyczółkowska¹

2021

ujer

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The article presents the research on the cooperation of kindergarten teachers with institutions / organizations. The creation of the vision of a new model of this cooperation required examining the prevailing relations at this level and learning the determinants influencing the activities undertaken by the partners. For this purpose, a research was conducted in Poland in 2016-2017. It was preceded by the pilot study carried out in 2015. The participants of the research in the pilot study were parents of preschool children and kindergarten teachers from villages and towns in the Mazowieckie Voivodeship, and representatives of institutions / organizations cooperating with the kindergartens in the Mazowieckie Voivodeship. In the relevant research, three microsystems were taken into account: parents; teachers working in kindergartens in rural areas, cities and all over Poland; and representatives of institutions / organizations cooperating with kindergarten teachers globally. The data analysis made it possible to select the strengths and weaknesses of cooperation between Polish kindergarten teachers and institutions / organizations. As a result, a based on 9 theses model of cooperation between kindergarten teachers and institutions was created, and the following paradigms were identified: cooperation requires partners' self-reflection, cooperation is based on working at oneself, cooperation creates empathy and trust, cooperation expands linguistic and cultural capital, cooperation that offers a new quality of life in partnership relations is a product of transformations taking place over time.

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Algorithm for Constructing a Classifier Team Using a Modified PCA (Principal Component Analysis) in the Task of Diagnosis of Acute Lymphocytic Leukaemia Type B-CLL

Cited by 11 publications

References 10 publications

The impact of the COVID-19 pandemic on the mental health of children with psychiatric diagnoses – multidimensional CCPCA Model

The impact of the COVID-19 pandemic on the mental health of children with psychiatric diagnoses – multidimensional CCPCA Model

The Modified Principal Component Analysis Feature Extraction Method for the Task of Diagnosing Chronic Lymphocytic Leukemia Type B-CLL

Selected Aspects of Cooperation between Kindergarten Teachers and Institutions / Organizations – A Statement from the Research Conducted in Poland

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