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Medical diagnosis support system based on the ensemble of single-parameter classifiers

100%

Orczyk T. , Porwik P. , Bernaś M.

Journal of Medical Informatics & Technologies

2014

tom Vol. 23

173--179

This paper presents a medical diagnosis support system based on an ensemble of single parameter k–NN classifiers [1]. System was verified on a database containing real blood test results of diagnosed patients with a liver fibrosis. This dataset contains problems typical to a real medical data – especially missing values. Paper also describes the process of selecting a subset of parameters used for further evaluation (feature selection/elimination algorithm). Complete database contains many parameters, but not all are important for diagnosis, thus eliminating them is an important step. A comparison of proposed method of classification and feature selection with methods known from literature has also been presented.

Metody obliczeniowe w genetyce

84%

Oleńska E. , Stankiewicz A.

Edukacja Biologiczna i Środowiskowa

2013

nr 2

44-50

This work, dedicated to biology teachers of high and secondary schools, presents the basic mathematic calculation rules applied in solving the solutions of genetic exercises which are the common evaluation measure of students’ knowledge and skills. The knowledge according to addition and multiplication rules, permutation formula and combination rule is applied in calculating of addition, multiplication and binomial probabilities, the calculating of which is crucial in determining the chances of production of specific gametes or genotypes which often is difficult for students. Moreover, present work includes proposal exercise based on presented in work mathematic ruler with the answers attached.