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Different decision tree induction strategies for a medical decision problem

100%

Burduk R., Wozniak M.

Open Medicine

2012

vol. 7

issue 2

183-193

The paper presents a comparative study of selected recognition methods for the medical decision problem -acute abdominal pain diagnosis. We consider if it is worth using expert knowledge and learning set at the same time. The article shows two groups of decision tree approaches to the problem under consideration. The first does not use expert knowledge and generates classifier only on the basis of learning set. The second approach utilizes expert knowledge for specifying the decision tree structure and learning set for determining mode of decision making in each node based on Bayes decision theory. All classifiers are evaluated on the basis of computer experiments.

Determination of free and bounded phenolic acids in the rhizomes and herb of Sanguisorba officinalis L.

81%

Biernasiuk A., Wozniak M., Bogucka-Kocka A.

Current Issues in Pharmacy and Medical Sciences

2015

vol. 28

issue 4

254-256

An analysis of the fractions of free acids and phenolic acids liberated by way of hydrolysis in the rhizomes and herbaceous tissues of Sanguisorba officinalis L. was conducted through utilizing the 2D-TLC method. Fifteen phenolic acids were identified. Our work showed that ellagic, protocatechuic, gentisic, p-hydroxybenzoic, syringic, vannilic and ferulic acids were common in all tested fractions, and gallic and protocatechuic acids were dominant in fractions obtained from the rhizomes, while caffeic, p-coumaric, syringic, vannilic and ferulic acids were abundant in the herbaceous tissues. However, α and β - resorcylic acids were detected only in rhizome phenolic acid fractions liberated from their conjunction with sugars and alcohols. Furthermore, chlorogenic acid was present only in a free form in the herbaceous tissues, while p-hydroxyphenylacetic acid was liberated from conjunction from a herbaceous extract.

Dynamics of estrogen-induced oxidative stress

42%

Kobiela J., Stefaniak T., Krajewski J., Kalinska-Blach B., Zurawa-Janicka D., Lachinski A., Gackowski D., Olinski R., Nowak J., Knap N., Lipinska B., Sledzinski Z., Wozniak M.

2007

vol. 54

issue 2

289-295

The objective of this study was to assess the dynamics of oxidative damage to cellular macromolecules such as proteins, lipids and DNA under conditions of oxidative stress triggering early stages of estrogen-dependent carcinogenesis. A rodent model of carcinogenesis was used. Syrian hamsters were sacrificed after 1, 3, 5 h and one month from the initial implantation of estradiol. Matching control groups were used. Kidneys as target organs for estradiol-mediated oxidative stress were excised and homogenized for biochemical assays. Subcellular fractions were isolated. Carbonyl groups (as a marker of protein oxidation) and lipid hydroxyperoxides were assessed. DNA was isolated and 8-oxodGuo was assessed. Electron paramagnetic resonance spectroscopy was used to confirm the results for lipid peroxidation. Exposition to estradiol in the rodent model leads to damage of macromolecules of the cell, including proteins and DNA, but not lipids. Proteins appear to be the primary target of the damage but are closely followed by DNA. It has previously been speculated that protein peroxides can increase DNA modifications. This time sequence was observed in our study. Nevertheless, the direct relation between protein and DNA damage still remains unsolved.

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1 Acta Biochimica Polonica

1 Current Issues in Pharmacy and Medical Sciences

1 Open Medicine

1 2015

1 2012

1 2007

3 Wozniak M.

1 Biernasiuk A.

1 Bogucka-Kocka A.

1 Burduk R.

1 Gackowski D.

1 Kalinska-Blach B.

1 Knap N.

1 Kobiela J.

1 Krajewski J.

1 Lachinski A.

1 Lipinska B.

1 Nowak J.

1 Olinski R.

1 Sledzinski Z.

1 Stefaniak T.

1 Zurawa-Janicka D.

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Different decision tree induction strategies for a medical decision problem

Determination of free and bounded phenolic acids in the rhizomes and herb of Sanguisorba officinalis L.

Dynamics of estrogen-induced oxidative stress