0000000000240928

AUTHOR

Henrihs Gorskis

showing 2 related works from this author

Lack of significant differences between gastrointestinal tract microbial population structure of Helicobacter pylori-infected subjects before and 2 y…

2020

Background According to recent estimates 80% of Latvian population is infected with Helicobacter pylori thus their susceptibility to numerous gastric tract diseases is increased. The 1st line H. pylori eradication therapy includes treatment with clarithromycin in combination with amoxicillin or metronidazole and a proton pump inhibitor. However, potential adverse events caused by such therapies to microbiome are insufficiently studied. Objective This study aimed to evaluate the long-term effect of H. pylori eradication on human gastrointestinal tract (GIT) microbiome. Methods The assessment of H pylori eradication impact on GIT microbiome was done by analyzing 120 samples acquired from 60 s…

AdultMalemedicine.medical_specialtyPopulationGastroenterologyHelicobacter Infections03 medical and health sciences0302 clinical medicineInternal medicineClarithromycinClarithromycinMetronidazolemedicineHumansMicrobiomeeducationeducation.field_of_studybiologybusiness.industryGastroenterologyAmoxicillinProton Pump InhibitorsGeneral MedicineHelicobacter pyloriAmoxicillinMiddle Agedbiology.organism_classificationLatviaAnti-Bacterial AgentsGastrointestinal MicrobiomeMetronidazoleInfectious Diseases030220 oncology & carcinogenesis030211 gastroenterology & hepatologyEnterotypeDrug Therapy CombinationFemaleSample collectionbusinessmedicine.drugHelicobacterREFERENCES
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Entropy-Based Classifier Enhancement to Handle Imbalanced Class Problem

2017

The paper presents a possible enhancement of entropy-based classifiers to handle problems, caused by the class imbalance in the original dataset. The proposed method was tested on synthetic data in order to analyse its robustness in the controlled environment with different class proportions. As also the proposed method was tested on the real medical data with imbalanced classes and compared to the original classification algorithm results. The medical field was chosen for testing due to frequent situations with uneven class ratios.

Computer scienceEntropy (statistical thermodynamics)business.industryDecision treePattern recognition02 engineering and technologycomputer.software_genre01 natural sciencesSynthetic data010305 fluids & plasmasEntropy (classical thermodynamics)0103 physical sciences0202 electrical engineering electronic engineering information engineeringGeneral Earth and Planetary SciencesEntropy (information theory)020201 artificial intelligence & image processingArtificial intelligenceData miningEntropy (energy dispersal)businessEntropy (arrow of time)computerGeneral Environmental ScienceEntropy (order and disorder)Procedia Computer Science
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