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                <identifier>ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:6985</identifier>
                <datestamp>2019-05-29T10:06:38Z</datestamp>
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                    <dim:field mdschema="dc" element="title" lang="en">Determination of the Developmental Stage of Erythrocytes  In the Common Nase (Chondrostoma nasus)  Using Different Classification Methods</dim:field>
                    <dim:field mdschema="dc" element="date" qualifier="issued">2019</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/6985</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0003-1098-371X" confidence="-1">S. Spasić</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:27210" confidence="-1">S. Subotić</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:27211" confidence="-1">Ž. Višnjić-Jeftić</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:27212" confidence="-1">M. Lenhardt</dim:field>
                    <dim:field mdschema="dc" element="description" qualifier="abstract">Fish erythrocytes released from erythropoietic sites are immature. During circulation, they increase their own surface, while the cell body and nuclei begin to become more elliptical and less spherical during maturation. The relative abundance of different developmental stages represents an erythron profile which could be a more sensitive indicator of contamination than classic hematological indices. In this study, we analyzed blood smears of the Common Nase (Chondrostoma nasus) with the main goal to identify the determinants of the developmental stage of erythrocytes. Based on parameters developmental stages, erythrocytes are categorized into immature, intermediate or mature. In this investigation we have used four classification methods: the Two Step Cluster analysis, the K-Means Cluster analysis, and Neural Networks – Multilayer Perceptron and an Ordinal Regression Model. Our findings clearly justify that Multilayers Perceptron and OLR models are appropriate to classify the developmental stage of fish erythrocytes.</dim:field>
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                    <dim:field mdschema="dc" element="citation" qualifier="spage">414</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="epage">419</dim:field>
                    <dim:field mdschema="dc" element="source">Book of 14TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION AND INFORMATION PROCESSING (PRIP’2019), Minsk, Belarus</dim:field>
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