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Christos N. Schizas
University of Cyprus
128Publications
17H-index
1,307Citations
Publications 128
Newest
Jan 1, 2019 in APPIS (Applications Intelligent Systems)
#1Constantinos Loizou (UCY: University of Cyprus)
#2Dimka Karastoyanova (UG: University of Groningen)H-Index: 22
Last.Christos N. Schizas (UCY: University of Cyprus)H-Index: 17
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#1Andreas Neocleous (UCY: University of Cyprus)H-Index: 2
#2Argyro Syngelaki (University of Cambridge)H-Index: 40
Last.Christos N. Schizas (UCY: University of Cyprus)H-Index: 17
view all 4 authors...
Objective To estimate the risk for fetal trisomy 21 (T21) and other chromosomal abnormalities at 11-13 week's gestation using computational intelligence classification methods. Methods As a first step, we train the artificial neural networks with 72054 euploid pregnancies, 295 cases of T21 and 305 of other chromosomal abnormalities (OCA). Then, we sort the cases into two categories of “no-risk” and “risk”. The cases of “no-risk” are no further examined, while the cases with “risk” are forwarded ...
#1Andreas Neocleous (UG: University of Groningen)H-Index: 2
#2K. H. Ntcolatdes (University of Cambridge)H-Index: 130
Last.Christos N. Schizas (UCY: University of Cyprus)H-Index: 17
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The objective of this paper is to introduce a noninvasive diagnosis procedure for aneuploidy and to minimize the social and financial cost of prenatal diagnosis tests that are performed for fetal aneuploidies in an early stage of pregnancy. We propose a method by using artificial neural networks trained with data from singleton pregnancy cases, while undergoing first trimester screening. Three different datasets 1 with a total of 122 362 euploid and 967 aneuploid cases were used in this study. T...
May 1, 2017 in IJCNN (International Joint Conference on Neural Network)
#1Andreas Neocleous (UG: University of Groningen)H-Index: 2
#2Costas Neocleous (UCY: University of Cyprus)H-Index: 5
Last.Nicolai Petkov (UG: University of Groningen)H-Index: 25
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In this work we explore the relevance of markers that are used for the early detection of fetal chromosomal abnormalities. For medical applications, it is important to optimize the number of used markers with respect to the number of necessary clinical examinations. We use the Generalized Matrix Learning Vector Quantization (GMLVQ) method to identify the most relevant markers from a set of 18 clinical examinations. We cross-validated our results using ten different training and test sets and we ...
#1Athos AntoniadesH-Index: 6
#2Constantinos S. Pattichis (UCY: University of Cyprus)H-Index: 34
Last.Panagiotis D. Bamidis (A.U.Th.: Aristotle University of Thessaloniki)H-Index: 27
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Sep 1, 2016 in BSN (Wearable and Implantable Body Sensor Networks)
#1Andreas NeocleousH-Index: 2
#2K. H. Ntcolatdes ('KCL': King's College London)H-Index: 130
Last.Christos N. Schizas (UCY: University of Cyprus)H-Index: 17
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The objective of this study is to examine the potential value of using machine learning techniques such as artificial neural network (ANN) schemes for the noninvasive estimation, at 11-13 weeks of gestation, the risk for euploidy, trisomy 21 (T21), and other chromosomal aneuploidies (O.C.A.), from suitable sonographic, biochemical markers, and other relevant data. A database(1) consisted of 51,208 singleton pregnancy cases, while undergoing first trimester screening for aneuploidies has been use...
#1Savvas Karatsiolis (UCY: University of Cyprus)H-Index: 1
#2Christos N. Schizas (UCY: University of Cyprus)H-Index: 17
An original classification algorithm is proposed for dealing with extremely imbalanced datasets that often appear in biomedical problems. Its originality comes from the way a neural network is trained in order to get a decent hypothesis out of a dataset that comprises of a huge sized majority class and a tiny size minority class. This situation is especially probable when forming machine learning databases describing rare medical conditions. The algorithm is tested on a large dataset in order to...
#1Andreas NeocleousH-Index: 2
#2Costas Neocleous (CUT: Cyprus University of Technology)H-Index: 5
Last.Christos N. Schizas (UCY: University of Cyprus)H-Index: 17
view all 5 authors...
The early detection of fetal chromosomal abnormalities such as aneuploidies, has been an important subject in medicine over the last thirty years. A pregnant woman is advised by the doctor to perform an amniocentesis test, after the identification of increased risk for fetal aneuploidy. Even though the amniocentesis test is almost perfectly accurate, it has several drawbacks. It is an invasive test with around 1% risk for miscarriage; it is financially expensive and requires laboratories and spe...
#1Maria Papaioannou (UCY: University of Cyprus)H-Index: 2
#2Costas Neocleous (UCY: University of Cyprus)H-Index: 5
Last.Christos N. Schizas (UCY: University of Cyprus)H-Index: 17
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A fuzzy Diagnostic Decision Support System (DDSS) has been developed, exploiting the possibilities of a specific algorithm which transforms a crisp dataset into fuzzy. The purpose of the developed fuzzy DDSS is the diagnosis of fetuses with Trisomy 21 (T21). The main reason behind the selection of this diagnosis problem is the need of sonographers to escape the preconditions of having specialized screening systems and being highly precise during prenatal screening tests. With the help of an inte...
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