· MCV + MCH was the best for overall screening, but for β thalassemia screening, MCV + MCH + HbA(2) was the best. MCV and MCH are suitable for epidemic screening in a large population,
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· Performance of classification methods using Machine Learning Techniques majority depends on the quality of data were used in learning. The transformation techniques are used to increase the efficiency of classification because each type of data is suitable for different classification techniques. This study is aimed at
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:Thalassemia Evaluation10.3390/diagnostics13223441Published:2023/11 · In recent years, many studies have been conducted to explore the application of new RBC indices and machine learning in the identification and typing of
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:Support Vector MachinePublish Year:2003 · Although genetic testing is necessary to confirm the diagnosis, hemoglobin electrophoresis can highlight shared traits across various thalassemia
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· We validated both the scores on two different data sets and found 100% sensitivity of both the scores with their respective threshold values. The results revealed the specificity of the screening
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We developed a one-dimensional ResNet (ResNet1D) in this work (Python 3.10, Pytorch 1.13.0). The chromatographic data of each band was the input for the ResNet1D model. The proposed ResNet1D model, as shown in Fig. 1, has a simple architecture consisting of five ResNet1D blocks which have one Convolution block and two Identity blocks, a pooling
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· BACKGROUND: Severe thalassemia is common in Southeast Asia (SEA) and can lead to transfusion dependent anemia, growth retardation, and perinatal death. Pre Julia Z. Xu, Meghan Foe, Wilaslak Tanongsaksakul, Thidarat Suksangpleng, Supachai Ekwattanakit, Suchada Riolueang, Marilyn J. Telen, Bonnie N. Kaiser, Vip
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· Background Transfusion Transmitted infections(TTI) are of significant concern for blood safety. The thalassemia patients who receive multiple transfusions are at an increased risk of TTIs and the Nucleic Acid Test (NAT ) has been advocated for safe blood. Though NAT can reduce the window period compared to serology, cost is a
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In addition, the data used was laboratory results of blood check obtained from Harapan Kita Children and Women's Hospital, Jakarta, Indonesia. Twin Support Vector Machines (TSVM) is used in this study as one of the machine learning developed techniques inspired by Support Vector Machines (SVM), as this technique purposed to find the nonparallel
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· The amount of HbBarts correlates with the severity of α-thalassemia, although not in all instances, and can be detected antepartum and at birth. 9, 10 Newborns with 2 α-gene deletions may have 3% to 6% HbBarts at birth, and a silent carrier missing only 1 α-gene may have 1% to 4% at birth. 11. β-Thalassemia newborn screening.
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:ThalassemiaSupport Vector Machine · PDF In this study a new classifier for discriminating thalassemia and non-thalassemia microcytic anemia was generated via combination of exciting indices with machine-learning
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· Common screening methods for thalassemia include a complete blood count (CBC) followed by quantification of haemoglobin A 2 (HbA 2 ) and haemoglobin F (HbF) levels as well identification of any
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· The rate of patients with alpha thalassemia is 10.73% (1,085 patients), the rate of patients with beta-thalassemia is 2.24% (227 patients), and 0.29% (29 patients) of patients carry both alpha
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· Furthermore, the ddPCR machine can detect a few fluorochrome dyes to label with specific probes. The multiplex ability application of the ddPCR technique is limited to a few β-mutations. Through this study, we propose the development of PIB and MIB tests utilizing four common β-globin gene mutations and constructing ddPCR assay sets for
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:Blood TestsThalassemia EvaluationThalassaemia Screening · Currently, more than forty discrimination formulae based on red blood cell (RBC) parameters and some supervised machine learning algorithms (MLAs) have been
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· Other studies have shown that there are tools used in the peripheral setting for screening thalassemia patients that are associated with quite specific and sensitive applications. (Jahan et al
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· Carrier screening for Beta-thalassaemia: a review. of international practice. Nicole E Cousens 1,2, Clara L Gaff1,2, Sylvia A Metcalfe1,2 and Martin B Delatycki*,1,2,3. b -thalassaemia is one of
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Abstract. Programs of prospective carrier screening and genetic counseling for beta-thalassemia among couples planning marriage, preconception, or during early pregnancy are ongoing in several at-risk populations in the Mediterranean area, including Greeks, Greek Cypriots and Continental Italians. Carrier detection is carried out by
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· We validated both the scores on two different data sets and found 100% sensitivity of both the scores with their respective threshold values. The results revealed the specificity of the screening scores to be 79.25% and 91.74% for BTT and 58.62% and 78.03% for the joint score of HbE and BTT, respectively.
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· Performance Analysis of Machine Learning Algorithms and Screening Formulae for β –Thalassemia Trait Screening of Indian Antenatal Women September 2022 International Journal of Medical
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In addition to the previous terminology of "thalassemia major" or "thalassemia intermedia," this classification has embraced all other forms of thalassemia syndromes such as α-thalassemia, hemoglobin E/β-thalassemia and combined α- and β-thalassemias. Definitive diagnosis of thalassemia and hemoglobinopathies requires a comprehensive
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· Antenatal screening for beta thalassemia trait (BTT) followed by counseling of couples is an efficient way of thalassemia control. Since high performance liquid chromatography (HPLC) is costly, other cost-effective screening methods need to be devised for this purpose. The present study was aimed at evaluating the utility of red cell
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· The rate of patients with Alpha thalassemia is 10.73% (1085 patients), the rate of patients with beta-thalassemia is 2.24% (227 patients), and 0.29% (29 patients) of patients carry both alpha
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· Results A clinical decision support system was built, including 2 different types of systems for prenatal screening for thalassemia (an expert system and 4 AI-based CDSS). One thousand nine hundred ninety-two cases
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· In a thalassemia screening program, a heterogeneous set of samples containing various types of hemoglobinopathies is expected. Therefore, creating a distinction between IDA and BTT, which is the main focus in the existing literature, may not fully serve the cost and resource-saving objective for any government or private organization,
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Indian Red Cross Society 1, Red Cross Road New Delhi-110001 INDIA Tel: (+91-11) 23716441/2/3 Fax: (+91-11) 23717454,23717063 Email: [email protected] For technician on duty at IRCS Blood Centre, NHQ call 011-23711551, 23359338
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· Among the various indices evaluated in the present study, Shine and Lal index could identify almost all cases of beta thalassemia carriers (98.3% sensitivity) whereas all the other indices could not be relied on in the identification of all the cases. Background: Thalassemias are an important cause of morbidity and mortality worldwide.
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· The blood counts of α thalassemia carriers (α-thal) are similar to those of β thalassemia carriers, except for Hemoglobin A2 (Hb A2), which is not elevated. The objective of this study was to determine whether mathematical formulas are effective for detecting suspected α-thal. The data were obtained from the database of the prevention
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· In addition to carrier screening, prenatal detection of thalassemia is possible through non-invasive prenatal testing (NIPT), a simple and painless procedure that tests the fetus’s DNA through a maternal blood sample, and compares it to the maternal and paternal DNA to check for the genetic status. Nowadays, NIPT is routinely used for
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· Semantic Scholar extracted view of "A comparative study of K-Nearest Neighbour, Support Vector Machine and Multi-Layer Perceptron for Thalassemia screening" by S. Amendolia et al. DOI: 10.1016/S0169-7439(03)00094-7 Corpus ID: 123369138 A comparative
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