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Automated Detection of Hematological Patterns Through Machine Learning: Using Feature Extraction And Artificial Neural Networks for Pattern Recognition - Couverture souple
Présentation de l'éditeur
The use of hematological analyzers has become routine in clinical practice, but the sheer volume of data produced by these devices often makes manual inspection of all the results an unwieldy task. For this reason, automated pattern analysis through the use of machine learning has been used in these types of situations, to save time and to provide invaluable aid to medical professionals in this area of diagnostic medicine. Toward this end, Artificial Neural Networks (ANNs) are often relied upon in the field of machine learning, because of their ability to distill representative feature components from large amounts of input data. This paper details an approach in which the scatterplots of cells that were produced by a hematological device were used as inputs. The data were separated into two classes, one containing clinically Normal samples, and the second containing abnormal samples that contained Variant Lymphocytes. Statistical features were extracted from these data using Principal Component Analysis (PCA) and then a Perceptron ANN was employed to differentiate between the two classes of data. The accuracy of pattern classification using this method was then discussed.
Biographie de l'auteur
B.S. in Electrical Engineering, Florida International University, Miami, Florida, 1999.M.S in Computer Engineering, Florida International University, Miami, Florida, 2003.Ph.D. in Electrical Engineering, Florida International University, Miami, Florida, 2011.Senior Software Engineer, Beckman Coulter Corporation, Miami, Florida, 2004-Present.
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- ÉditeurLAP LAMBERT Academic Publishing
- Date d'édition2014
- ISBN 10 3659333654
- ISBN 13 9783659333651
- ReliureBroché
- Langueanglais
- Nombre de pages128
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Automated Detection of Hematological Patterns Through Machine Learning
Edité par
LAP LAMBERT Academic Publishing Jul 2014, 2014
ISBN 10 : 3659333654
ISBN 13 : 9783659333651
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The use of hematological analyzers has become routine in clinical practice, but the sheer volume of data produced by these devices often makes manual inspection of all the results an unwieldy task. For this reason, automated pattern analysis through the use of machine learning has been used in these types of situations, to save time and to provide invaluable aid to medical professionals in this area of diagnostic medicine. Toward this end, Artificial Neural Networks (ANNs) are often relied upon in the field of machine learning, because of their ability to distill representative feature components from large amounts of input data. This paper details an approach in which the scatterplots of cells that were produced by a hematological device were used as inputs. The data were separated into two classes, one containing clinically Normal samples, and the second containing abnormal samples that contained Variant Lymphocytes. Statistical features were extracted from these data using Principal Component Analysis (PCA) and then a Perceptron ANN was employed to differentiate between the two classes of data. The accuracy of pattern classification using this method was then discussed. 128 pp. Englisch. N° de réf. du vendeur 9783659333651
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Automated Detection of Hematological Patterns Through Machine Learning
Edité par
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10 : 3659333654
ISBN 13 : 9783659333651
Neuf
Couverture souple
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. 128. N° de réf. du vendeur 26128412829
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Automated Detection of Hematological Patterns Through Machine Learning : Using Feature Extraction And Artificial Neural Networks for Pattern Recognition
Edité par
LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659333654
ISBN 13 : 9783659333651
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The use of hematological analyzers has become routine in clinical practice, but the sheer volume of data produced by these devices often makes manual inspection of all the results an unwieldy task. For this reason, automated pattern analysis through the use of machine learning has been used in these types of situations, to save time and to provide invaluable aid to medical professionals in this area of diagnostic medicine. Toward this end, Artificial Neural Networks (ANNs) are often relied upon in the field of machine learning, because of their ability to distill representative feature components from large amounts of input data. This paper details an approach in which the scatterplots of cells that were produced by a hematological device were used as inputs. The data were separated into two classes, one containing clinically Normal samples, and the second containing abnormal samples that contained Variant Lymphocytes. Statistical features were extracted from these data using Principal Component Analysis (PCA) and then a Perceptron ANN was employed to differentiate between the two classes of data. The accuracy of pattern classification using this method was then discussed. N° de réf. du vendeur 9783659333651
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Automated Detection of Hematological Patterns Through Machine Learning
Edité par
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10 : 3659333654
ISBN 13 : 9783659333651
Neuf
Couverture souple
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. Print on Demand pp. 128 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. N° de réf. du vendeur 131126082
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Image d'archives
Automated Detection of Hematological Patterns Through Machine Learning
Edité par
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10 : 3659333654
ISBN 13 : 9783659333651
Neuf
Couverture souple
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND pp. 128. N° de réf. du vendeur 18128412823
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Automated Detection of Hematological Patterns Through Machine Learning
Edité par
LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659333654
ISBN 13 : 9783659333651
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rossman MarkB.S. in Electrical Engineering, Florida International University, Miami, Florida, 1999.M.S in Computer Engineering, Florida International University, Miami, Florida, 2003.Ph.D. in Electrical Engineering, Florida Internati. N° de réf. du vendeur 5149234
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