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Recognizing unstructured EMR: Recognizing the Electronic Medical Record Data from Unstructured Medical Data Using Visual Text Mining Techniques - Softcover
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Computer systems and communication technologies made a strong and influential presence in the different fields of medicine. The cornerstone of a functional medical information system is the Electronic Health Records (EHR) management system. EHR implementation and adoption face different barriers that slow down its deployment in different organizations. This research focuses on resolving the most public barriers, which are data entry, unstructured clinical data modifying the physician work flow. This research proposed a solution, which use Text mining and Natural language processing techniques. This solution tested and verified in four real-world clinical organizations. The suggested solution proved correcteness and perciseness with 91.88%.
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Recognizing unstructured EMR
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LAP LAMBERT Academic Publishing Mrz 2020, 2020
ISBN 10: 6202511834
ISBN 13: 9786202511834
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computer systems and communication technologies made a strong and influential presence in the different fields of medicine. The cornerstone of a functional medical information system is the Electronic Health Records (EHR) management system. EHR implementation and adoption face different barriers that slow down its deployment in different organizations. This research focuses on resolving the most public barriers, which are data entry, unstructured clinical data modifying the physician work flow. This research proposed a solution, which use Text mining and Natural language processing techniques. This solution tested and verified in four real-world clinical organizations. The suggested solution proved correcteness and perciseness with 91.88%. 128 pp. Englisch. Seller Inventory # 9786202511834
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Recognizing unstructured EMR: Recognizing the Electronic Medical Record Data from Unstructured Medical Data Using Visual Text Mining Techniques
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202511834
ISBN 13: 9786202511834
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Recognizing unstructured EMR: Recognizing the Electronic Medical Record Data from Unstructured Medical Data Using Visual Text Mining Techniques
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202511834
ISBN 13: 9786202511834
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Softcover
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Recognizing unstructured EMR: Recognizing the Electronic Medical Record Data from Unstructured Medical Data Using Visual Text Mining Techniques
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202511834
ISBN 13: 9786202511834
New
Softcover
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Recognizing unstructured EMR
Published by
LAP LAMBERT Academic Publishing Mär 2020, 2020
ISBN 10: 6202511834
ISBN 13: 9786202511834
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Taschenbuch
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Computer systems and communication technologies made a strong and influential presence in the different fields of medicine. The cornerstone of a functional medical information system is the Electronic Health Records (EHR) management system. EHR implementation and adoption face different barriers that slow down its deployment in different organizations. This research focuses on resolving the most public barriers, which are data entry, unstructured clinical data modifying the physician work flow. This research proposed a solution, which use Text mining and Natural language processing techniques. This solution tested and verified in four real-world clinical organizations. The suggested solution proved correcteness and perciseness with 91.88%.Books on Demand GmbH, Überseering 33, 22297 Hamburg 128 pp. Englisch. Seller Inventory # 9786202511834
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Recognizing unstructured EMR : Recognizing the Electronic Medical Record Data from Unstructured Medical Data Using Visual Text Mining Techniques
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202511834
ISBN 13: 9786202511834
New
Taschenbuch
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computer systems and communication technologies made a strong and influential presence in the different fields of medicine. The cornerstone of a functional medical information system is the Electronic Health Records (EHR) management system. EHR implementation and adoption face different barriers that slow down its deployment in different organizations. This research focuses on resolving the most public barriers, which are data entry, unstructured clinical data modifying the physician work flow. This research proposed a solution, which use Text mining and Natural language processing techniques. This solution tested and verified in four real-world clinical organizations. The suggested solution proved correcteness and perciseness with 91.88%. Seller Inventory # 9786202511834
Quantity: 1 available