Name: Recognizing Unstructured Emr: Recognizing the Electronic Medical Record Data From Unstructured Medical Data Using Visual Text Mining Techniques
SKU: 52688951
Price: 66.87 EUR
Availability: InStock
Author: Fahad Al Sheref; Sayed Abdulgaber; Hussien Bushnaq
ISBN: 9786202511834

portada Recognizing Unstructured Emr: Recognizing the Electronic Medical Record Data From Unstructured Medical Data Using Visual Text Mining Techniques

Recognizing Unstructured Emr: Recognizing the Electronic Medical Record Data From Unstructured Medical Data Using Visual Text Mining Techniques

Type

Physical Book

Publisher

Lap Lambert Academic Publishing

Author

Fahad Al Sheref; Sayed Abdulgaber; Hussien Bushnaq

Year

2020

Language

English

Pages

128

Format

Paperback

ISBN13

9786202511834

Synopsis "Recognizing Unstructured Emr: Recognizing the Electronic Medical Record Data From Unstructured Medical Data Using Visual Text Mining Techniques "

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: Recognizing the Electronic Medical Record Data From Unstructured Medical Data Using Visual Text Mining Techniques - Fahad Al Sheref; Sayed Abdulgaber; Hussien Bushnaq

Synopsis "Recognizing Unstructured Emr: Recognizing the Electronic Medical Record Data From Unstructured Medical Data Using Visual Text Mining Techniques "

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