Name: Recognizing Unstructured Emr: Recognizing the Electronic Medical Record Data From Unstructured Medical Data Using Visual Text Mining Techniques (en Inglés)
Price: 286.92 PEN
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 (en Inglés)

Formato

Libro Físico

Editorial

Lap Lambert Academic Publishing

Autor

Fahad Al Sheref; Sayed Abdulgaber; Hussien Bushnaq

Año

2020

Idioma

Inglés

N° páginas

128

Encuadernación

Tapa Blanda

ISBN13

9786202511834

Categorías

Tecnología de la información: cuestiones generales

Recognizing Unstructured Emr: Recognizing the Electronic Medical Record Data From Unstructured Medical Data Using Visual Text Mining Techniques (en Inglés)

Fahad Al Sheref; Sayed Abdulgaber; Hussien Bushnaq (Autor) · Lap Lambert Academic Publishing · Tapa Blanda

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S/ 573,85

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Reseña del libro "Recognizing Unstructured Emr: Recognizing the Electronic Medical Record Data From Unstructured Medical Data Using Visual Text Mining Techniques (en Inglés)"

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%.