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portada Recognizing Unstructured Emr: Recognizing the Electronic Medical Record Data From Unstructured Medical Data Using Visual Text Mining Techniques (in English)
Type
Physical Book
Year
2020
Language
English
Pages
128
Format
Paperback
ISBN13
9786202511834

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

Fahad Al Sheref; Sayed Abdulgaber; Hussien Bushnaq (Author) · Lap Lambert Academic Publishing · Paperback

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

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

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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The book is written in English.
The binding of this edition is Paperback.

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