Recognizing unstructured EMR: Recognizing the Electronic Medical Record Data from Unstructured Medical Data Using Visual Text Mining Techniques - Brossura

Al Sheref, Fahad; Abdulgaber, Sayed; Bushnaq, Hussien

Brossura

ISBN 10: 6202511834 ISBN 13: 9786202511834

Casa editrice: LAP LAMBERT Academic Publishing, 2020

Riassunto

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%.

Dettagli dell?edizione

• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 6202511834
• ISBN 13: 9786202511834
• Rilegatura: Copertina flessibile
• Numero di pagine: 128
• Contatto del produttore: non disponibile
• Persona responsabile: KreGa Onlinehandel GmbH; 4950000000000; info@krega-onlinehandel.de; ; Birkenweg 31; Brakel; 33034; Germania