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

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

9786202511834: Recognizing unstructured EMR: Recognizing the Electronic Medical Record Data from Unstructured Medical Data Using Visual Text Mining Techniques

Softcover

ISBN 10: 6202511834 ISBN 13: 9786202511834

Verlag: LAP LAMBERT Academic Publishing, 2020

Alle Exemplare dieser ISBN-Ausgabe

0 Gebraucht

6 Neu

Von EUR 61,90

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%.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag: LAP LAMBERT Academic Publishing
Erscheinungsdatum: 2020
Sprache: Englisch
ISBN 10: 6202511834
ISBN 13: 9786202511834
Einband: Tapa blanda
Anzahl der Seiten: 128
Kontakt zum Hersteller: Nicht verf�gbar
Verantwortliche Person: Nicht verf�gbar

Neu kaufen

Diesen Artikel anzeigen

EUR 61,90

W�hrung umrechnen

Gratis f�r den Versand innerhalb von/der Deutschland

Versandziele, Kosten & Dauer

In den Warenkorb

Suchergebnisse f�r Recognizing unstructured EMR: Recognizing the Electronic...

Foto des Verk�ufers

Recognizing unstructured EMR

Fahad Al Sheref

Verlag: LAP LAMBERT Academic Publishing M�r 2020, 2020

ISBN 10: 6202511834 ISBN 13: 9786202511834

Neu Taschenbuch

Print-on-Demand

Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Taschenbuch. Zustand: 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, �berseering 33, 22297 Hamburg 128 pp. Englisch. Bestandsnummer des Verk�ufers 9786202511834

Verk�ufer kontaktieren

Neu kaufen

EUR 61,90

W�hrung umrechnen

Versand: Gratis

Innerhalb Deutschlands

Versandziele, Kosten & Dauer

Anzahl: 1 verf�gbar

In den Warenkorb

Foto des Verk�ufers

Recognizing unstructured EMR

Fahad Al Sheref

Verlag: LAP LAMBERT Academic Publishing Mrz 2020, 2020

ISBN 10: 6202511834 ISBN 13: 9786202511834

Neu Taschenbuch

Print-on-Demand

Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Taschenbuch. Zustand: 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. Bestandsnummer des Verk�ufers 9786202511834

Verk�ufer kontaktieren

Neu kaufen

EUR 61,90

W�hrung umrechnen

Versand: Gratis

Innerhalb Deutschlands

Versandziele, Kosten & Dauer

Anzahl: 2 verf�gbar

In den Warenkorb

Foto des Verk�ufers

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

Fahad Al Sheref

Verlag: LAP LAMBERT Academic Publishing, 2020

ISBN 10: 6202511834 ISBN 13: 9786202511834

Neu Taschenbuch

Print-on-Demand

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Taschenbuch. Zustand: 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%. Bestandsnummer des Verk�ufers 9786202511834

Verk�ufer kontaktieren