Die Merkliste ist leer.

Der Warenkorb ist leer.

Registrieren Passwort vergessen?

Kostenloser Versand möglich

Bitte warten - die Druckansicht der Seite wird vorbereitet.

Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Druckansicht verlassenErneut drucken

Information Discovery on Electronic Health Records

ISBN/GTIN

Information Discovery on Electronic Health Records

von

Hristidis, VagelisHrsg.

BuchGebunden

Verkaufsrang8449in

CHF146.00

E-BookCHF153.50

In den Warenkorb

Beschreibung

Exploiting the information found in electronic health records (EHRs) can facilitate better medical research and improve the quality of medical practice. Addressing the challenges of leveraging this information, this book explores the technology to unleash the data stored in EHRs.

Weitere Beschreibungen

Details

ISBN/GTIN978-1-4200-9038-3

ProduktartBuch

EinbandGebunden

VerlagTaylor and FrancisChapman and Hall/CRC

Erscheinungsdatum10.12.2009

Auflage1. A.

ReiheChapman & Hall/CRC Data Mining and Knowledge Discovery Series

SpracheEnglisch

MasseBreite 156 mm, Höhe 234 mm

Gewicht635 g

IllustrationenFarb., s/w. Abb.

Artikel-Nr.5032880

KatalogBuchzentrum

Datenquelle-Nr.23141553

Weitere Details

Reihe

Computational Methods of Feature Selection

Understanding Complex Datasets

Knowledge Discovery for Counterterrorism and Law Enforcement

Multimedia Data Mining

Constrained Clustering

Information Discovery on Electronic Health Records

Data Mining for Design and Marketing

Geographic Data Mining and Knowledge Discovery

The Top Ten Algorithms in Data Mining

Text Mining

Biological Data Mining

Statistical Data Mining Using SAS Applications

Knowledge Discovery from Data Streams

Handbook of Educational Data Mining

Mining Software Specifications

Spectral Feature Selection for Data Mining

Music Data Mining

Machine Learning and Knowledge Discovery for Engineering Systems Health Management

Advances in Machine Learning and Data Mining for Astronomy

Support Vector Machines

Contrast Data Mining

Data Clustering

RapidMiner

Computational Business Analytics

Computational Intelligent Data Analysis for Sustainable Development

Data Classification

Graph-Based Social Media Analysis

Event Mining

Accelerating Discovery

Healthcare Data Analytics

Text Mining and Visualization

Advances in Machine Learning and Data Mining for Astronomy

Data Mining with R

Data Science and Analytics with Python

Large-Scale Machine Learning in the Earth Sciences

Data Science and Analytics with Python

Social Networks with Rich Edge Semantics

Data Mining for Design and Marketing

Mining Software Specifications

Biological Data Mining

Autor

Hristidis, VagelisHrsg.

Vagelis Hristidis is an assistant professor in the School of Computing and Information Sciences at Florida International University in Miami.

Weitere Produkte von Hristidis, Vagelis

Hrsg.