Nicht aus der Schweiz? Besuchen Sie lehmanns.de

Ontology-Based Information Retrieval for Healthcare Systems (eBook)

eBook Download: EPUB
2020 | 1. Auflage
384 Seiten
John Wiley & Sons (Verlag)
978-1-119-64138-4 (ISBN)

Lese- und Medienproben

Ontology-Based Information Retrieval for Healthcare Systems -
Systemvoraussetzungen
197,99 inkl. MwSt
(CHF 189,95)
Der eBook-Verkauf erfolgt durch die Lehmanns Media GmbH (Berlin) zum Preis in Euro inkl. MwSt.
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in various domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time span. This requirement demands effective ontology-based information retrieval approaches for clinical information systems so that the pertinent information can be mined from large amount of distributed data.

This unique and groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the following areas:

* Semantic data integration in e-health care systems

* Keyword-based medical information retrieval

* Ontology-based query retrieval support for e-health implementation

* Ontologies as a database management system technology for medical information retrieval

* Information integration using contextual knowledge and ontology merging

* Collaborative ontology-based information indexing and retrieval in health informatics

* An ontology-based text mining framework for vulnerability assessment in health and social care

* An ontology-based multi-agent system for matchmaking patient healthcare monitoring

* A multi-agent system for querying heterogeneous data sources with ontologies for reducing cost of customized healthcare systems

* A methodology for ontology based multi agent systems development

* Ontology based systems for clinical systems: validity, ethics and regulation

Vishal Jain is an associate professor at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi, India. He has more than 350 research citation indices with Google Scholar (h-index score 9 and i-10 index 9). He has authored more than 70 research papers in reputed conferences and journals indexed by Web of Science and Scopus, as well as authored and edited more than 10 books with various international publishers. His research areas include information retrieval, semantic web, ontology engineering, data mining, adhoc networks, and sensor networks. Ritika Wason is currently working as an associate professor at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi. She completed her PhD degree in Computer Science from Sharda University. She has more than 10 years of teaching experience and has authored as well as edited several books in computer science and has been a recipient of many awards and honors. Jyotir Moy Chatterjee is currently an assistant professor in the IT department at Lord Buddha Education Foundation (Asia Pacific University of Technology & Innovation), Kathmandu, Nepal. He has completed M. Tech from Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha and B. Tech in Computer Science & Engineering from Dr. MGR Educational & Research Institute, Chennai. His research interests include the cloud computing, big data, privacy preservation, data mining, Internet of Things, machine learning. Dac-Nhuong Le, PhD is the Head-Deputy of Faculty of Information Technology, Haiphong University, Vietnam. He has a total academic teaching experience of 10 years with many publications in reputed international conferences, journals and online book chapter contributions. He researches interests span the optimization and algorithmic mathematics underpinnings of network communication, security and vulnerability, network performance analysis, and cloud computing.

Erscheint lt. Verlag 29.7.2020
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Office Programme Outlook
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Medizin / Pharmazie Gesundheitswesen
Schlagworte Artificial Intelligence • Computer Science • Data Mining & Knowledge Discovery • Data Mining u. Knowledge Discovery • Informatik • Informationstechnologie • Information Technologies • Künstliche Intelligenz
ISBN-10 1-119-64138-1 / 1119641381
ISBN-13 978-1-119-64138-4 / 9781119641384
Haben Sie eine Frage zum Produkt?
EPUBEPUB (Adobe DRM)
Größe: 7,2 MB

Kopierschutz: Adobe-DRM
Adobe-DRM ist ein Kopierschutz, der das eBook vor Mißbrauch schützen soll. Dabei wird das eBook bereits beim Download auf Ihre persönliche Adobe-ID autorisiert. Lesen können Sie das eBook dann nur auf den Geräten, welche ebenfalls auf Ihre Adobe-ID registriert sind.
Details zum Adobe-DRM

Dateiformat: EPUB (Electronic Publication)
EPUB ist ein offener Standard für eBooks und eignet sich besonders zur Darstellung von Belle­tristik und Sach­büchern. Der Fließ­text wird dynamisch an die Display- und Schrift­größe ange­passt. Auch für mobile Lese­geräte ist EPUB daher gut geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen eine Adobe-ID und die Software Adobe Digital Editions (kostenlos). Von der Benutzung der OverDrive Media Console raten wir Ihnen ab. Erfahrungsgemäß treten hier gehäuft Probleme mit dem Adobe DRM auf.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen eine Adobe-ID sowie eine kostenlose App.
Geräteliste und zusätzliche Hinweise

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich