IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications
-
- Taschenbuch
- eBook ausgewählt
-
Form:Einzelkauf Download
-
Sprache:Englisch
109,00 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
07.11.2020
Herausgeber
Sanjay Kumar Singh + weitereVerlag
Elsevier Science & Techn.Seitenzahl
340 (Printausgabe)
Dateigröße
56840 KB
Sprache
Englisch
EAN
9780128214763
IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization.
The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand.
- Provides state-of-art methods and current trends in data analytics for the healthcare industry
- Addresses the top concerns in the healthcare industry using IoT and data analytics, and machine learning and deep learning techniques
- Discusses several potential AI techniques developed using IoT for the healthcare industry
- Explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages
The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand.
- Provides state-of-art methods and current trends in data analytics for the healthcare industry
- Addresses the top concerns in the healthcare industry using IoT and data analytics, and machine learning and deep learning techniques
- Discusses several potential AI techniques developed using IoT for the healthcare industry
- Explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für Ihr Feedback
Wir nutzen Ihr Feedback, um unsere Produktseiten zu verbessern. Bitte haben Sie Verständnis, dass wir Ihnen keine Rückmeldung geben können. Falls Sie Kontakt mit uns aufnehmen möchten, können Sie sich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice