Integrating Oral and General Health Epidemiology Through Data Science and AI : EpiDentomics

Language: English

Published by IGI GLOBAL SCIENTIFIC PUBLISHING, 2026

9798337384030

  • Softcover
  • New
See all details

Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

5-star seller

AbeBooks seller since August 14, 2006

Softcover

Condition: New

£ 239.11

£ 29.26 shipping 
Ships from Germany to U.S.A.

Quantity: 2 available

Add to basket
Free 30-day returns

Item description from seller

nach der Bestellung gedruckt Neuware - Printed after ordering - Oral health is often separated from systemic health in both epidemiological research and healthcare delivery, despite growing evidence linking oral conditions such as periodontitis, dental caries, and oral infections with cardiovascular, metabolic, and inflammatory diseases. As healthcare systems increasingly recognize the interconnected nature of human health, there is rising interest in approaches that integrate oral and systemic health research within broader public health and clinical frameworks. The emergence of AI, big data analytics, and digital epidemiology creates new opportunities to better understand complex health relationships through large-scale data analysis, predictive modeling, and intelligent healthcare systems. These technologies identify patterns, improve early detection, and support more personalized and preventive approaches to care. Together, these developments reshape how oral and systemic health are studied, monitored, and addressed within modern healthcare and epidemiological research. Integrating Oral and General Health Epidemiology Through Data Science and AI: EpiDentomics introduces an integrative paradigm that redefines the scope of modern epidemiology by combining the analytical rigor of data science with the contextual insights of population health. Through real-world data, AI-driven predictive models, and global burden analyses, this book reveals how oral-systemic interrelationships can guide personalized prevention, risk stratification, and precision public health strategies. Covering topics such as endodontic and restorative diseases, image-based diagnostics, and predictive modeling of oral health behaviors, this book is an indispensable academic resource for graduate and doctoral students, dental researchers, oral medicine specialists, clinical dentists, data scientists, biostatisticians, health informatics specialists, biomedical engineers, policymakers, and more.…

Seller Inventory # 9798337384030

Title
Integrating Oral and General Health Epidemiology Through Data Science and AI : EpiDentomics
Author
Muhammad Farooq Umer
Publisher
IGI GLOBAL SCIENTIFIC PUBLISHING
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 13
9798337384030
Item weight
927 grams
Dimensions
254x178x27 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First item£ 29.26£ 37.61
Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.

Payment methods

  • Visa
  • Mastercard
  • American Express
  • Apple Pay
  • Google Pay
  • Bank Wire Transfer
  • Check
  • Paypal

Store description

Das Unternehmen AHA-BUCH GmbH: Seit der Gründung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisgünstig wie möglich ihren Bücherwunsch zu erfüllen. Unsere Firma beschäftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine Wünsche! Auf über 3700 m2 Fläche haben wir über 100.000 Bücher, Modernes Antiquariat und Spiele auf Lager.

Specialty

Kinderbücher & Kinderhör Casetten, German Books, Software, Natur & Tiere, Ratgeber, Sachbücher, Englische Bücher, Medizin & Gesundheit, Universität & Studium

Seller's business information

AHA-BUCH GmbH

Garlebsen 48
Einbeck, Germany 37574