Our systems are now restored following recent technical disruption, and we’re working hard to catch up on publishing. We apologise for the inconvenience caused. Find out more

0
0
Your bag ✕
  • Qty:
    You have reached the maximum limit for this item
      • + 1 more item in your bag
      Subtotal

      Your bag is empty.

      Checkout
      Item added to bagSorry, there was a problem getting your bag informationItem cannot be purchased with the existing contents of your bagItem unavailable online
      ✕

      was added to your bag.

      Please try again.

      Sorry, this item cannot be purchased in the same transaction as the existing items in your bag.

      Please complete the purchase of the items currently in your bag and then add this item in a separate transaction or visit Shopping Help.

      Sorry, this product is not currently available to buy online. Please visit Shopping Help.

      View bag and checkout
      Remove item
      ✕

      Are you sure you want to remove from your bag?

      Recommended product

      Popular links

      Popular links

      Artificial Intelligence for Healthcare

      All titles

      Artificial Intelligence for Healthcare

      Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World
      Sze-chuan Suen , University of Southern California
      David Scheinker , Stanford University, California
      Eva Enns , University of Minnesota
      May 2022
      Available
      Hardback
      9781108836739
      $89.99
      USD
      Hardback
      USD
      eBook
      Description

      Healthcare has recently seen numerous exciting applications of artificial intelligence, industrial engineering, and operations research. This book, designed to be accessible to a diverse audience, provides an overview of interdisciplinary research partnerships that leverage AI, IE, and OR to tackle societal and operational problems in healthcare. The topics are drawn from a wide variety of disciplines, ranging from optimizing the location of AEDs for cardiac arrests to data mining for facilitating patient flow through a hospital. These applications highlight how engineering has contributed to medical knowledge, health system operations, and behavioral health. Chapter authors include medical doctors, policy-makers, social scientists, and engineers. Each chapter begins with a summary of the health care problem and engineering method. In these examples, researchers in public health, medicine, and social science as well as engineers will find a path to start interdisciplinary collaborations in health applications of AI/IE/OR.

      • Summaries of health care problems and engineering methods at the start of every chapter help orient readers
      • Demonstrates the breadth of applications within healthcare to which artificial intelligence, OR and industrial engineering can contribute
      • Showcases timely and interesting projects

      Product details

      May 2022
      Hardback
      9781108836739
      350 pages
      235 × 157 × 17 mm
      0.437kg
      Available

      Often bought together

      Computational Approaches to the Network Science of Teams
      Computational Approaches to the Network Science of Teams

      : Hardback

      Often bought together

      This title is available for institutional purchase via Cambridge Core

      Learn more
      cambridge core banner

      Related Journals

      Also by this Author

      Browse by related subject

       
      ✕

      Sorry, this item cannot be purchased in the same transaction as the existing items in your cart.

      Please complete the purchase of the items currently in your cart and then add this item in a separate transaction or contact

      Customer Services

      What we do

      About us

      © 2025 Cambridge University Press & Assessment

      Healthcare has recently seen numerous exciting applications of artificial intelligence, industrial engineering, and operations research. This book, designed to be accessible to a diverse audience, provides an overview of interdisciplinary research partnerships that leverage AI, IE, and OR to tackle societal and operational problems in healthcare. The topics are drawn from a wide variety of disciplines, ranging from optimizing the location of AEDs for cardiac arrests to data mining for facilitating patient flow through a hospital. These applications highlight how engineering has contributed to medical knowledge, health system operations, and behavioral health. Chapter authors include medical doctors, policy-makers, social scientists, and engineers. Each chapter begins with a summary of the health care problem and engineering method. In these examples, researchers in public health, medicine, and social science as well as engineers will find a path to start interdisciplinary collaborations in health applications of AI/IE/OR.