New Arrivals/Restock

Artificial Intelligence for Healthcare Applications and Management

flash sale iconLimited Time Sale
Until the end
17
47
39

US$62.77 cheaper than the new price!!

Free shipping for purchases over $99 ( Details )
Free cash-on-delivery fees for purchases over $99
Please note that the sales price and tax displayed may differ between online and in-store. Also, the product may be out of stock in-store.
Used  US$41.85
quantity

Product details

Management number 233646148 Release Date 2026/06/27 List Price US$41.85 Model Number 233646148
Category

Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms across healthcare management. Instead of discussing AI first and then exploring its applications in healthcare afterward, the authors attack the problems in context directly, in order to accelerate the path of an interested reader toward building industrial-strength healthcare applications. Readers will be introduced to a wide spectrum of AI applications supporting all stages of patient flow in a healthcare facility. The authors explain how AI supports patients throughout a healthcare facility, including diagnosis and treatment recommendations needed to get patients from the point of admission to the point of discharge while maintaining quality, patient safety, and patient/provider satisfaction.AI methods are expected to decrease the burden on physicians, improve the quality of patient care, and decrease overall treatment costs. Current conditions affected by COVID-19 pose new challenges for healthcare management and learning how to apply AI will be important for a broad spectrum of students and mature professionals working in medical informatics. This book focuses on predictive analytics, health text processing, data aggregation, management of patients, and other fields which have all turned out to be bottlenecks for the efficient management of coronavirus patients.- Presents an in-depth exploration of how AI algorithms embedded in scheduling, prediction, automated support, personalization, and diagnostics can improve the efficiency of patient treatment- Investigates explainable AI, including explainable decision support and machine learning, from limited data to back-up clinical decisions, and data analysis- Offers hands-on skills to computer science and medical informatics students to aid them in designing intelligent systems for healthcare- Informs a broad, multidisciplinary audience about a multitude of applications of machine learning and linguistics across various healthcare fields- Introduces medical discourse analysis for a high-level representation of health texts Read more


Correction of product information

If you notice any omissions or errors in the product information on this page, please use the correction request form below.

Correction Request Form

Product Review

You must be logged in to post a review