Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems
- Publisher's listprice GBP 44.99
-
22 769 Ft (21 685 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 2 277 Ft off)
- Discounted price 20 492 Ft (19 517 Ft + 5% VAT)
22 769 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 30 January 2025
- ISBN 9781032366456
- Binding Paperback
- No. of pages324 pages
- Size 254x178 mm
- Weight 598 g
- Language English
- Illustrations 175 Illustrations, black & white; 175 Halftones, black & white; 33 Tables, black & white 683
Categories
Short description:
This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advance techniques like wearable technologies, image processing in the sector. It focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects.
MoreLong description:
This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector.
Features:
- Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects
- Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc
- Discusses an artificial intelligence perspective on wearable technology
- Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG)
- Elaborates machine learning models for early diagnosis of depressive mental affliction
This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.
MoreTable of Contents:
1. Artificial Intelligence (AI) in Healthcare: Issues, Applications and Future. 2 Artificial Intelligence in Medical Imaging for Developing Countries: Challenges and Opportunities. 3. Artificial Intelligence in Medical Imaging. 4. Medical Image Fusion: Transforms Techniques Based Comparative Analysis for Brain Disease. 5. Artificial intelligence and medical visualization. 6. Machine Learning Models for Early Diagnosis of Depressive Mental Affliction. 7. Non-Invasive Technique of Breast Cancer Diagnosis Using Interpretation of Fractal Dimension of Cells Nuclei in Buccal Epithelium. 8. Fractionalization of Early Lung Tumour Regions and Detection Using a Low Intricacy Approach. 9. Reshaping the Pathology: An AI Perspective. 10. Influence of community mobility habits on the COVID-19 pandemic: A case study on India. 11. Impact of Social Media Platforms on Vaccination Drive during COVID-19 Pandemic in India. 12. Pneumonia Detection using Chest X-Ray with the help of Deep Learning. 13. AI Technique from Type CN2 Rule Induction for Industry 4.0 with Healthcare Problem. 14. Artificial Intelligence Issues in Healthcare. 15. Wearable Technologies in AI and Smart HealthCare. 16. A Heterogeneous Medical Imaging Social Security Analysis in Wireless Sensor Network. 17. Wearable Technology: Concepts, Classification and Applications. 18. Analysis Of Cardiac Dynamics And Assessment Of Arrhythmia By Classifying Heartbeat Using Electrocardiogram
More
