ISBN13: | 9781032366456 |
ISBN10: | 1032366451 |
Kötéstípus: | Puhakötés |
Terjedelem: | 324 oldal |
Méret: | 254x178 mm |
Nyelv: | angol |
Illusztrációk: | 175 Illustrations, black & white; 175 Halftones, black & white; 33 Tables, black & white |
700 |
Villamosmérnöki tudományok, híradástechnika, műszeripar
A számítástudomány elmélete, a számítástechnika általában
Számítógép architektúrák, logikai tervezés
Szuperszámítógépek
Operációs rendszerek és grafikus felhasználói felületek
Szoftverfejlesztés
Adatbázis kezelő szoftverek
Villamosmérnöki tudományok, híradástechnika, műszeripar (karitatív célú kampány)
A számítástudomány elmélete, a számítástechnika általában (karitatív célú kampány)
Számítógép architektúrák, logikai tervezés (karitatív célú kampány)
Szuperszámítógépek (karitatív célú kampány)
Operációs rendszerek és grafikus felhasználói felületek (karitatív célú kampány)
Szoftverfejlesztés (karitatív célú kampány)
Adatbázis kezelő szoftverek (karitatív célú kampány)
Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems
GBP 44.99
Kattintson ide a feliratkozáshoz
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.
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.
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