Machine Learning in Healthcare
Advances and Future Prospects
- Publisher's listprice GBP 150.00
-
71 662 Ft (68 250 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 20% (cc. 14 332 Ft off)
- Discounted price 57 330 Ft (54 600 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
71 662 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 Apple Academic Press
- Date of Publication 14 September 2025
- ISBN 9781779640000
- Binding Hardback
- No. of pages166 pages
- Size 234x156 mm
- Weight 470 g
- Language English
- Illustrations 2 Illustrations, black & white; 9 Illustrations, color; 1 Halftones, black & white; 1 Line drawings, black & white; 9 Line drawings, color 695
Categories
Short description:
Explores the complex relationship between data science and medical science, highlighting the significant impact of machine learning algorithms in multiple areas of healthcare. Discusses topics such as wearable devices and mental health management through the use of machine learning technology.
MoreLong description:
This new volume explores the integration of machine learning in healthcare, which has transformed technology for disease diagnosis, treatment, and management. The book shows the enormous possibilities made possible by computational technologies, ranging from analyzing electronic health information to predicting, detecting, and treating cancer, cardiovascular disease, thyroid disorders, and diabetes. The exploration extends beyond conventional domains, discussing topics such as wearable devices and mental health management through the use of machine learning technology.
"Bridge[s] the gap between data science and medical practice, focusing on disease detection, personalized therapy, and holistic patient care. The book's visionary curation underscores the transformative potential of machine intelligence in shaping the future of healthcare delivery."—From the Foreword by Dhruv Galgotia, CEOm Galgotias University, Greater Noida, India
MoreTable of Contents:
1. Machine Learning Algorithms in Disease Diagnosis and Management 2. Machine Learning-Based Diagnosis and Treatment of Cancer 3. Machine Learning-Based Detection and Management of Cardiovascular Diseases 4. Monitoring the Health Status of Thyroid Patients Using Machine Learning 5. Machine Learning-Based Wearable Devices for Healthcare Applications 6. Prediction of Diabetes Using Machine Learning 7. Mental Health Index Management Using Machine Learning 8. Machine Learning Approaches for Electronic Health Record Phenotyping
More
Spaces for Innovation: The Design and Science of Inspiring Environments
11 943 HUF
10 152 HUF
Digital Libraries Applications: CBIR, Education, Social Networks, EScience/Simulation, and GIS
18 249 HUF
16 789 HUF
