Intelligent Biomedical Technologies and Applications for Healthcare 5.0
Sorozatcím: Advances in ubiquitous sensing applications for healthcare; 16;
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10% KEDVEZMÉNY?
- A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
- Kiadói listaár EUR 170.00
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72 114 Ft (68 680 Ft + 5% áfa)
Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.
- Kedvezmény(ek) 10% (cc. 7 211 Ft off)
- Discounted price 64 903 Ft (61 812 Ft + 5% áfa)
72 114 Ft
Beszerezhetőség
Megrendelésre a kiadó utánnyomja a könyvet. Rendelhető, de a szokásosnál kicsit lassabban érkezik meg.
Why don't you give exact delivery time?
A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.
A termék adatai:
- Kiadó Academic Press
- Megjelenés dátuma 2024. október 22.
- ISBN 9780443220388
- Kötéstípus Puhakötés
- Terjedelem304 oldal
- Méret 276x215 mm
- Súly 820 g
- Nyelv angol 656
Kategóriák
Hosszú leírás:
Intelligent Biomedical Technologies and Applications for Healthcare 5.0, Volume Sixteen covers artificial health intelligence, biomedical image analysis, 5G, the Internet of Medical Things, intelligent healthcare systems, and extended health intelligence (EHI). This volume contains four sections. The focus of the first section is health data analytics and applications. The second section covers research on information exchange and knowledge sharing. The third section is on the Internet of Things (IoT) and the Internet of Everything (IoE)-based solutions. The final section focuses on the implementation, assessment, adoption, and management of healthcare informatics solutions.
This new volume in the Advances in Ubiquitous Sensing Applications for Healthcare series focuses on innovative methods in the healthcare industry and will be useful for biomedical engineers, researchers, and students working in interdisciplinary fields of research. This volume bridges these newly developing technologies and the medical community in the rapidly developing healthcare world, introducing them to modern healthcare advances such as EHI and Smart Healthcare Systems.
Tartalomjegyzék:
1. Profiling and validating Fast Healthcare Interoperability Resource for Maternal and Neonatal Child Health referrals at Primary Health Care level through BlockMom
2. A cost-effective way of implementing Big data in Health Research in developing countries - case of Malawi
3. Characterizing Hospital Admission Patterns and Length of Stay in the Emergency Department at Mater Dei Hospital Malta
4. Machine Learning Approach for Enhancement in Healthcare
5. Disease Detection and Treatment Methods
6. Hybrid Fuzzy Based Improved Particle Swarm Optimization Technique for Cancer Cell Detection
7. A review on Covid19 (SARS-CoV-2) Pandemic: Using Artificial Intelligence and Machine Learning Protocols
8. Validity, Reliability and Usability Assessment of Smartphone-based Health 5.0 Application for Measuring Chronic Low Back Pain
9. Healthcare 5.0 Opportunities and Challenges: A Literature Review
10. An Impact of Reliability in Healthcare Internet of Things (HIoT)
11. Investigating the Effect of a Software Intervention Based on a Theoretical Behaviour Framework to Encourage Ergonomic Compliance During Computing Device Usage
12. Machine Learning Approach for Post-COVID Disease Prediction
13. Improving Interoperability Between Health Information Technology Systems Used by Mental Health and Acute Hospitals
14. Data management in the healthcare sector - A review
15. Emerging biomedical technologies in healthcare
16. Healthcare Cyber Risk and its Impact on Healthcare
17. Machine and Deep learning techniques for Smart Healthcare Industry: Big-Picture, and Open Research Challenges
18. Different Machine Learning Algorithms for Precise Brain Stroke Prediction
