ISBN13: | 9781032611938 |
ISBN10: | 1032611936 |
Binding: | Hardback |
No. of pages: | 324 pages |
Size: | 234x156 mm |
Language: | English |
Illustrations: | 100 Illustrations, black & white; 47 Halftones, black & white; 53 Line drawings, black & white; 19 Tables, black & white |
700 |
Medicine in general
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Medicine in general (charity campaign)
Electrical engineering and telecommunications, precision engineering (charity campaign)
Energy industry (charity campaign)
Computer architecture, logic design (charity campaign)
Computer networks in general (charity campaign)
Privacy, data security (charity campaign)
Safety and health aspects of computing (charity campaign)
Environmental sciences (charity campaign)
Medical biotechnology (charity campaign)
Economics (charity campaign)
More books in the field of economy (charity campaign)
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Medical Knowledge Paradigms for Enabling the Digital Health Ecosystem
GBP 110.00
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Medical Knowledge Paradigms for Enabling the Digital Health Ecosystems delves into the dynamic interplay between technology and healthcare, exploring the transformative potential of digital solutions in shaping the future of healthcare delivery.
In the era of digital transformation, the landscape of healthcare is undergoing a profound paradigm shift, driven by technological innovation and collaborative endeavors. The book Medical Knowledge Paradigms for Enabling the Digital Health Ecosystem delves into the dynamic interplay between technology and healthcare, exploring the transformative potential of digital solutions in shaping the future of healthcare delivery.
As we embark on this journey through the corridors of medical knowledge, it is imperative to recognize the pivotal role of digital health ecosystems in fostering collaboration, innovation, and accessibility. From pioneering research initiatives to real-world applications, each chapter in this book offers unique insights into the evolving landscape of digital health, reflecting the diverse perspectives and contributions of researchers, practitioners, and stakeholders across the globe.
The book
- addresses the necessary comparative study on the mental health well-being for adolescents.
- reveals differing levels of awareness regarding WHO?s contributions and cooperation between India and WHO amidst the COVID-19 pandemic.
- discusses the remarkable progress across various healthcare domains and highlights the urgent need for enhanced security and efficiency in medical IoT devices, along with the transformative potential of 5G technology in this context.
- presents the fusion of artificial intelligence with medical diagnostics, exemplifying techniques like heart disease diagnosis using machine learning, deep learning for skin cancer detection and Hippocampus Sclerosis Segmentation, and COVID-19 diagnosis using self-organizing feature maps.
- showcases the journey of revolutionizing prosthetics through brain-computer interface-based 3D printed bionic hands, exemplifying the intersection of technology and human-centric design, ultimately enhancing the quality of life for individuals with disabilities.
- delves into the realm of point-of-care diagnostics in laboratory medicine, offering insights into the current scenario and prospects of this critical aspect of healthcare delivery.
Through these chapters, readers will gain a comprehensive understanding of the diverse array of technological innovations reshaping the healthcare landscape and driving forward the agenda of accessible, efficient, and patient-centric healthcare delivery worldwide.
1. Mental well-being of adolescents: A comparison of day school and boarding school
Usha Desai, M. Susha, K. P. Raghavan
2. Epilepsy signals classification using feature selection and a feature ranking approach
Usha Desai, Roshan J. Martis, Akash Saxena, Dilna Udayan, M. Susha
3. Skin cancer detection in skin lesion images using weighted ensemble-based VGG16 CNN
Rahul Kumar Chaurasiya, Aditi Gupta, Rohit Singh Ahirwar, Abhinandini Borkar, Pradeep Kumar Sahu, Sahil Mourya
4. Hippocampus sclerosis segmentation by vanilla U-Net model prediction
Jayanthi Vajiram, S. Sivakumar, H. G. Nanditha, Chennagiri Rajarao Padma
5. Nanotechnological advancements in medical devices
P. R. Lighittha, M. Sundara Srivathsan, G. Lakshmi Priya
6. A study on enhancing security and efficiency in medical IoT devices data transmission using 5G technology
V. Ramakrishna, S. V. Sudheer Kumar, Ravichander Janapati, Dwarapu Lakshmi Narayana
7. One digital health
Rajashri Bezbaruah, Bedanta Bhattacharjee, K. Sandhanam, Ram Kumar Sahu, Jesa S. Madelo, Pankti C. Balar, Vivek P. Chavda
8. An enhanced approach to predict heart disease for Gen X using machine learning algorithms
R. Akshay, P. Pramod Kumar
9. Innovative supporting system: A primitive model to address nature call challenges for bedridden individuals
Murigendrayya M. Hiremath, Chennagiri Rajarao Padma, A. R. Aswatha, Usha Desai
10. 1D self-organizing feature map technique for diagnosis of COVID-19 infection
Naveen Gehlot, Ankit Vijayvargiya, Rajesh Kumar, Akhil Ranjan Garg, Nilanjan Dey
11. Revolutionizing prosthetics: The journey of BCI-based 3D-printed bionic hands
Thottempudi Pardhu, Usha Desai, Sampath Kumar, Bhagavant K. Deshpande, D. M. Shivanna
12. Point-of-care diagnostics in laboratory medicine: The current scenario and future prospects
Arindam Ghosh, Aritri Bir, Dipmala Das, Asitava Deb Roy
13. Public awareness on healthcare ecosystem and cooperation between India and the World Health Organization
D. Ramesh Babu, Gurunadham Goli, Rakesh Sengupta, Usha Desai, Michael Jackson,
K. V. Narasimha Rao, P. Issac Prasad
14. Applications of nanotechnological medical devices: Nanosensors, nanomaterials, nanomedicine
Amol D. Gholap, Pankaj R. Khuspe, Satish Rojekar, Sadikali F. Sayyad, Machindra Chavan
15. Roadmap for near-patient diagnostics techniques in healthcare
Suneetha Vuppu, Toshika Mishra, Keshav Sharma, Tejasri Sirigiri, Sanhita Pathak, V. Raj, Vivek P. Chavda