Healthcare 4.0

Health Informatics and Precision Data Management
1. Auflage 2024
ISBN: 978-1-032-42262-6
Verlag: CRC Press

Buch, Englisch, 298 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 522 g

The main aim of Healthcare 4.0: Health Informatics and Precision Data Management is to improve the services given by the healthcare industry and to bring meaningful patient outcomes by applying the data, information and knowledge in the healthcare domain.

Features:

- Improves the quality of health data of a patient

- Presents a wide range of opportunities and renewed possibilities for healthcare systems

- Gives a way for carefully and meticulously tracking the provenance of medical records

- Accelerates the process of disease-oriented data and medical data arbitration

- Brings meaningful patient health outcomes

- Eradicates delayed clinical communications

- Helps the research intellectuals to step down further toward the disease and clinical data storage

- Creates more patient-centered services

The precise focus of this handbook is on the potential applications and use of data informatics in healthcare, including clinical trials, tailored ailment data, patient and ailment record characterization and health records management.

Zielgruppe

Postgraduate, Professional, Professional Practice & Development, and Undergraduate Advanced

Autoren/Hrsg.

Krishnasamy, Lalitha

Dhanaraj, Rajesh Kumar

Balusamy, Balamurugan

Sabharwal, Munish

Chinnasamy, Poongodi

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizin, Gesundheit: Sachbuch, Ratgeber
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Krankenhausmanagement, Praxismanagement
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Inhaltsverzeichnis

1. Privacy preserving healthcare informatics using Federated learning and Blockchain. 2. Applications, Opportunities and Current Challenges in the Healthcare Industry. 3. Harnessing Big Data and Artificial Intelligence for Data Acquisition, Storage and Retrieval of Healthcare Informatics in Precision Medicine. 4. Analogous Healthcare Product Identification in Online Shopping. 5. Segmentation Based Comparative Analysis for Detection Of Bone Tumor Using Healthcare Dataset. 6. Challenges, Progress and Opportunities of Blockchain in HealthCare Data. 7. SepSense: A Novel Sepsis Detection System Using Machine Learning Techniques. 8. Oral Cancer Detection at Early Stage Using Convolutional Neural Network in Healthcare Informatics. 9. Lung Diseases Identification Brain-Computer Interface based Real-Time Movement of Upper Limb Prostheses. 10. Brain-Computer Interface based Real-Time Movement of Upper Limb Prostheses. 11. A Robust Image Driven CNN Algorithm to detect Skin Disease in Healthcare systems. 12. Patient identity ailments and maintenance using Blockchain and Health informatics. 13. An Innovative outcome of Internet of Things and Artificial Intelligence in remote centered Healthcare application schemes. 14. Electronic Health Records Storing and Sharing System Using Blockchain

Über Autor(innen)

Dr. Lalitha Krishnasamy received B.Tech IT from CSI College of Engineering, The Nilgris in 2005 and M.Tech IT from Anna University of Technology in 2009 and completed PhD in Wireless Sensor Networks in 2019. Currently working as an Associate Professor in the Department of IT, Kongu Engineering College, Erode. She has conducted various workshops and published several papers in the area of Wireless Sensor Networks, Internet of Things and Artificial Intelligence Algorithms. Her research area of interest includes Wireless Sensor Networks, Artificial Intelligence and Internet of Things. She published 3 book chapters and obtained 4 patents. She is a Lifetime member of CSI and IAENG. ORCID: 0000-0002-4682-8191.

Dr. Rajesh Kumar Dhanaraj is an Associate Professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, U.P, India. He holds a PhD degree in Information and Communication Engineering by the Anna University, India. He has presented papers at conferences, published articles and papers in various journals, and contributed a chapter to the books. His research and publication interests include Wireless Sensor Networks and Cloud Computing. He is an Expert Advisory Panel Member of Texas Instruments Inc USA.

Prof. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 14 years of experience with VIT University, Vellore. He had completed his Bachelors, Masters and PhD Degrees from Top premier institutions from India. His passion is teaching and adapts different design thinking principles while delivering his lectures. He has published 30+ books on various technologies and visited 15 plus countries for his technical course. He has several top-notch conferences in his resume and has published over 150 of quality journal, conference and book chapters combined. He serves in the advisory committee for several startups and forums and does consultancy work for industry on Industrial IOT. He has given over 175 talks in various events and symposium. He is currently working as a professor at Galgotias University and teaches students, does research on Blockchain and IOT.

Dr. Munish Sabharwal is Professor & Dean, School of Computing Science & Engineering, Galgotias University, Greater Noida (UP) India. He is also Adjunct Professor -Faculty of Digital Technologies, Samarkand State University, Samarkand, Uzbekistan. He is PhD (Computer Science) and PhD (Management) and also has a PGDM (International Trade) from Symbiosis Institute of Management Studies, Pune, an M.Tech (Computer Science) from IASE University, Sardarshahr and a B.E. (Computer Technology) from Nagpur University, Nagpur. He has 12+ yrs. of research experience, has published more than 83+ research papers in reputed conferences and Journals indexed in Web of Science, Scopus etc. He is board member as well as reviewer for a number of leading indexed research journals and has several books to his credit. He is guiding 12 PhD Scholars and his current research interests include Data Sciences (AI & ML), Biometrics & E-Banking. He has more than 12 Professional Memberships and Research Associations with organizations like Life Members- IAENG, TAEI, CSI, AIMA, YHAI, Senior Member – ACM, IEEE, IACSIT, IRED and Member- ASI, AAAI, AIS etc. He has special fondness for teaching, with 18+ yrs.

Dr. Poongodi Chinnasamy is Professor and Head, Department of Information Technology in Vivekanandha College of Engineering for Women, Tiruchengode, Namakkal District. She has obtained her B.E in Electronics and Communication Engineering from Bharathiar University, Coimbatore in 2001, M.E in Computer Science Engineering from Bharathiar University in 2002 and obtained Ph.D in Information and Communication Engineering from Anna University, Chennai during 2013. She has published twenty+ papers in International conferences and 25+ papers in International journals. Her research areas include Wireless networks, Mobile Ad-hoc Networks, Delay Tolerant Networks and Embedded Systems. Mail-id: [e-mail]