Guest Editors
Dr. Dhanapal Durai Dominic Selvam, Universiti Teknologi Petronas, Malaysia.
Dr. KottiLingam Kottursamy, SRMIST, India.
Dr. Abid Sohail, COMSATS university, Pakistan.
Dr. Korhan Cengiz, Trakya University, Turkey.
Summary
The Data Science and Internet of Things (IoT) fields are blooming bright in this era. IoT is one of the major contributors to data in today’s technological world. The data that is produced from the IoT devices are massive which paves the way for the many data-intensive system and applications. The Natural Language Processing (NLP) is used for the machine to machine correspondence and the NLP based frameworks, have developed in the new past which assisted with expanding the proficiency of administrations offered absent a lot of need of human connection. This huge technological revolution unveils many opportunities to solve socio-economical problems. The large-scale application ranges from biometric systems to remote patient monitoring. Smart environments include smart mobility, vehicular systems, smart grids, waste management; environmental monitoring, water management; surveillance/intelligence; smart services, and crowdsensing. The global IoT in the healthcare market size is projected to reach USD 534.3 billion by 2025 expanding at a CAGR 19.9% over the forecast period, according to a new report by a global research forum. Hence, smart healthcare becomes very important. IoT-based healthcare services are expected to reduce costs, increase the quality of life, and enrich the user’s experience. This special issue focuses on original and unpublished articles in the area of IoT supported smart infrastructures, smart healthcare solutions, remote drug behavioural analysis and data science-based drug recommendation systems, Inventive smart vehicular systems, motion control and medical imaging, healthcare embedded smart homes and other broad domains of healthcare decision support systems.
Subtopics:
The subtopics to be covered within this issue are listed below:
1. Healthcare information systems
2. Ambient assisted living
3. The internet of m-health things (m-IoT)
4. Information sciences and Adverse drug reaction
5. AI in Community healthcare
6. Children health information systems
7. Wearable device access
8. AI for Remote Medical Imaging
9. Smart systems for electrocardiogram monitoring
10. Smart systems for oxygen saturation monitoring
11. Smart systems for body temperature monitoring
12. Smartphone healthcare solutions
13. Crowd-sensing, human-centric sensing
14. Deployment and field testing
15. e-Health, Assisted Living and e-Wellness
16. IoMT for contact tracing and monitoring in pandemic environments
17. Correlation of Health and IoT based air quality index monitoring
18. Data-Sciences and Smart Cities
19. Security, privacy, the integrity of multimodal data in IoMT
20. New data science algorithms geospatial systems
21. Business Process Improvement
22. Natural Language Processing
Keywords
• Data Science
• IoT
• Health Information Systems
• AI
• Smart Systems
• Business Process Improvement
Published Papers
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