Please wait ...
0% Complete
فارسی
Home
/
چهاردهمین کنفرانس بین المللی فناوری اطلاعات و دانش
IoMT-Enabled Smart Healthcare: State-of-the-Art, Security and Future Directions
Authors :
Shivam Tripathi
1
Vatsalkumar Makwana
2
Malaram Kumhar
3
Harshal Trivedi
4
Jitendra Bhatia
5
Sudeep Tanwar
6
Hossein Shahinzadeh
7
1- L. J. Institute of Engineering and Technology
2- L. J. Institute of Engineering and Technology
3- Institute of Technology, Nirma University
4- Tushker AI
5- Institute of Technology, Nirma University
6- Institute of Technology, Nirma University
7- دانشگاه صنعتی امیرکبیر
Keywords :
Internet of Things،Internet of Medical Things،Cloud Computing،Fog computing،Edge computing،SDN،Machine learning،Deep learning
Abstract :
The Internet of Medical Things (IoMT) has become a game-changing force in the healthcare sector, revolutionizing the management of patient care and the provision of medical services. IoMT improves patient monitoring, diagnoses, therapy, and overall healthcare management by using the potential of linked medical devices, wearable sensors, and healthcare systems. This paper thoroughly analyzes recent research trends in computing architectures and communication technologies in IoMT-enabled smart healthcare. We examine the most recent advancements in IoMT technology and applications, emphasizing how they affect patient outcomes, healthcare expenditures, and quality of care. We explore some of the most important areas of IoMT research, such as remote patient monitoring, real-time data analytics, and integration with cutting-edge technology such as machine learning (ML) and deep learning (DL). Furthermore, we explore the use cases in IoT-based healthcare, data analytics techniques, and challenges in IoMT. Security and privacy measures in IoMT are also discussed in the paper. The paper concluded with open discussion and future research directions in IoT-based healthcare.
Papers List
List of archived papers
Improving Deep Neural Network Accelerator for Malaria Diseased Blood Cells using FPGA
Hadi Rezaeikarjani - Mojtaba Valinataj
An Improved Image Classification Based In Feature Extraction From Convolutional Neural Network: Application To Flower Classification
Faeze Sadati - Dr Behrooz Rezaie
تخلیهبار محاسباتی ریزدانه تحرکآگاه در رایانش لبه برای اینترنت اشیاء
شکوفه نوروزی - دکتر زینب موحدی شکوفه نوروزی - زینب موحدی -
Investigating the impact of management information systems (MIS) on organizational transparency with an emphasis on work ethics
Sadegh Balouch - Omid mehdi Ebadati
Integrating Wasserstein GANs for High-Speed Transformer-Based Neural Machine Translation
Parisa Nekoogol - Mostafa Salehi
Embedding-Consistent Contrastive Learning: A Robust Approach for Imbalanced Classification
Sobhan Siamak - Eghbal Mansoori
A Survey on Utilizing Reinforcement Learning in Wireless Sensor Networks Routing Protocols
Ali Forghani Elah Abadi - Seyedeh Elham Asghari - Sepideh Sharifani - Seyyed Amir Asghari - Mohammadreza Binesh Marvasti
تشخیص بیماری مزمن کلیوی با استفاده از یادگیرندههای گروهی و انتخاب ویژگیهای مؤثر مبتنی بر الگوریتم بهینهسازی تبادل حرارتی
صبا عارفنیا - مهدی هاشمزاده - امین گلزاری اسکوئی
PC-MCLD: Pose-Constrained and Multi-focal Conditioned Latent Diffusion for Person Image Synthesis
Hanieh Fazli - Reza Azmi
Human Resource Allocation to the Credit Requirement Process, A Process Mining Approach
Omid Mahdi Ebadati - Mohammad Mehrabioun - Shokoofeh Sadat Hosseini
more
Samin Hamayesh - Version 45.0.1