A systematic review of healthcare recommender systems: Open issues, challenges, and techniques
M Etemadi, SB Abkenar, A Ahmadzadeh… - Expert Systems with …, 2023 - Elsevier
Background The maintenance of health through prevention, diagnosis, and treatment of
illnesses, injuries, and other mental and physical impairments in people is called healthcare …
illnesses, injuries, and other mental and physical impairments in people is called healthcare …
Leveraging 6G, extended reality, and IoT big data analytics for healthcare: A review
In recent years, the healthcare industry has faced new challenges around staffing, human
interaction, and the adoption of telehealth. Technological innovations can improve …
interaction, and the adoption of telehealth. Technological innovations can improve …
Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks
Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …
provide low latency and reduce the load in backhaul networks. In order to meet drastically …
A selective ensemble learning based two-sided cross-domain collaborative filtering algorithm
X Yu, Q Peng, L Xu, F Jiang, J Du, D Gong - Information Processing & …, 2021 - Elsevier
Abstract Recently, various Cross-Domain Collaborative Filtering (CDCF) algorithms are
presented to address the sparsity problem, leveraging ratings of auxiliary domains to …
presented to address the sparsity problem, leveraging ratings of auxiliary domains to …
Internet of things-enabled real-time health monitoring system using deep learning
X Wu, C Liu, L Wang, M Bilal - Neural Computing and Applications, 2023 - Springer
Smart healthcare monitoring systems are proliferating due to the Internet of Things (IoT)-
enabled portable medical devices. The IoT and deep learning in the healthcare sector …
enabled portable medical devices. The IoT and deep learning in the healthcare sector …
A secure certificateless signcryption scheme without pairing for internet of medical things
The Internet of Medical Things (IoMT), which integrates medical sensors with the Internet of
Things, is helpful for providing remote diagnosis and real-time decision making. Massive …
Things, is helpful for providing remote diagnosis and real-time decision making. Massive …
Designing a teaching assistant system for physical education using web technology
S Qi, S Li, J Zhang - Mobile Information Systems, 2021 - Wiley Online Library
An efficient and effective management is mandatory for the success of every organization,
especially educational institutes. Following the course curriculum and completing it in time …
especially educational institutes. Following the course curriculum and completing it in time …
Digital twin based Healthcare System (DTHS) for Earlier Parkinson Disease Identification and Diagnosis using Optimized Fuzzy based k-Nearest Neighbor Classifier …
L Abirami, J Karthikeyan - IEEE Access, 2023 - ieeexplore.ieee.org
The Digital twin based Healthcare System is a demanding issue that can introduce
improvements in the life of the elderly and disabled people living in remote places. More …
improvements in the life of the elderly and disabled people living in remote places. More …
Construction of music teaching evaluation model based on weighted naïve bayes
X Xia, J Yan - Scientific Programming, 2021 - Wiley Online Library
Evaluation of music teaching is a highly subjective task often depending upon experts to
assess both the technical and artistic characteristics of performance from the audio signal …
assess both the technical and artistic characteristics of performance from the audio signal …
Effective healthcare service recommendation with network representation learning: A recursive neural network approach
Recently, recommender systems have been combined with healthcare systems to
recommend needed healthcare items for both patients and medical staff. By monitoring the …
recommend needed healthcare items for both patients and medical staff. By monitoring the …