498 citations · 591 across the 5 of their papers we have counts for
5 papers
Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion
Thanveer Shaik, Xiaohui Tao, Lin Li +4
Federated Learning (FL) is currently one of the most popular technologies in the field of Artificial Intelligence (AI) due to its collaborative learning and ability to preserve cli…
QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems
Thanveer Shaik, Xiaohui Tao, Haoran Xie +3
Artificial Intelligence techniques can be used to classify a patient's physical activities and predict vital signs for remote patient monitoring. Regression analysis based on non-l…
AI enabled RPM for Mental Health Facility
Thanveer Shaik, Xiaohui Tao, Niall Higgins +3
Mental healthcare is one of the prominent parts of the healthcare industry with alarming concerns related to patients depression, stress leading to self-harm and threat to fellow p…
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
Thanveer Shaik, Xiaohui Tao, Niall Higgins +4
The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient monitoring (RPM) is one of the common healthcare applications that assist doctors to m…
FedStack: Personalized activity monitoring using stacked federated learning
Thanveer Shaik, Xiaohui Tao, Niall Higgins +4
Recent advances in remote patient monitoring (RPM) systems can recognize various human activities to measure vital signs, including subtle motions from superficial vessels. There i…