Latest AI and machine learning research in information technology for healthcare professionals.
Biomedical research data reuse and sharing is essential for fostering research progress. To this aim...
In recent years, many methods for intrusion detection systems (IDS) have been designed and developed...
OBJECTIVE: Limited research has evaluated the utility of machine learning models and longitudinal da...
Artificial intelligence (AI) is a broad term referring to the application of computational algorithm...
Technological advances, lack of medical professionals, high cost of face-to-face encounters, and dis...
BACKGROUND: Electronic health records (EHRs) are a rich source of longitudinal patient data. However...
The disruption in healthcare attention to people with alcohol dependence, along with psychological d...
The increasing availability of large collections of electronic health record (EHR) data and unpreced...
BACKGROUND: Deterministic Networking (DetNet) is a new technology that can effectively control netwo...
This work introduces a predictive Length of Stay (LOS) framework for lung cancer patients using mach...
The unbounded increase in network traffic and user data has made it difficult for network intrusion ...
OBJECTIVE: Social determinants of health (SDOH) are non-medical factors that can profoundly impact p...
Mortality prediction for intensive care unit (ICU) patients is crucial for improving outcomes and ef...
Rapid technological development has changed drastically the automotive industry. Network communicati...
BACKGROUND: Accurate, pragmatic risk stratification for postoperative delirium (POD) is necessary to...
With the rapid development of electronic medical records (EMRs), most existing medicine recommendati...
Modern artificial intelligence techniques have solved some previously intractable problems and produ...
This paper introduces an integrated IoT architecture to handle the problem of cyber attacks based on...
Federated learning (FL) is an emerging subdomain of machine learning (ML) in a distributed and heter...
We introduce a set of input models for fusing information from ensembles of wearable sensors support...
BACKGROUND: Alzheimer's disease (AD) is a highly heterogeneous disease with diverse trajectories and...