A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
Real-Time Anomaly Detection in IoMT Networks Using Stacking Model and a Healthcare- Specific Dataset
Abstract: The Internet of Medical Things (IoMT) connects medical devices to enable real-time monitoring and personalized care, significantly enhancing patient health and well-being. However, this ...
Objectives To identify caregiver burden profiles among informal caregivers of children and adolescents with type 1 diabetes ...
Methods We analysed data on family material assets and self-reported symptoms of problematic gaming from 58 881 participants in the 2021/2022 Italian Health Behaviour in school-aged children study.
Abstract: The Interactive Multiple Model (IMM) strategy is widely used for systems with multiple operating modes characterized by varying dynamics. This approach is particularly effective when a ...
Paytm’s Senior Vice President Naveen Setia discusses how Paytm’s AI capabilities drive hyper-personalization, fraud ...
The latent profile analysis was used to identify the self-efficacy groups of young and middle-aged patients with aortic dissection who returned to work. Multiple validated instruments with good ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
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