Mapping Cyber Attacks on the Internet of Medical Things: A Taxonomic Review
V Kondeti, H Bahsi - 2024 19th Annual System of Systems …, 2024 - ieeexplore.ieee.org
The Internet of Medical Things (IoMT) constitutes the core technology of various
contemporary healthcare applications, such as remote patient monitoring, telemedicine, and …
contemporary healthcare applications, such as remote patient monitoring, telemedicine, and …
Optimizing Length of Stay Prediction After Intubation: An Advanced Machine Learning Model with Real-time Vital Sign Integration
In the critical care unit, bedside monitors track patients' vital signs to help physicians make
choices. With increased storage and analysis capability, huge datasets may be processed …
choices. With increased storage and analysis capability, huge datasets may be processed …
Investigating the Role of Machine Learning Algorithms in Predicting Sepsis using Vital Sign Data
Objective: In hospitals, sepsis is a common and costly condition, but machine learning
systems that utilize electronic health records can enhance the timely detection of sepsis. The …
systems that utilize electronic health records can enhance the timely detection of sepsis. The …
Streamlined Patient Care With Smart Monitoring and Deep Learning-based Recommendations Using Categorical Cross Entropy Optimization
The number of people worldwide who have chronic and lifestyle illnesses is increasing,
causing challenges for society and the economy. To address this issue, this research …
causing challenges for society and the economy. To address this issue, this research …