Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
Abstract: Machine learning is widely used to solve networking challenges, ranging from traffic classification and anomaly detection to network configuration. However, machine learning also requires ...
Radiation therapy has long been a cornerstone in the treatment of various cancers, significantly improving survival rates and quality of life for patients worldwide. Over the past decade, significant ...
Abstract: This paper provides a systematic overview of machine learning methods applied to solve NP-hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both the machine ...
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