Abstract: This research aims to explore the use of modern complex defensive machine learning algorithms in the provision of predictive analytics for health improvement. Incorporating electronic health ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on ...
The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...
The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.
Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...
Abstract: After all advancements in technology and times, prediction and prevention of heart diseases is still a major issue in modern days. Heart diseases play a major role in high death rate in ...
UK Home Office’s uses two algorithms for immigration purposes seemingly without sufficient safeguards to protect the right to privacy and meet data protection standards. Migrants appear to be subject ...
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