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 ...
Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Tech Xplore on MSN
Patient privacy in the age of clinical AI: Scientists investigate memorization risk
What is patient privacy for? The Hippocratic Oath, thought to be one of the earliest and most widely known medical ethics ...
The 2025 series of the Decision Advantage Sprint for Human-Machine Teaming marked a significant step forward in the ...
Asianet Newsable on MSN
What companies expect in 2026: AI skills, machine learning, and responsible AI
Discover the top AI skills in high demand for 2026. Learn about machine learning, generative AI, and other essential ...
The Marine Corps is gearing up to expand its first-person view drone capabilities in the New Year by purchasing 10,000 new ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback