A model-development study using 471 specialist nurse samples achieved an AUC of 0.766 for distinguishing stated transfer intentions, while highlighting class imbalance, biased data and synthetic ...

Researchers combined a low-cost IoT monitoring prototype with a Bayesian-optimized XGBoost model that achieved the highest ...

When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...

Inside the gut, on the surface of the skin and lining your ears, mouth and nose are colonies of millions of microbes. For ...

Introduction Recurrent stroke remains a major threat after an index stroke, but individual risk is difficult to estimate because recurrence reflects interacting clinical, imaging, treatment, ...

Used car price prediction using Machine Learning regression algorithms and Random Forest. - KunalGupta9321/Used-Car-Price-Prediction ...

MBTI Personality Prediction using Natural Language Processing and Machine Learning. - Jay00066/Personality_Prediction_NLP_ML ...

Developing reliable machine learning models for health care can be challenging when only small datasets are available. This ...

Here's a question straight out of sci-fi: What if AI could predict what you were going to do before you decided to, even in a completely new situation?

AI in myeloproliferative neoplasms can grade marrow fibrosis and predict survival, but authors say prospective, ...