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 ...
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, ...
Inside the gut, on the surface of the skin and lining your ears, mouth and nose are colonies of millions of microbes. For ...
Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Predicting severe adverse events (SAEs) in oncology is ...
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...
Researchers combined a low-cost IoT monitoring prototype with a Bayesian-optimized XGBoost model that achieved the highest ...
Developing reliable machine learning models for health care can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...
MBTI Personality Prediction using Natural Language Processing and Machine Learning. - Jay00066/Personality_Prediction_NLP_ML ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...
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