Investigation of Machine Learning Models for Anxiety Levels Assessment in Patients With Breast Cancer Using Self-Questionnaires. [PDF]
Kang T +6 more
europepmc +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
A survey of machine learning for estimating workload: considering unknown tasks. [PDF]
Bhagat Smith J, Adams JA.
europepmc +1 more source
Predicting unfavorable response to initial radioactive iodine therapy in differentiated thyroid cancer: an explainable machine learning and survival analysis approach. [PDF]
Gu L +5 more
europepmc +1 more source
<i>ϵ</i>-Machine and <i>ϵ</i>-Transducer Analysis of Functional Differentiation in Ant Collectives. [PDF]
Maruyama N +3 more
europepmc +1 more source
A solution to generalized learning from small training sets found in infants' repeated visual experiences of individual objects. [PDF]
Ramirez FM +3 more
europepmc +1 more source
Machine learning-assisted mRNA vaccine pharmacovigilance: a systematic review of multi-source real-world data. [PDF]
He Y, Mao Y, Wang X.
europepmc +1 more source
The morphometric features derived as the predictors of acute ischemic stroke recurrence. [PDF]
Sun J +5 more
europepmc +1 more source

