A study on high-concurrency payment systems proposes a distributed architecture with layered consistency control to ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...

Scientists from Duke-NUS Medical School offer recommendations for using FL frameworks in future clinical research, considering both prediction and non-prediction tasks, data variability, and the ...

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

Predictive modeling of data using modern regression and classification methods. Multiple linear regression; logistic regression; pitfalls and diagnostics; nonparametric and nonlinear regression and ...

Selection of appropriate adjuvant therapy to ultimately reduce the risk of breast cancer (BC) recurrence is a challenge for medical oncologists. Several automated risk prediction models have been ...

Mind wandering is an intriguing phenomenon; the average person spends up to 50% of their waking hours in this semi-dreamlike state. While it is notorious for undermining performance on tasks requiring ...