Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

The ability of developing complex internal representations of the environment is considered a crucial antecedent to the emergence of humans’ higher cognitive functions. Yet it is an open question ...

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 ...

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

Catalog description: Presents the underlying theory behind machine learning in proofs-based format. Answers fundamental questions about what learning means and what can be learned via formal models of ...

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 ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.