Decision trees are among the more popular applications of machine learning in the capital markets. Uses include finding patterns in request-for-quote (RFQ) datasets and predicting stock prices.

Randomized Trial of Fixed-Dose Capecitabine Compared With Standard-Dose Capecitabine in Metastatic Breast Cancer: X-7/7 Trial Data were obtained from the Northwell Health cancer registry for patients ...

Risk prediction has permeated many aspects of modern life, including health care. Algorithms developed using advanced statistical methods have been used to identify hospitalized adults at risk of ...

Executives are inviting geographers into the boardroom. Why? Together, they are answering some of the most complex climate-risk questions: · Where are the greatest threats to buildings and other ...

Low-dose computed tomography (LDCT) screening is effective in reducing lung cancer mortality by detecting the disease at earlier, more treatable stages. However, high false-positive rates and the ...

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 ...

Pretrial risk assessment algorithms are intended to help judges make more informed decisions, but researchers have raised concerns not only about the fairness and accuracy of the tools themselves, but ...