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.
A study of 1,099 patients was conducted to test decision tree-based learning algorithms to predict analgesic consumption and patient-controlled anesthesia control readjustment, according to 7thSpace.
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 ...
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 ...
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 ...
Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of patients with locally advanced disease; however, nearly 30% still ...
A cardiovascular disease (CVD) risk prediction tool developed by Northwestern Medicine scientists may also be effective for identifying which patients would most benefit from statin therapy, according ...
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