ascopubs.org

Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...
ascopubs.org

Development of Machine Learning Algorithms for the Prediction of Financial Toxicity in Localized Breast Cancer Following Surgical Treatment

Financial burden caused by cancer treatment is associated with material loss, distress, and poorer outcomes. Financial resources exist to support patients but identification of need is difficult. We ...
Seeking Alpha

EZV Algorithms: VIX Futures Curve As A Risk Mitigation And Market-Timing Tool - An 11-Year Back Test

The most eye-catching result is the enhanced returns. Over the eleven‑year period the algorithm returned 15.5% per year while indexed returns were only 7.2%. That represents an 8.3% annual return ...
SpaceNews

TSARDI: a Machine Learning data rejection algorithm for transiting exoplanet light curves

We present TSARDI, an efficient rejection algorithm designed to improve the transit detection efficiency in data collected by large scale surveys. TSARDI is based on the Machine Learning clustering ...