As the Army prepares for large-scale combat operations (LSCO), the importance of effective logistics has never been greater. In contested environments, where supply chains are vulnerable to disruption ...
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 ...
As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...
In the Age of Prediction, Algorithms, AI, and the Shifting Shadows of Risk, Tulchinsky, founder of quantitative hedge fund WorldQuant, and Mason, a geneticist and computational biologist, jointly ...
Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
Scientists from Malaysia and Thailand have developed a novel machine-learning model for predicting the maintenance needs of large-scale solar PV plants. According to a recently published scientific ...
Hospitals are looking to invest in new technologies and work-on innovations that will improve the care patients receive. To learn more about how hospitals are adopting new technologies such as ...
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 ...
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