My company, Kickfurther, has carved out a niche by connecting businesses in need of funding for their retail inventory with buyers of that inventory. A key component of this business model is the ...
Once dominated by paper-based applications, actuarial tables, and manual judgment, underwriting is now entering an era led by ...
Researchers used advanced machine learning to increase the accuracy of a national cardiovascular risk calculator while preserving its interpretability and original risk associations. Risk calculators ...
In late 1981, the legendary urban design expert Allan B. Jacobs was walking along a road in Tangshan, China, visiting a new housing development when he noticed improvised, hand-made grates covering ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...
Tokyo, one of the world's most densely populated megacities, sits on a highly active seismic zone where the threat of major earthquakes is ever-present. One of the most destructive aspects of seismic ...
A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
Please provide your email address to receive an email when new articles are posted on . The model demonstrated a high degree of predictability for postpartum depression. Of those predicted to have a ...
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