The efficient management of hospital resources, particularly in terms of bed utilisation and staff allocation, is increasingly critical in modern healthcare systems. Predictive modelling for hospital ...
Electronic health record data can be used to predict patient absenteeism accurately. Predictive overbooking of missed appointments can significantly increase service utilization. ABSTRACTObjectives: ...
This story was originally published by Data-Smart City Solutions. Ever heard of a “rat ride-along?” Neither had Peter Casey, Senior Data Scientist in The Lab @ DC and member of the Office of the Chief ...
BackgroundWater scarcity, declining water quality, and increasing climate variability are imposing unprecedented constraints on global food production, ...
Paolo Gaudiano is a mathematician and cognitive scientist who is often asked to demystify the practice of predictive modeling for businesses. A former professor at Boston University, he left academia ...
Increased demand for uncured, higher pH formulations and natural products has made the challenge of controlling Listeria difficult. The good news: the job just got easier with the Corbion ® Listeria ...
—In a new study, researchers applied predictive machine learning techniques to develop an algorithm capable of identifying patients at increased risk of upstaging, personalizing treatment, and ...
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