Seeking to reduce the computing power needed for the widely used dynamic mode decomposition algorithm, a team of researchers in China led by Guo-Ping Guo developed a quantum-classical hybrid algorithm ...
Researchers from Northwestern Medicine in Chicago developed an algorithm to predict the severity of new mothers’ postpartum depression a year after giving birth. 1. To develop the algorithm, the ...
Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...
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Smartwatches achieve centimeter-level location accuracy with new tracking algorithms
University of Otago researchers have developed algorithms that improve the precision of location tracking in smartwatches, a ...
In this module the student will learn the very basics of algorithms through three examples: insertion sort (sort an array in ascending/descending order); binary search: search whether an element is ...
Using nationwide electronic health record (EHR) and cancer registry data from the VA Corporate Data Warehouse, we developed and validated a rule-based NLP algorithm to extract oncologist-determined MM ...
A new algorithm for estimating left ventricular filling pressure (LVFP) by echocardiography reduced indeterminate results to just two cases compared with 38 using previous guidelines, achieving 86% ...
An algorithm is proposed for performing harmonic analysis of tonal music. The algorithm begins with a representation of a piece as pitches and durations; it generates a representation in which the ...
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