The Korea Research Institute of Standards and Science (KRISS) has developed an artificial intelligence (AI)-based image ...

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 ...

Machine learning analysis of clinical notes in the electronic health records of inpatients at psychiatric treatment centers was able to predict with significant accuracy the patients' risk of violence ...

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 ...

Clustering algorithms are used to generate clusters of elements having similar characteristics. Among the different groups of clustering algorithms, agglomerative algorithm is widely used in the ...

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 ...

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 ...

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% ...

In an attempt to reduce the workload of GPs, the UK is planning to introduce a new National Health Service (NHS) algorithm that will enable self-issued sick notes. The move is part of the government’s ...