Researchers have found a new approach to incorporating the larger web of relevant data for predictive modeling for individual and community health outcomes. In the U.S., the place where one was born, ...

BROOKLYN, New York, Thursday, July 29, 2021 – In the U.S., the place where one was born, one’s social and economic background, the neighborhoods in which one spends one’s formative years, and where ...

The optimisation of process planning has emerged as a pivotal aspect of modern manufacturing, where genetic algorithms (GAs) and hybrid techniques are leveraged to address the combinatorial complexity ...

Obtaining Knowledge in Pathology Reports Through a Natural Language Processing Approach With Classification, Named-Entity Recognition, and Relation-Extraction Heuristics We retrospectively analyzed BC ...

Optimizing Outcome Prediction in Diffuse Large B-Cell Lymphoma by Use of Machine Learning and Nationwide Lymphoma Registries: A Nordic Lymphoma Group Study Collecting PRO assessments can provide ...

A stepwise, evidence-based algorithm for initiating, advancing, and maintaining EN in critically ill children was developed using a multidisciplinary consensus approach. A full description of the ...

A new theory could bring a way to make quantum algorithm development less of an accidental process, say scientists. In 2019, Google claimed it was the first to demonstrate a quantum computer ...

AI bias is an anomaly in the output of machine learning algorithms. These could be due to the prejudiced assumptions made during the algorithm development process or prejudices in the training data.

Faced with the prospect of developing custom logic for a new, highly parallel processor architecture for a multimedia processor system on chip (SoC), an R&D team had to implement a strategy to ...