Robotics & Machine Learning Daily News2024,Issue(Feb.14) :9-10.DOI:10.1038/s41598-024-52723-y

Technical University Dresden (TU Dresden) Reports Findings in Machine Learning (A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data)

Robotics & Machine Learning Daily News2024,Issue(Feb.14) :9-10.DOI:10.1038/s41598-024-52723-y

Technical University Dresden (TU Dresden) Reports Findings in Machine Learning (A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data)

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Abstract

New research on Machine Learning is the subject of a report. According to news reporting out of Dresden, Germany, by NewsRx editors, research stated, “The emergence of collaborations, which standardize and combine multiple clinical databases across different regions, provide a wealthy source of data, which is fundamental for clinical prediction models, such as patient-level predictions. With the aid of such large data pools, researchers are able to develop clinical prediction models for improved disease classification, risk assessment, and beyond.”

Key words

Dresden/Germany/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量30
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