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Thursday, May 20, 2021

Machine Learning Determines Research Impact

 Good use example made here, note training made on key metadata.  Relatively straight forward.

Using ML to Predict High-Impact Research

MIT News, Becky Ham May 17, 2021

Researchers at the Massachusetts Institute of Technology (MIT) have developed an artificial intelligence framework able to predict future high-impact technologies based on patterns found in published scientific studies. The framework, DELPHI (Dynamic Early-warning by Learning to Predict High Impact), identified all pioneering papers on a list of key foundational biotechnologies as early as the first year after their publication. MIT's James W. Weis said the framework "functions by learning patterns from the history of science, and then pattern-matching on new publications to find early signals of high impact." DELPHI, which was trained on a full time-series network of journal article metadata, identified more than twice as many high-impact papers compared to citation numbers alone.  ... ' 

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