Cost-effectiveness of Microsoft Academic Graph with machine learning for automated study identification in a living map of coronavirus disease 2019 (COVID-19) research.

Ian ShemiltAnneliese ArnoJames ThomasTheo LorencClaire KhoujaGary RaineKaty SutcliffeD'Souza PreethyIrene KwanKath WrightAmanda Sowden

Published in: Wellcome open research (2024)

We were able to increase recall and coverage of a large living map, whilst reducing its production costs. This finding is likely to be transferrable to OpenAlex, MAG's successor database platform.

Keyphrases

coronavirus disease
machine learning
high throughput
sars cov
deep learning
respiratory syndrome coronavirus
artificial intelligence
big data
healthcare
convolutional neural network
emergency department
neural network