Learning from data to predict future symptoms of oncology patients

Overview of attention for article published in PLOS ONE, December 2018

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In the top 5% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (98th percentile)
High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news: 20 news outlets
blogs: 2 blogs

twitter: 23 X users

Readers on

mendeley: 82 Mendeley

So far, Altmetric has seen 29 X posts from 23 X users, with an upper bound of 280,396 followers.

Will definitely read!! The heading of your paper below in PLOS featured also in the slides of Dr. L. Lewis Learning from data to predict future symptoms of oncology patients- N. Papachristou et al. https://t.co/MNZEC1xuwX

Learning from data to #predict future symptoms of #oncology #patients https://t.co/skIOP3l1NL #biomedical #cancer #treatment #openaccess @SIPBS_Strath https://t.co/r60fykoCUM

A new study successfully developed a #deeplearning model to predict three common and inter-related symptoms in #cancer patients. #OncoPower is integrating #artificialintelligence, #digitalhealth, and #blockchain to transform #cancercare worldwide. https…

RT @kgapo: After all we are a well working and collaborating intl team! both in the close boundaries of the @esmart_eu project and beyond!…

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