Towards Machine-Readable (Meta) Data and the FAIR Value for Artificial Intelligence Exploration of COVID-19 and Cancer Research Data-Reference-Cited by-同舟云学术

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Towards Machine-Readable (Meta) Data and the FAIR Value for Artificial Intelligence Exploration of COVID-19 and Cancer Research Data

Published:2021-08-30 Issue: Volume:4 Page:
ISSN:2624-909X
Container-title:Frontiers in Big Data
language:
Short-container-title:Front. Big Data

Author:

Campos Maria Luiza. M.,Silva Eugênio,Cerceau Renato,Cruz Sérgio Manuel Serra da,Silva Fabricio A. B.,Gouveia Fábio. C.,Jardim Rodrigo,Kotowski Nelson,Lopes Giseli Rabello,Dávila Alberto. M. R.

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Information Systems,Computer Science (miscellaneous)

Reference22 articles.

1. Cancer Research: The Lessons to Learn from COVID-19;Bailey;Cancer Discov.,2020

2. Integrating Precision Cancer Medicine into Healthcare—Policy, Practice, and Research Challenges;Bertier;Genome Med.,2016

3. Linked Data - the Story So Far;Bizer;Int,2009

4. Data Sharing in Large Research Consortia: Experiences and Recommendations from ENGAGE;Budin-Ljøsne;Eur. J. Hum. Genet.,2014

5. Distributed Learning on 20 000+ Lung Cancer Patients - the Personal Health Train;Deist;Radiother. Oncol.,2020

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