Big data: Historic advances and emerging trends in biomedical research

Author:

Cremin Conor John,Dash SabyasachiORCID,Huang XiaofengORCID

Publisher

Elsevier BV

Subject

Biotechnology

Reference195 articles.

1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., 2016. TensorFlow: a system for large-scale machine learning. In: Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16), pp. 265–283.

2. Big healthcare data: preserving security and privacy;Abouelmehdi;J. Big Data,2018

3. Adam, K., 2015. Big Data Analysis and Storage.

4. Adibuzzaman, M., DeLaurentis, P., Hill, J., Benneyworth, B.D., 2017. Big data in healthcare - the promises, challenges and opportunities from a research perspective: A case study with a model database. In: AMIA ... Annu. Symp. Proceedings. AMIA Symp., vol. 2017, pp. 384–392, 2017, [Online]. Available: http://www.ncbi.nlm.nih.gov/pubmed/29854102.

5. Big data in digital healthcare: lessons learnt and recommendations for general practice;Agrawal;Heredity (Edinb),2020

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