Literature DB >> 31932781

Sizing up big data.

Marcus A Banks1.   

Abstract

Mesh：

Year:  2020        PMID： 31932781     DOI： 10.1038/s41591-019-0703-0

Source DB:  PubMed          Journal:  Nat Med        ISSN： 1078-8956            Impact factor:   53.440


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  6 in total

1.  Big Data and Glomerular Disease: Uncovering Common Outcomes of Rare Disease.

Authors:  Dorey A Glenn; Susan L Hogan
Journal:  J Am Soc Nephrol       Date:  2021-09       Impact factor: 14.978

Review 2.  A scoping review of artificial intelligence applications in thoracic surgery.

Authors:  Kenneth P Seastedt; Dana Moukheiber; Saurabh A Mahindre; Chaitanya Thammineni; Darin T Rosen; Ammara A Watkins; Daniel A Hashimoto; Chuong D Hoang; Jacques Kpodonu; Leo A Celi
Journal:  Eur J Cardiothorac Surg       Date:  2022-01-24       Impact factor: 4.191

Review 3.  Economic evaluations of big data analytics for clinical decision-making: a scoping review.

Authors:  Lytske Bakker; Jos Aarts; Carin Uyl-de Groot; William Redekop
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

4.  How can we discover the most valuable types of big data and artificial intelligence-based solutions? A methodology for the efficient development of the underlying analytics that improve care.

Authors:  Lytske Bakker; Jos Aarts; Carin Uyl-de Groot; Ken Redekop
Journal:  BMC Med Inform Decis Mak       Date:  2021-11-29       Impact factor: 2.796

5.  The intersection of genomics and big data with public health: Opportunities for precision public health.

Authors:  Muin J Khoury; Gregory L Armstrong; Rebecca E Bunnell; Juliana Cyril; Michael F Iademarco
Journal:  PLoS Med       Date:  2020-10-29       Impact factor: 11.069

Review 6.  How will artificial intelligence and bioinformatics change our understanding of IgA Nephropathy in the next decade?

Authors:  Roman David Bülow; Daniel Dimitrov; Peter Boor; Julio Saez-Rodriguez
Journal:  Semin Immunopathol       Date:  2021-04-09       Impact factor: 9.623
  6 in total

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