Fuzzy Matchmaking: How Two Records Became One
- PMID: 32890090
- DOI: 10.1097/PCC.0000000000002392
Fuzzy Matchmaking: How Two Records Became One
Comment on
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Joining Datasets Without Identifiers: Probabilistic Linkage of Virtual Pediatric Systems and PEDSnet.Pediatr Crit Care Med. 2020 Sep;21(9):e628-e634. doi: 10.1097/PCC.0000000000002380. Pediatr Crit Care Med. 2020. PMID: 32511201
References
-
- Thompson N. How Facebook Checks Facts and Polices Hate Speech. 2018. Available at: https://www.wired.com/story/how-facebook-checks-facts-and-polices-hate-s.... Accessed November 2, 2020
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- Cook JA, Collins GS. The rise of big clinical databases. Br J Surg 2015; 102:e93–e101
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- Bennett TD, Spaeder MC, Matos RI, et al.; Pediatric Acute Lung Injury and Sepsis Investigators (PALISI): Existing data analysis in pediatric critical care research. Front Pediatr 2014; 2:79
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- Bennett TD, Callahan TJ, Feinstein JA, et al. Data science for child health. J Pediatr 2019; 208:12–22
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- Gupta P, Richardson T, Hall M, et al. Effect of inhaled nitric oxide on outcomes in children with acute lung injury: Propensity matched analysis from a linked database. Crit Care Med 2016; 44:1901–1909
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