Article

Automated Prioritization of Sick Newborns for Whole Genome Sequencing Using Clinical Natural Language Processing and Machine Learning

2022-05-10

Abstract excerpt

<h4>Background</h4> Rapidly and efficiently identifying critically ill infants for WGS is a costly and challenging task currently performed by scarce, highly trained experts, and is a major bottleneck for application of WGS in the NICU. Automated means to prioritize patients for WGS are thus badly needed. <h4>Methods</h4> Institutional databases of Electronic Health Records (EHRs) are logical starting points for i...

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Literature Corpus work: 81ce46fd-a895-52c3-92f4-fac1b6125fee
DOI: 10.1101/2022.05.06.22274688

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