Back to search

Article

NeoGx: Machine Learning to Predict Genetic Evaluation Need in the Level IV NICU

2024-06-25

Abstract excerpt

<h4> ABSTRACT </h4> <h4>Objective</h4> Genetic disease is common in Level IV Neonatal Intensive Care Units (NICUs), yet clinicians often struggle to identify infants who would benefit from genetic evaluation. We developed and validated NeoGx, a machine learning (ML) algorithm using electronic health record (EHR) data to predict, early in the NICU stay, which neonates will require genetic evaluation within 18 mo...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
770cf1dc-6d88-5dbf-aeae-f5ad04a4b7d5
DOI
10.1101/2024.06.24.24309403
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
NeoGx: Machine Learning to Predict Genetic Evaluation Need in the Level IV NICUDOI 10.1101/2024.06.24.24309403
Select a neighboring publication to make it the new centre.