A Machine Learning Decision Support Tool Optimizes Whole Genome Sequencing Utilization in a Neonatal Intensive Care Unit.
Journal
medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986
Informations de publication
Date de publication:
07 Jul 2024
07 Jul 2024
Historique:
medline:
15
7
2024
pubmed:
15
7
2024
entrez:
15
7
2024
Statut:
epublish
Résumé
The Mendelian Phenotype Search Engine (MPSE), a clinical decision support tool using Natural Language Processing and Machine Learning, helped neonatologists expedite decisions to whole genome sequencing (WGS) to diagnose patients in the Neonatal Intensive Care Unit. After the MPSE was introduced, utilization of WGS increased, time to ordering WGS decreased, and WGS diagnostic yield increased.
Identifiants
pubmed: 39006422
doi: 10.1101/2024.07.05.24310008
pmc: PMC11245077
pii:
doi:
Types de publication
Journal Article
Preprint
Langues
eng