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A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit
1
Zitationen
21
Autoren
2025
Jahr
Abstract
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.
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Autoren
- Edwin F. Juarez
- Bennet Peterson
- Erica Sanford Kobayashi
- Sheldon Gilmer
- Laura E. Tobin
- Brandan Schultz
- Jerica Lenberg
- Jeanne Carroll
- Shiyu S. Bai-Tong
- Nathaly M. Sweeney
- Curtis Beebe
- Lawrence Stewart
- L. Olsen
- J Reinke
- Elizabeth Kiernan
- Rebecca Reimers
- Kristen Wigby
- Chris Tackaberry
- Mark Yandell
- Charlotte V. Hobbs
- Matthew N. Bainbridge