A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit

A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit

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 intro...

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Bibliographic Details
Main Authors: Edwin F. Juarez, Bennet Peterson, Erica Sanford Kobayashi, Sheldon Gilmer, Laura E. Tobin, Brandan Schultz, Jerica Lenberg, Jeanne Carroll, Shiyu Bai-Tong, Nathaly M. Sweeney, Curtis Beebe, Lawrence Stewart, Lauren Olsen, Julie Reinke, Elizabeth A. Kiernan, Rebecca Reimers, Kristen Wigby, Chris Tackaberry, Mark Yandell, Charlotte Hobbs, Matthew N. Bainbridge
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01458-9

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https://doi.org/10.1038/s41746-025-01458-9

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