一种机器学习决策支持工具优化了新生儿重症监护病房中全基因组测序的应用。 - Suppr

A Machine Learning Decision Support Tool Optimizes Whole Genome Sequencing Utilization in a Neonatal Intensive Care Unit.

作者信息

Juarez Edwin F, Peterson Bennet, Kobayashi Erica Sanford, Gilmer Sheldon, Tobin Laura E, Schultz Brandan, Lenberg Jerica, Carroll Jeanne, Bai-Tong Shiyu, Sweeney Nathaly M, Beebe Curtis, Stewart Lawrence, Olsen Lauren, Reinke Julie, Kiernan Elizabeth A, Reimers Rebecca, Wigby Kristen, Tackaberry Chris, Yandell Mark, Hobbs Charlotte, Bainbridge Matthew N

出版信息

medRxiv. 2024 Jul 7:2024.07.05.24310008. doi: 10.1101/2024.07.05.24310008.

DOI:10.1101/2024.07.05.24310008

PMID:39006422

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11245077/

Abstract

摘要

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The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review.

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Enriching representation learning using 53 million patient notes through human phenotype ontology embedding.

Artif Intell Med. 2023 May;139:102523. doi: 10.1016/j.artmed.2023.102523. Epub 2023 Feb 28.

Automated prioritization of sick newborns for whole genome sequencing using clinical natural language processing and machine learning.

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A Machine Learning Decision Support Tool Optimizes Whole Genome Sequencing Utilization in a Neonatal Intensive Care Unit.

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A Machine Learning Decision Support Tool Optimizes Whole Genome Sequencing Utilization in a Neonatal Intensive Care Unit.

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