A pipeline for the fully automated estimation of continuous reference intervals using real-world data Article Swipe

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Tatjana Ammer , André Schützenmeister , Hans‐Ulrich Prokosch , Manfred Rauh , Christopher M. Rank , Jakob Zierk ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1038/s41598-023-40561-3

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Pipeline (software) Percentile Computer science Covariate Reference data Reference model Data mining Reference values Interval (graph theory) Calipers Dependency (UML) Statistics Mathematics Artificial intelligence Machine learning Software engineering Internal medicine Geometry Combinatorics Medicine Programming language

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Type: article
Language: en
Landing Page: https://doi.org/10.1038/s41598-023-40561-3
PDF: https://www.nature.com/articles/s41598-023-40561-3.pdf
OA Status: gold
Cited By: 8
References: 39
Related Works: 10
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DOI: https://doi.org/10.1038/s41598-023-40561-3

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Title: A pipeline for the fully automated estimation of continuous reference intervals using real-world data

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Type: article

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Language: en

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Publication year: 2023

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Publication date: 2023-08-18

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Authors: Tatjana Ammer, André Schützenmeister, Hans‐Ulrich Prokosch, Manfred Rauh, Christopher M. Rank, Jakob Zierk

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Landing page: https://doi.org/10.1038/s41598-023-40561-3

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Concepts: Pipeline (software), Percentile, Computer science, Covariate, Reference data, Reference model, Data mining, Reference values, Interval (graph theory), Calipers, Dependency (UML), Statistics, Mathematics, Artificial intelligence, Machine learning, Software engineering, Internal medicine, Geometry, Combinatorics, Medicine, Programming language

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Cited by: 8

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Citations by year (recent): 2025: 5, 2024: 2, 2023: 1

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