Artificial Intelligence-Based Decision Support in Laboratory Diagnostics

Alexander Scherrer (), Michael Helmling, Christian Singer, Sinan Riedel and Karl-Heinz Küfer
Additional contact information
Alexander Scherrer: Fraunhofer Institute for Industrial Mathematics (ITWM)
Michael Helmling: Fraunhofer Institute for Industrial Mathematics (ITWM)
Christian Singer: Fraunhofer Institute for Industrial Mathematics (ITWM)
Sinan Riedel: Fraunhofer Institute for Industrial Mathematics (ITWM)
Karl-Heinz Küfer: Fraunhofer Institute for Industrial Mathematics (ITWM)

A chapter in Operations Research Proceedings 2021, 2022, pp 229-235 from Springer

Abstract: Abstract This research work introduces a solution approach for detecting infectious diseases in modern laboratory diagnostics. It combines an artificial intelligence (AI)-based data analysis by means of random forest methods with decision support based on intuitive information display and suitable planning functionality. The approach thereby bridges between AI-based automation and human decision making. It is realized as a prototypical diagnostic web service and demonstrated for the example of Covid-19 and Influenza A/B detection.

Keywords: Laboratory diagnostics; Artificial intelligence; Decision support (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-08623-6_35

Ordering information: This item can be ordered from
http://www.springer.com/9783031086236

DOI: 10.1007/978-3-031-08623-6_35

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().