Machine learning in laboratory medicine: waiting for the flood?

Abstract: This review focuses on machine learning and on how methods and models combining data analytics and artificial intelligence have been applied to laboratory medicine so far. Although still in its infancy, the potential for applying machine learning to laboratory data for both diagnostic and prognostic purposes deserves more attention by the readership of this journal, as well as by physician-scientists who will want to take advantage of this new computer-based support in pathology and laboratory medicine.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Machine learning in laboratory medicine: waiting for the flood? ; volume:56 ; number:4 ; year:2018 ; pages:516-524 ; extent:9 ; Clinical chemistry and laboratory medicine ; 56, Heft 4 (2018), 516-524 (gesamt 9)

Contributors, Places and Time

• Creator: Cabitza, Federico ; Banfi, Giuseppe

Further information

• DOI: 10.1515/cclm-2017-0287
• URN: urn:nbn:de:101:1-2022060216113328180744
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:20 AM CEST