Machine Learning for Clinical Chemists
Clin Chem
.
2019 Nov;65(11):1350-1356.
doi: 10.1373/clinchem.2019.307512.
Epub 2019 Sep 24.
Authors
Tony Badrick
1
,
Giuseppe Banfi
2
3
,
Andreas Bietenbeck
4
,
Mark A Cervinski
5
6
,
Tze Ping Loh
7
,
Ken Sikaris
8
Affiliations
1
Chief Executive Officer, RCPA Quality Assurance Programs, St. Leonards, Sydney, Australia; tony.badrick@rcpaqap.com.au.
2
Scientific Director, IRCCS Orthopedic Institute Galeazzi, Milan, Italy.
3
Università Vita e Salute San Raffaele, Milan, Italy.
4
Institut für Klinische Chemie und Pathobiochemie, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
5
Director of Clinical Chemistry, Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
6
Associate Professor of Pathology and Laboratory Medicine, The Geisel School of Medicine at Dartmouth, Hanover, NH.
7
Consultant Chemical Pathologist, National University Hospital, Singapore.
8
Director Clinical Support Systems, Sonic Healthcare IT, Melbourne, Victoria, Australia.
PMID:
31551313
DOI:
10.1373/clinchem.2019.307512
No abstract available
Publication types
Interview
MeSH terms
Chemistry, Clinical / methods*
Chemistry, Clinical / trends
Clinical Laboratory Services / statistics & numerical data
Humans
Machine Learning* / ethics