Machine Learning in Laboratory Medicine: Recommendations of the IFCC Working Group.
Saved in:
| Title: | Machine Learning in Laboratory Medicine: Recommendations of the IFCC Working Group. |
|---|---|
| Authors: | Master SR; Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States., Badrick TC; Royal College of Pathologists of Australasia Quality Assurance Programs, Sydney, Australia., Bietenbeck A; MVZ Ärztliche Laboratorien München-Land GmbH, Poing, Germany., Haymond S; Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, United States.; Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States. |
| Source: | Clinical chemistry [Clin Chem] 2023 Jul 05; Vol. 69 (7), pp. 690-698. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9421549 Publication Model: Print Cited Medium: Internet ISSN: 1530-8561 (Electronic) Linking ISSN: 00099147 NLM ISO Abbreviation: Clin Chem Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1530-8561 |
|---|---|
| DOI: | 10.1093/clinchem/hvad055 |
