Informatics and Statistics

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Answering Unanswerable Questions in the Clinical Laboratory with Data Warehouses
Ronald Jackups

Clinical Chemistry Dec 2019, 65 (12) 1471-1473; DOI: 10.1373/clinchem.2019.311654
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Discovering Cross-Reactivity in Urine Drug Screening Immunoassays through Large-Scale Analysis of Electronic Health Records
Jacob J. Hughey, Jennifer M. Colby

Clinical Chemistry Dec 2019, 65 (12) 1522-1531; DOI: 10.1373/clinchem.2019.305409
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A Bayesian Approach to Biological Variation Analysis
Thomas Røraas, Sverre Sandberg, Aasne K. Aarsand, Bård Støve

Clinical Chemistry Aug 2019, 65 (8) 995-1005; DOI: 10.1373/clinchem.2018.300145
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Can Mendelian Randomization Shift into Reverse Gear?
Michael V. Holmes, George Davey Smith

Clinical Chemistry Mar 2019, 65 (3) 363-366; DOI: 10.1373/clinchem.2018.296806
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Machine Learning in Clinical Pathology: Seeing the Forest for the Trees
Ramy Arnaout

Clinical Chemistry Nov 2018, 64 (11) 1553-1554; DOI: 10.1373/clinchem.2018.295121
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Using Machine Learning to Aid the Interpretation of Urine Steroid Profiles
Edmund H. Wilkes, Gill Rumsby, Gary M. Woodward

Clinical Chemistry Nov 2018, 64 (11) 1586-1595; DOI: 10.1373/clinchem.2018.292201
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Starting Is Half
Sterling T. Bennett

Clinical Chemistry Mar 2018, 64 (3) 427-428; DOI: 10.1373/clinchem.2017.284398
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Deep Learning Makes Its Way to the Clinical Laboratory
Ronald Jackups

Clinical Chemistry Dec 2017, 63 (12) 1790-1791; DOI: 10.1373/clinchem.2017.280768
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Very Deep Convolutional Neural Networks for Morphologic Classification of Erythrocytes
Thomas J.S. Durant, Eben M. Olson, Wade L. Schulz, Richard Torres

Clinical Chemistry Dec 2017, 63 (12) 1847-1855; DOI: 10.1373/clinchem.2017.276345
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Cerebrospinal Fluid Total Protein Reference Intervals Derived from 20 Years of Patient Data
Christopher R. McCudden, John Brooks, Priya Figurado, Pierre R. Bourque

Clinical Chemistry Dec 2017, 63 (12) 1856-1865; DOI: 10.1373/clinchem.2017.278267

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