433 lines
13 KiB
BibTeX
433 lines
13 KiB
BibTeX
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@article{verboeket-vandevenne2012,
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title = {Reflective testing: adding value to laboratory testing},
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author = {Verboeket-van de Venne, Wilhelmine P.H.G. and Aakre, Kristin M. and Watine, Joseph and Oosterhuis, Wytze P.},
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year = {2012},
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month = {07},
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date = {2012-07-01},
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journal = {Clinical Chemistry and Laboratory Medicine (CCLM)},
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pages = {1249--1252},
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volume = {50},
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number = {7},
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doi = {10.1515/cclm-2011-0611},
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url = {https://www.degruyter.com/document/doi/10.1515/cclm-2011-0611/html},
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langid = {en}
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}
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@article{srivastava2010,
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title = {Reflex and reflective testing: efficiency and effectiveness of adding on laboratory tests},
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author = {Srivastava, Rajeev and Bartlett, William A and Kennedy, Ian M and Hiney, Allan and Fletcher, Colin and Murphy, Michael J},
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year = {2010},
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month = {05},
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date = {2010-05-01},
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journal = {Annals of Clinical Biochemistry},
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pages = {223--227},
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volume = {47},
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number = {3},
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doi = {10.1258/acb.2010.009282},
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url = {https://doi.org/10.1258/acb.2010.009282},
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note = {Publisher: SAGE Publications},
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langid = {en}
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}
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@article{murphy2021,
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title = {Reflex and reflective testing: progress, but much still to be done},
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author = {Murphy, Michael J},
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year = {2021},
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month = {03},
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date = {2021-03},
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journal = {Annals of Clinical Biochemistry},
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pages = {75--77},
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volume = {58},
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number = {2},
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doi = {10.1177/0004563221993153},
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url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961679/},
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note = {PMID: 33478239
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PMCID: PMC7961679}
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}
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@misc{americanmedicalassociation2021,
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title = {Trends in health care spending},
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author = {American Medical Association, },
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year = {2021},
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month = {05},
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date = {2021-05},
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url = {https://www.ama-assn.org/about/research/trends-health-care-spending},
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langid = {en}
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}
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@article{ma2019,
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title = {Estimated costs of 51 commonly ordered laboratory tests in Canada},
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author = {Ma, Irene and Lau, Cheryl K. and Ramdas, Zane and Jackson, Rhonda and Naugler, Christopher},
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year = {2019},
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month = {03},
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date = {2019-03-01},
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journal = {Clinical Biochemistry},
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pages = {58--60},
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volume = {65},
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doi = {10.1016/j.clinbiochem.2018.12.013},
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url = {https://www.sciencedirect.com/science/article/pii/S0009912018310543},
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langid = {en}
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}
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@article{hernandez2003,
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title = {Cost-Effectiveness of Laboratory Testing},
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author = {Hernandez, James S.},
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year = {2003},
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month = {04},
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date = {2003-04-01},
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journal = {Archives of Pathology & Laboratory Medicine},
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pages = {440--445},
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volume = {127},
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number = {4},
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doi = {10.5858/2003-127-0440-COLT},
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url = {https://doi.org/10.5858/2003-127-0440-COLT}
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}
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@article{li2022,
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title = {External Validation of a Laboratory Prediction Algorithm for the Reduction of Unnecessary Labs in the Critical Care Setting},
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author = {Li, Linda T. and Huang, Tongtong and Bernstam, Elmer V. and Jiang, Xiaoqian},
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year = {2022},
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month = {01},
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date = {2022-01-31},
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journal = {The American Journal of Medicine},
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doi = {10.1016/j.amjmed.2021.12.020},
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url = {https://www.sciencedirect.com/science/article/pii/S0002934322000481},
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langid = {en}
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}
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@article{plebani2020,
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title = {Reflex TSH strategy: the good, the bad and the ugly},
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author = {Plebani, Mario and Giovanella, Luca},
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year = {2020},
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month = {01},
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date = {2020-01-01},
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journal = {Clinical Chemistry and Laboratory Medicine (CCLM)},
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pages = {1--2},
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volume = {58},
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number = {1},
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doi = {10.1515/cclm-2019-0625},
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url = {https://www.degruyter.com/document/doi/10.1515/cclm-2019-0625/html?lang=en},
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note = {Publisher: De Gruyter},
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langid = {en}
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}
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@article{whitneyw.woodmansee2018,
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title = {Determination of optimal TSH ranges for reflex Free T4 testing},
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author = {Whitney W. Woodmansee, },
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year = {2018},
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month = {02},
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date = {2018-02},
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journal = {Clinical Thyroidology for the Public},
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pages = {3--4},
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volume = {11},
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number = {2},
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url = {https://www.thyroid.org/patient-thyroid-information/ct-for-patients/february-2018/vol-11-issue-2-p-3-4/},
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langid = {canadian}
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}
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@misc{charnaalbert2020,
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title = {Can machine learning algorithms predict lab values?},
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author = {Charna Albert, },
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year = {2020},
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month = {02},
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date = {2020-02-18},
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url = {https://www.captodayonline.com/can-machine-learning-algorithms-predict-lab-values/},
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langid = {canadian}
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}
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@article{rabbani2022,
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title = {Applications of machine learning in routine laboratory medicine: Current state and future directions},
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author = {Rabbani, Naveed and Kim, Grace Y. E. and Suarez, Carlos J. and Chen, Jonathan H.},
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year = {2022},
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month = {05},
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date = {2022-05-01},
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journal = {Clinical Biochemistry},
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pages = {1--7},
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volume = {103},
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doi = {10.1016/j.clinbiochem.2022.02.011},
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url = {https://www.sciencedirect.com/science/article/pii/S0009912022000595},
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langid = {en}
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}
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@article{cabitza2018,
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title = {Machine learning in laboratory medicine: waiting for the flood?},
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author = {Cabitza, Federico and Banfi, Giuseppe},
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year = {2018},
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month = {04},
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date = {2018-04-01},
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journal = {Clinical Chemistry and Laboratory Medicine (CCLM)},
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pages = {516--524},
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volume = {56},
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number = {4},
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doi = {10.1515/cclm-2017-0287},
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url = {https://www.degruyter.com/document/doi/10.1515/cclm-2017-0287/html},
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note = {Publisher: De Gruyter},
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langid = {en}
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}
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@article{debruyne2021,
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title = {Recent evolutions of machine learning applications in clinical laboratory medicine},
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author = {De Bruyne, Sander and Speeckaert, Marijn M. and Van Biesen, Wim and Delanghe, Joris R.},
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year = {2021},
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month = {02},
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date = {2021-02-17},
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journal = {Critical Reviews in Clinical Laboratory Sciences},
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pages = {131--152},
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volume = {58},
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number = {2},
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doi = {10.1080/10408363.2020.1828811},
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url = {https://doi.org/10.1080/10408363.2020.1828811},
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note = {Publisher: Taylor & Francis
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{\_}eprint: https://doi.org/10.1080/10408363.2020.1828811
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PMID: 33045173}
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}
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@book{boehmke2020,
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title = {Hands-On Machine Learning with R},
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author = {Boehmke, Bradley and Greenwell, Brandon},
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year = {2020},
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month = {02},
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date = {2020-02-01},
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url = {https://bradleyboehmke.github.io/HOML/}
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}
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@book{géron2019,
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title = {Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: concepts, tools, and techniques to build intelligent systems},
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author = {{Géron}, {Aurélien}},
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year = {2019},
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date = {2019},
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publisher = {O'Reilly Media, Inc},
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edition = {Second edition},
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address = {Beijing [China] ; Sebastopol, CA}
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}
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@article{breiman2001,
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title = {Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)},
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author = {Breiman, Leo},
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year = {2001},
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month = {08},
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date = {2001-08-01},
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journal = {Statistical Science},
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volume = {16},
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number = {3},
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doi = {10.1214/ss/1009213726},
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url = {http://dx.doi.org/10.1214/ss/1009213726}
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}
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@article{woodmansee2018,
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title = {Determination of optimal TSH ranges for reflex Free T4 testing},
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author = {Woodmansee, Whitney W.},
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year = {2018},
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month = {02},
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date = {2018-02},
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journal = {Clinical Thyroidology for the Public},
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pages = {3--4},
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volume = {11},
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number = {2},
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url = {https://www.thyroid.org/patient-thyroid-information/ct-for-patients/february-2018/vol-11-issue-2-p-3-4/},
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langid = {canadian}
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}
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@article{berger1999,
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title = {A brief history of medical diagnosis and the birth of the clinical laboratory: Part 2--laboratory science and professional certification in the 20th century},
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author = {Berger, Darlene},
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year = {1999},
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month = {08},
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date = {1999-08},
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journal = {Medical Laboratory Observer: MLO},
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pages = {32--4, 36, 38},
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volume = {31},
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number = {8},
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url = {https://www.proquest.com/docview/223382876/citation/57E18BE0383F41C4PQ/1},
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note = {Num Pages: 5
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Place: Nashville, United States
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Publisher: Endeavor Business Media},
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langid = {English}
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}
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@article{park2017,
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title = {One hundred years of clinical laboratory automation: 1967{\textendash}2067},
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author = {Park, Jason Y. and Kricka, Larry J.},
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year = {2017},
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month = {08},
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date = {2017-08-01},
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journal = {Clinical Biochemistry},
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pages = {639--644},
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volume = {50},
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number = {12},
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doi = {10.1016/j.clinbiochem.2017.03.004},
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url = {https://www.sciencedirect.com/science/article/pii/S0009912016303319},
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langid = {en}
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}
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@article{henricks2015,
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title = {Laboratory Information Systems},
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author = {Henricks, Walter H.},
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year = {2015},
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month = {06},
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date = {2015-06},
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journal = {Surgical Pathology Clinics},
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pages = {101--108},
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volume = {8},
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number = {2},
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doi = {10.1016/j.path.2015.02.016},
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url = {https://linkinghub.elsevier.com/retrieve/pii/S1875918115000343},
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langid = {en}
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}
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@article{henricks2015,
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title = {Laboratory Information Systems},
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author = {Henricks, Walter H.},
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year = {2015},
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month = {06},
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date = {2015-06},
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journal = {Surgical Pathology Clinics},
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pages = {101--108},
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volume = {8},
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number = {2},
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doi = {10.1016/j.path.2015.02.016},
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url = {https://linkinghub.elsevier.com/retrieve/pii/S1875918115000343},
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langid = {en}
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}
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@article{johnsonalistair,
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title = {MIMIC-IV},
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author = {{Johnson, Alistair}, and {Bulgarelli, Lucas}, and {Pollard, Tom}, and {Horng, Steven}, and {Celi, Leo Anthony}, and {Mark, Roger}, },
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doi = {10.13026/S6N6-XD98},
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url = {https://physionet.org/content/mimiciv/1.0/},
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note = {Version Number: 1.0
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Type: dataset
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DOI: 10.13026/S6N6-XD98}
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}
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@article{liaw2002,
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title = {Classi{fi}cation and Regression by randomForest},
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author = {Liaw, Andy and Wiener, Matthew},
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volume = {2},
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langid = {en}
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}
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@article{breiman2001a,
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author = {Breiman, Leo},
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year = {2001},
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}
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@inproceedings{chen2016,
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title = {XGBoost: A Scalable Tree Boosting System},
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author = {Chen, Tianqi and Guestrin, Carlos},
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url = {https://dl.acm.org/doi/10.1145/2939672.2939785},
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@article{luo2016,
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title = {Using Machine Learning to Predict Laboratory Test Results},
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@article{greenwell2020,
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title = {Variable Importance Plots{\textemdash}An Introduction to the vip Package},
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@misc{newyorkstatedepartmentofhealth,
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title = {Disease Screening - Statistics Teaching Tools - New York State Department of Health},
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author = {New York State Department of Health, },
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@article{xu2019,
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title = {Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests},
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year = {2019},
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journal = {JAMA Network Open},
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url = {https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2749559},
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langid = {en}
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}
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