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Standardization of laparoscopic trays using an inventory optimization model to produce immediate cost savings and efficiency gains
Standardization of laparoscopic trays using an inventory optimization model to produce immediate cost savings and efficiency gains
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Standardization of laparoscopic trays using an inventory optimization model to produce immediate cost savings and efficiency gains

PloS one, 2022-12, Vol.17 (12), p.e0276377 [Peer Reviewed Journal]

EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0276377

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Standardization of laparoscopic trays using an inventory optimization model to produce immediate cost savings and efficiency gains
Standardization of laparoscopic trays using an inventory optimization model to produce immediate cost savings and efficiency gains
Material Type:
Article 		Add to My Research

Standardization of laparoscopic trays using an inventory optimization model to produce immediate cost savings and efficiency gains

PloS one, 2022-12, Vol.17 (12), p.e0276377-e0276377 [Peer Reviewed Journal]

Copyright: © 2022 Toor et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2022 Public Library of Science ;2022 Toor et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 Toor et al 2022 Toor et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0276377 ;PMID: 36580456

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Machine learning models can predict subsequent publication of North American Spine Society (NASS) annual general meeting abstracts
Machine learning models can predict subsequent publication of North American Spine Society (NASS) annual general meeting abstracts
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Machine learning models can predict subsequent publication of North American Spine Society (NASS) annual general meeting abstracts

PloS one, 2023-08, Vol.18 (8), p.e0289931-e0289931 [Peer Reviewed Journal]

COPYRIGHT 2023 Public Library of Science ;2023 Abbas et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 Abbas et al 2023 Abbas et al ;2023 Abbas et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0289931 ;PMID: 37607198

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Machine learning models can predict subsequent publication of North American Spine Society
Machine learning models can predict subsequent publication of North American Spine Society
Material Type:
Article 		Add to My Research

Machine learning models can predict subsequent publication of North American Spine Society

PloS one, 2023-08, Vol.18 (8), p.e0289931 [Peer Reviewed Journal]

COPYRIGHT 2023 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0289931

Full text available

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