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1
Ethnic and regional variations in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study
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Article
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Ethnic and regional variations in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study

The Lancet Global Health, 2020-08, Vol.8 (8), p.e1018-e1026 [Peer Reviewed Journal]

2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license ;Copyright © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved. ;2020. Not withstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at http://creativecommons.org/licenses/by/4.0 ;2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license 2020 ;ISSN: 2214-109X ;EISSN: 2214-109X ;DOI: 10.1016/S2214-109X(20)30285-0 ;PMID: 32622400

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2
Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors
Material Type:
Article
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Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors

Scientific reports, 2021-08, Vol.11 (1), p.15591-15591, Article 15591 [Peer Reviewed Journal]

2021. The Author(s). ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-021-95004-8 ;PMID: 34341397

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3
Dynamic network formation with foresighted agents
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Article
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Dynamic network formation with foresighted agents

International journal of game theory, 2020-06, Vol.49 (2), p.345-384 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 0020-7276 ;EISSN: 1432-1270 ;DOI: 10.1007/s00182-020-00714-4

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4
Stochastic causal programming for bounding treatment effects
Material Type:
Conference Proceeding
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Stochastic causal programming for bounding treatment effects

Digital Resources/Online E-Resources

5
External validity of machine learning-based prognostic scores for cystic fibrosis: A retrospective study using the UK and Canadian registries
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Article
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External validity of machine learning-based prognostic scores for cystic fibrosis: A retrospective study using the UK and Canadian registries

PLOS digital health, 2023-01, Vol.2 (1), p.e0000179-e0000179 [Peer Reviewed Journal]

Copyright: © 2023 Qin 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. ;2023 Qin et al 2023 Qin et al ;ISSN: 2767-3170 ;EISSN: 2767-3170 ;DOI: 10.1371/journal.pdig.0000179 ;PMID: 36812602

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6
A Novel, Potentially Universal Machine Learning Algorithm to Predict Complications in Total Knee Arthroplasty
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Article
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A Novel, Potentially Universal Machine Learning Algorithm to Predict Complications in Total Knee Arthroplasty

Arthroplasty today, 2021-08, Vol.10, p.135-143 [Peer Reviewed Journal]

2021 The Authors ;2021 The Authors. ;2021 The Authors 2021 ;ISSN: 2352-3441 ;EISSN: 2352-3441 ;DOI: 10.1016/j.artd.2021.06.020 ;PMID: 34401416

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7
Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Primary Anatomic Total Shoulder Replacements
Material Type:
Article
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Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Primary Anatomic Total Shoulder Replacements

Journal of shoulder and elbow arthroplasty, 2022, Vol.6, p.24715492221075444-24715492221075444 [Peer Reviewed Journal]

The Author(s) 2022 ;The Author(s) 2022. ;The Author(s) 2022. This work is licensed under the Creative Commons Attribution – Non-Commercial License https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 2022 SAGE Publications Inc, unless otherwise noted. Manuscript content on this site is licensed under Creative Commons Licenses ;ISSN: 2471-5492 ;EISSN: 2471-5492 ;DOI: 10.1177/24715492221075444 ;PMID: 35669619

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8
Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants
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Article
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Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants

PloS one, 2019-05, Vol.14 (5), p.e0213653-e0213653 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Alaa 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. ;2019 Alaa et al 2019 Alaa et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0213653 ;PMID: 31091238

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9
Between-centre differences for COVID-19 ICU mortality from early data in England
Material Type:
Article
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Between-centre differences for COVID-19 ICU mortality from early data in England

Intensive care medicine, 2020-09, Vol.46 (9), p.1779-1780 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;COPYRIGHT 2020 Springer ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 0342-4642 ;EISSN: 1432-1238 ;DOI: 10.1007/s00134-020-06150-y ;PMID: 32572526

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10
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19
Material Type:
Article
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How artificial intelligence and machine learning can help healthcare systems respond to COVID-19

Machine learning, 2021-01, Vol.110 (1), p.1-14 [Peer Reviewed Journal]

The Author(s) 2020 ;The Author(s) 2020. ;The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-020-05928-x ;PMID: 33318723

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11
Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Reverse Total Shoulder Arthroplasty
Material Type:
Article
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Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Reverse Total Shoulder Arthroplasty

Journal of shoulder and elbow arthroplasty, 2021, Vol.5, p.24715492211038172-24715492211038172 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. ;The Author(s) 2021. This work is licensed under the Creative Commons Attribution – Non-Commercial License https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 2021 SAGE Publications Inc, unless otherwise noted. Manuscript content on this site is licensed under Creative Commons Licenses ;ISSN: 2471-5492 ;EISSN: 2471-5492 ;DOI: 10.1177/24715492211038172 ;PMID: 35330785

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12
CPAS: the UK’s national machine learning-based hospital capacity planning system for COVID-19
Material Type:
Article
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CPAS: the UK’s national machine learning-based hospital capacity planning system for COVID-19

Machine learning, 2021-01, Vol.110 (1), p.15-35 [Peer Reviewed Journal]

The Author(s) 2020 ;The Author(s) 2020. ;The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-020-05921-4 ;PMID: 33250568

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13
Sex-Related Differences in Heart Failure After ST-Segment Elevation Myocardial Infarction
Material Type:
Article
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Sex-Related Differences in Heart Failure After ST-Segment Elevation Myocardial Infarction

Journal of the American College of Cardiology, 2019-11, Vol.74 (19), p.2379-2389 [Peer Reviewed Journal]

2019 American College of Cardiology Foundation ;Copyright © 2019 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved. ;2019. American College of Cardiology Foundation ;ISSN: 0735-1097 ;EISSN: 1558-3597 ;DOI: 10.1016/j.jacc.2019.08.1047 ;PMID: 31699278

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14
Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation
Material Type:
Article
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Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation

PloS one, 2018-03, Vol.13 (3), p.e0194985-e0194985 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Yoon et al 2018 Yoon et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0194985 ;PMID: 29590219

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15
Retrospective cohort study of admission timing and mortality following COVID-19 infection in England
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Article
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Retrospective cohort study of admission timing and mortality following COVID-19 infection in England

BMJ open, 2020-11, Vol.10 (11), p.e042712-e042712 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. ;2020 Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2020 ;ISSN: 2044-6055 ;EISSN: 2044-6055 ;DOI: 10.1136/bmjopen-2020-042712 ;PMID: 33234660

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16
Multimedia over IP and Wireless Networks
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Book
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Multimedia over IP and Wireless Networks

ISBN: 0120884801 ;ISBN: 9780120884803 ;EISBN: 9780080474960 ;EISBN: 0080474969 ;DOI: 10.1016/B978-0-12-088480-3.X5000-0

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17
Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study
Material Type:
Article
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Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study

PLoS medicine, 2023-10, Vol.20 (10), p.e1004287-e1004287 [Peer Reviewed Journal]

Copyright: © 2023 Callender 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 2023 Public Library of Science ;2023 Callender et al 2023 Callender et al ;ISSN: 1549-1676 ;ISSN: 1549-1277 ;EISSN: 1549-1676 ;DOI: 10.1371/journal.pmed.1004287 ;PMID: 37788223

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18
Machine learning-driven identification of novel patient factors for prediction of major complications after posterior cervical spinal fusion
Material Type:
Article
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Machine learning-driven identification of novel patient factors for prediction of major complications after posterior cervical spinal fusion

European spine journal, 2022-08, Vol.31 (8), p.1952-1959 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 0940-6719 ;EISSN: 1432-0932 ;DOI: 10.1007/s00586-021-06961-7 ;PMID: 34392418

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19
Machine learning to guide the use of adjuvant therapies for breast cancer
Material Type:
Article
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Machine learning to guide the use of adjuvant therapies for breast cancer

Nature machine intelligence, 2021-08, Vol.3 (8), p.716-726 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Nature Limited 2021. ;ISSN: 2522-5839 ;EISSN: 2522-5839 ;DOI: 10.1038/s42256-021-00353-8

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20
Sex Differences in Modifiable Risk Factors and Severity of Coronary Artery Disease
Material Type:
Article
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Sex Differences in Modifiable Risk Factors and Severity of Coronary Artery Disease

Journal of the American Heart Association, 2020-10, Vol.9 (19), p.e017235-e017235 [Peer Reviewed Journal]

2020 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. ;ISSN: 2047-9980 ;EISSN: 2047-9980 ;DOI: 10.1161/JAHA.120.017235 ;PMID: 32981423

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