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Material Type: Article
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A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction modelsJournal of clinical epidemiology, 2019-06, Vol.110, p.12-22 [Peer Reviewed Journal]2019 Elsevier Inc. ;Copyright © 2019 Elsevier Inc. All rights reserved. ;2019. Elsevier Inc. ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2019.02.004 ;PMID: 30763612Full text available |
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Material Type: Article
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Correction: External validation of risk prediction models for incident colorectal cancer using UK BiobankBritish journal of cancer, 2020-05, Vol.122 (10), p.1572-1575 [Peer Reviewed Journal]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. ;The Author(s) 2020 ;ISSN: 0007-0920 ;EISSN: 1532-1827 ;DOI: 10.1038/s41416-020-0767-0 ;PMID: 32203217Full text available |
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Calibration: the Achilles heel of predictive analyticsBMC medicine, 2019-12, Vol.17 (1), p.230-230, Article 230 [Peer Reviewed Journal]COPYRIGHT 2019 BioMed Central Ltd. ;COPYRIGHT 2019 BioMed Central Ltd. ;2019. This work is licensed 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). 2019 ;ISSN: 1741-7015 ;EISSN: 1741-7015 ;DOI: 10.1186/s12916-019-1466-7 ;PMID: 31842878Full text available |
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Material Type: Article
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Development and reporting of prediction models: guidance for authors from editors of respiratory, sleep, and critical care journalsCopyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), http://creativecommons.org/licenses/by-nc-nd/4.0/, where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess ;ISSN: 0090-3493 ;EISSN: 1530-0293 ;DOI: 10.1097/CCM.0000000000004246Digital Resources/Online E-Resources |
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Material Type: Article
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TCT-706 Can Clinical Predictive Models Identify Patients Who Should Not Receive TAVR?Journal of the American College of Cardiology, 2019-10, Vol.74 (13), p.B693-B693 [Peer Reviewed Journal]2019 ;Copyright Elsevier Limited Oct 1, 2019 ;ISSN: 0735-1097 ;EISSN: 1558-3597 ;DOI: 10.1016/j.jacc.2019.08.836Full text available |
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Material Type: Article
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Prediction Model of Elastic Load Resource Regulation Potential under Hierarchical and Partitioned Dynamic Control ArchitectureJournal of physics. Conference series, 2022-08, Vol.2331 (1), p.12014 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2331/1/012014Full text available |
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Material Type: Article
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Effective Heart Disease Prediction Using Hybrid Machine Learning TechniquesIEEE access, 2019, Vol.7, p.81542-81554 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2923707 ;CODEN: IAECCGFull text available |
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Material Type: Article
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Author Correction: Estimate the hidden deployment cost of predictive models to improve patient careNature medicine, 2020-05, Vol.26 (5), p.803-803 [Peer Reviewed Journal]COPYRIGHT 2020 Nature Publishing Group ;COPYRIGHT 2020 Nature Publishing Group ;Springer Nature America, Inc. 2020. ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-020-0862-z ;PMID: 32291415Full text available |
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Material Type: Article
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Author Correction: Development and validation of a risk prediction model for work disability: multicohort studyScientific reports, 2018-11, Vol.8 (1), p.17224-1, Article 17224 [Peer Reviewed Journal]2018. 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) 2018 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-018-35363-x ;PMID: 30442992Full text available |
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Material Type: Article
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Retraction: Time Series Decomposition using Automatic Learning Techniques for Predictive Models (Journal of Physics: Conference Series 1432 012096)Journal of physics. Conference series, 2020-09, Vol.1432 (1), p.12111 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1432/1/012111Full text available |
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Material Type: Article
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Machine-learning predictions of polymer properties with Polymer GenomeJournal of applied physics, 2020-11, Vol.128 (17) [Peer Reviewed Journal]Author(s) ;2020 Author(s). Published under license by AIP Publishing. ;ISSN: 0021-8979 ;EISSN: 1089-7550 ;DOI: 10.1063/5.0023759 ;CODEN: JAPIAUFull text available |
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Material Type: Article
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A data plane security model of segmented routing based on SDP trust enhancement architectureScientific reports, 2022-05, Vol.12 (1), p.8762-8762, Article 8762 [Peer Reviewed Journal]2022. The Author(s). ;The Author(s) 2022. 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) 2022 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-12858-2 ;PMID: 35610296Full text available |
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Material Type: Article
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A guide to machine learning for biologistsNature reviews. Molecular cell biology, 2022-01, Vol.23 (1), p.40-55 [Peer Reviewed Journal]2021. Springer Nature Limited. ;Springer Nature Limited 2021. ;ISSN: 1471-0072 ;EISSN: 1471-0080 ;DOI: 10.1038/s41580-021-00407-0 ;PMID: 34518686Full text available |
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Material Type: Article
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Calculating the sample size required for developing a clinical prediction modelBMJ (Online), 2020-03, Vol.368, p.m441-m441 [Peer Reviewed Journal]Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to ;Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go tohttp://group.bmj.com/group/rights-licensing/permissions2020BMJ ;ISSN: 1756-1833 ;EISSN: 1756-1833 ;DOI: 10.1136/bmj.m441 ;PMID: 32188600Full text available |
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Material Type: Article
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Penalization and shrinkage methods produced unreliable clinical prediction models especially when sample size was smallJournal of clinical epidemiology, 2021-04, Vol.132, p.88-96 [Peer Reviewed Journal]2021 The Authors ;Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved. ;2021. The Authors ;2021 The Authors 2021 ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2020.12.005 ;PMID: 33307188Full text available |
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16 |
Material Type: Article
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TCTAP A-001 A Novel Atrial Fibrillation Prediction Model for Asian Subjects - A Nationwide Cohort StudyJournal of the American College of Cardiology, 2019-04, Vol.73 (15), p.S1-S1 [Peer Reviewed Journal]2019 ;Copyright Elsevier Limited Apr 23, 2019 ;ISSN: 0735-1097 ;EISSN: 1558-3597 ;DOI: 10.1016/j.jacc.2019.03.026Full text available |
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17 |
Material Type: Article
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External validation of clinical prediction models: simulation-based sample size calculations were more reliable than rules-of-thumbJournal of clinical epidemiology, 2021-07, Vol.135, p.79-89 [Peer Reviewed Journal]2021 The Authors ;Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved. ;2021. The Authors ;2021 The Authors 2021 ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2021.02.011 ;PMID: 33596458Full text available |
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18 |
Material Type: Article
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Machine learning small molecule properties in drug discoveryArtificial intelligence chemistry, 2023-12, Vol.1 (2), p.100020 [Peer Reviewed Journal]EISSN: 2949-7477 ;DOI: 10.1016/j.aichem.2023.100020Digital Resources/Online E-Resources |
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Material Type: Article
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Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies in medical imagingBMJ (Online), 2020-03, Vol.368 [Peer Reviewed Journal]Author(s) (or their employer(s)) 2019. 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)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. BMJ 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 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. ;EISSN: 1756-1833 ;DOI: 10.1136/bmj.m689Full text available |
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20 |
Material Type: Article
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Missing data should be handled differently for prediction than for description or causal explanationJournal of clinical epidemiology, 2020-09, Vol.125, p.183-187 [Peer Reviewed Journal]2020 Elsevier Inc. ;Copyright © 2020 Elsevier Inc. All rights reserved. ;2020. Elsevier Inc. ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2020.03.028 ;PMID: 32540389Full text available |