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Life Sciences & Biomedicine
| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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| 1 |
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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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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 |
| 3 |
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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 |
| 4 |
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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 |
| 5 |
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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 |
| 6 |
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Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and ValidationJournal of medical Internet research, 2020-11, Vol.22 (11), p.e23128-e23128 [Peer Reviewed Journal]Pan Pan, Yichao Li, Yongjiu Xiao, Bingchao Han, Longxiang Su, Mingliang Su, Yansheng Li, Siqi Zhang, Dapeng Jiang, Xia Chen, Fuquan Zhou, Ling Ma, Pengtao Bao, Lixin Xie. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 11.11.2020. ;Copyright Gunther Eysenbach MD MPH, Associate Professor Nov 2020 ;Pan Pan, Yichao Li, Yongjiu Xiao, Bingchao Han, Longxiang Su, Mingliang Su, Yansheng Li, Siqi Zhang, Dapeng Jiang, Xia Chen, Fuquan Zhou, Ling Ma, Pengtao Bao, Lixin Xie. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 11.11.2020. 2020 ;ISSN: 1438-8871 ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/23128 ;PMID: 33035175Full text available |
| 7 |
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There is no such thing as a validated prediction modelBMC medicine, 2023-02, Vol.21 (1), p.70-70, Article 70 [Peer Reviewed Journal]2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;2023. 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. ;ISSN: 1741-7015 ;EISSN: 1741-7015 ;DOI: 10.1186/s12916-023-02779-w ;PMID: 36829188Full text available |
| 8 |
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 |
| 9 |
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 |
| 10 |
Material Type: Article
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Obtaining genetics insights from deep learning via explainable artificial intelligenceNature reviews. Genetics, 2023-02, Vol.24 (2), p.125-137 [Peer Reviewed Journal]2022. Springer Nature Limited. ;Springer Nature Limited 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1471-0056 ;EISSN: 1471-0064 ;DOI: 10.1038/s41576-022-00532-2 ;PMID: 36192604Full text available |
| 11 |
Material Type: Article
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Prediction of remission in pharmacotherapy of untreated major depression: development and validation of multivariable prediction modelsPsychological medicine, 2019-10, Vol.49 (14), p.2405-2413 [Peer Reviewed Journal]Copyright © Cambridge University Press 2018 ;2018 This article is published under (http://creativecommons.org/licenses/by-nc-nd/3.0/) (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Cambridge University Press 2018 2018 Cambridge University Press ;ISSN: 0033-2917 ;EISSN: 1469-8978 ;DOI: 10.1017/S0033291718003331 ;PMID: 30430961Full text available |
| 12 |
Material Type: Article
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External validation of prognostic models: what, why, how, when and where?Clinical Kidney Journal, 2021-01, Vol.14 (1), p.49-58 [Peer Reviewed Journal]The Author(s) 2020. Published by Oxford University Press on behalf of ERA-EDTA. 2020 ;The Author(s) 2020. Published by Oxford University Press on behalf of ERA-EDTA. ;COPYRIGHT 2021 Oxford University Press ;ISSN: 2048-8505 ;EISSN: 2048-8513 ;DOI: 10.1093/ckj/sfaa188 ;PMID: 33564405Full text available |
| 13 |
Material Type: Article
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Dynamic prediction models improved the risk classification of type 2 diabetes compared with classical static modelsJournal of clinical epidemiology, 2021-12, Vol.140, p.33-43 [Peer Reviewed Journal]2021 ;Copyright © 2021. Published by Elsevier Inc. ;Copyright Elsevier Limited Dec 2021 ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2021.08.026 ;PMID: 34455032Full text available |
| 14 |
Material Type: Article
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Risk factors and risk prediction models for colorectal cancer metastasis and recurrence: an umbrella review of systematic reviews and meta-analyses of observational studiesBMC medicine, 2020-06, Vol.18 (1), p.172-172, Article 172 [Peer Reviewed Journal]COPYRIGHT 2020 BioMed Central Ltd. ;COPYRIGHT 2020 BioMed Central Ltd. ;2020. 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) 2020 ;ISSN: 1741-7015 ;EISSN: 1741-7015 ;DOI: 10.1186/s12916-020-01618-6 ;PMID: 32586325Full text available |
| 15 |
Material Type: Article
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Application of an enhanced BP neural network model with water cycle algorithm on landslide predictionStochastic environmental research and risk assessment, 2021-06, Vol.35 (6), p.1273-1291 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-020-01920-yFull text available |
| 16 |
Material Type: Article
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Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID‐19) implicate special control measuresJournal of Medical Virology, 2020-06, Vol.92 (6) [Peer Reviewed Journal]2020. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://novel-coronavirus.onlinelibrary.wiley.com ;DOI: 10.1002/jmv.25748Digital Resources/Online E-Resources |
| 17 |
Material Type: Article
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Prediction meets causal inference: the role of treatment in clinical prediction modelsEuropean journal of epidemiology, 2020-07, Vol.35 (7), p.619-630 [Peer Reviewed Journal]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: 0393-2990 ;EISSN: 1573-7284 ;DOI: 10.1007/s10654-020-00636-1 ;PMID: 32445007Full text available |
| 18 |
Material Type: Article
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ROC curves for clinical prediction models part 1. ROC plots showed no added value above the AUC when evaluating the performance of clinical prediction modelsJournal of clinical epidemiology, 2020-10, Vol.126, p.207-216 [Peer Reviewed Journal]2020 ;Copyright © 2020. Published by Elsevier Inc. ;Copyright Elsevier Limited Oct 2020 ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2020.01.028 ;PMID: 32712176Full text available |
| 19 |
Material Type: Article
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Machine Learning-based Prediction Model for Treatment of Acromegaly With First-generation Somatostatin Receptor LigandsThe journal of clinical endocrinology and metabolism, 2021-07, Vol.106 (7), p.2047-2056 [Peer Reviewed Journal]The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2021 ;The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. ;COPYRIGHT 2021 Oxford University Press ;The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com ;ISSN: 0021-972X ;EISSN: 1945-7197 ;DOI: 10.1210/clinem/dgab125 ;PMID: 33686418Full text available |
| 20 |
Material Type: Article
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Neutralizing antibody levels are highly predictive of immune protection from symptomatic SARS-CoV-2 infectionNature medicine, 2021-07, Vol.27 (7), p.1205-1211 [Peer Reviewed Journal]2021. The Author(s), under exclusive licence to Springer Nature America, Inc. ;COPYRIGHT 2021 Nature Publishing Group ;The Author(s), under exclusive licence to Springer Nature America, Inc. 2021. ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-021-01377-8 ;PMID: 34002089Full text available |
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