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1	Material Type: Article	MACHINE LEARNING METHODS FOR SYSTEMIC RISK ANALYSIS IN FINANCIAL SECTORS Technological and economic development of economy, , Vol.25 (5), p.716-742 [Peer Reviewed Journal] 2019. 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: 2029-4913 ;EISSN: 2029-4921 ;DOI: 10.3846/tede.2019.8740 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	From Local Explanations to Global Understanding with Explainable AI for Trees Nature machine intelligence, 2020-01, Vol.2 (1), p.56-67 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer Nature Limited 2020. ;ISSN: 2522-5839 ;EISSN: 2522-5839 ;DOI: 10.1038/s42256-019-0138-9 ;PMID: 32607472 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Detection and characterization of lung cancer using cell-free DNA fragmentomes Nature communications, 2021-08, Vol.12 (1), p.5060-5060, Article 5060 [Peer Reviewed Journal] 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: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-021-24994-w ;PMID: 34417454 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Early detection of cancer Science (American Association for the Advancement of Science), 2022-03, Vol.375 (6586), p.eaay9040 [Peer Reviewed Journal] Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works ;ISSN: 0036-8075 ;EISSN: 1095-9203 ;DOI: 10.1126/science.aay9040 ;PMID: 35298272 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
5	Material Type: Article	Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer Nature communications, 2022-02, Vol.13 (1), p.816-816, Article 816 [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: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-022-28421-6 ;PMID: 35145098 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods Sensors (Basel, Switzerland), 2020-05, Vol.20 (10), p.2809 [Peer Reviewed Journal] 2020. This work is licensed 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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20102809 ;PMID: 32429090 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Towards quality management of artificial intelligence systems for medical applications Zeitschrift für medizinische Physik, 2024-02 [Peer Reviewed Journal] 2024 The Author(s) ;Copyright © 2024 The Author(s). Published by Elsevier GmbH.. All rights reserved. ;ISSN: 0939-3889 ;EISSN: 1876-4436 ;DOI: 10.1016/j.zemedi.2024.02.001 ;PMID: 38413355 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	Explainable machine-learning predictions for the prevention of hypoxaemia during surgery Nature biomedical engineering, 2018-10, Vol.2 (10), p.749-760 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer Nature Limited 2018. ;ISSN: 2157-846X ;EISSN: 2157-846X ;DOI: 10.1038/s41551-018-0304-0 ;PMID: 31001455 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers IEEE access, 2020, Vol.8, p.76516-76531 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2989857 ;CODEN: IAECCG Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity Computers in biology and medicine, 2021-09, Vol.136, p.104754-104754, Article 104754 [Peer Reviewed Journal] 2021 The Author(s) ;2021. The Author(s) ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.104754 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	COVID-19 mortality risk assessment: An international multi-center study PloS one, 2020-12, Vol.15 (12), p.e0243262-e0243262 [Peer Reviewed Journal] COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Bertsimas 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. ;2020 Bertsimas et al 2020 Bertsimas et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0243262 ;PMID: 33296405 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	$Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone$ $Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone$ Material Type: Article	Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone BMC medical informatics and decision making, 2020-02, Vol.20 (1), p.16-16, Article 16 [Peer Reviewed Journal] 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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-020-1023-5 ;PMID: 32013925 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning Nature biomedical engineering, 2018-03, Vol.2 (3), p.158-164 [Peer Reviewed Journal] The Author(s) 2018. ;ISSN: 2157-846X ;EISSN: 2157-846X ;DOI: 10.1038/s41551-018-0195-0 ;PMID: 31015713 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	Quantitative risk analysis of treatment plans for patients with tumor by mining historical similar patients from electronic health records using federated learning Risk analysis, 2023-12, Vol.43 (12), p.2422 [Peer Reviewed Journal] 2023 Society for Risk Analysis. ;EISSN: 1539-6924 ;DOI: 10.1111/risa.14124 ;PMID: 36906293 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
16	Material Type: Article	Prediction of gestational diabetes based on nationwide electronic health records Nature medicine, 2020-01, Vol.26 (1), p.71-76 [Peer Reviewed Journal] COPYRIGHT 2020 Nature Publishing Group ;COPYRIGHT 2020 Nature Publishing Group ;2020© The Author(s), under exclusive licence to Springer Nature America, Inc. 2020 ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-019-0724-8 ;PMID: 31932807 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction Nature communications, 2020-11, Vol.11 (1), p.5668-5668, Article 5668 [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: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-19551-w ;PMID: 33168827 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Editorial: Applications of bioinformatics, machine learning and risk analysis for microbial food safety Frontiers in microbiology, 2024, Vol.15, p.1414261-1414261 [Peer Reviewed Journal] Copyright © 2024 Niu. 2024 Niu ;ISSN: 1664-302X ;EISSN: 1664-302X ;DOI: 10.3389/fmicb.2024.1414261 ;PMID: 38765681 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Ontology-driven weak supervision for clinical entity classification in electronic health records Nature communications, 2021-04, Vol.12 (1), p.2017-2017, Article 2017 [Peer Reviewed Journal] 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: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-021-22328-4 ;PMID: 33795682 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	A machine learning approach for predicting hidden links in supply chain with graph neural networks International journal of production research, 2022-09, Vol.60 (17), p.5380-5393 [Peer Reviewed Journal] 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2021 ;ISSN: 0020-7543 ;EISSN: 1366-588X ;DOI: 10.1080/00207543.2021.1956697 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 1 - 20 of 1,281 for All Library Resources

2019. 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: 2029-4913 ;EISSN: 2029-4921 ;DOI: 10.3846/tede.2019.8740

The Author(s), under exclusive licence to Springer Nature Limited 2020. ;ISSN: 2522-5839 ;EISSN: 2522-5839 ;DOI: 10.1038/s42256-019-0138-9 ;PMID: 32607472

Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works ;ISSN: 0036-8075 ;EISSN: 1095-9203 ;DOI: 10.1126/science.aay9040 ;PMID: 35298272

2024 The Author(s) ;Copyright © 2024 The Author(s). Published by Elsevier GmbH.. All rights reserved. ;ISSN: 0939-3889 ;EISSN: 1876-4436 ;DOI: 10.1016/j.zemedi.2024.02.001 ;PMID: 38413355

The Author(s), under exclusive licence to Springer Nature Limited 2018. ;ISSN: 2157-846X ;EISSN: 2157-846X ;DOI: 10.1038/s41551-018-0304-0 ;PMID: 31001455

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2989857 ;CODEN: IAECCG

2021 The Author(s) ;2021. The Author(s) ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.104754

The Author(s) 2018. ;ISSN: 2157-846X ;EISSN: 2157-846X ;DOI: 10.1038/s41551-018-0195-0 ;PMID: 31015713

2023 Society for Risk Analysis. ;EISSN: 1539-6924 ;DOI: 10.1111/risa.14124 ;PMID: 36906293

COPYRIGHT 2020 Nature Publishing Group ;COPYRIGHT 2020 Nature Publishing Group ;2020© The Author(s), under exclusive licence to Springer Nature America, Inc. 2020 ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-019-0724-8 ;PMID: 31932807

Copyright © 2024 Niu. 2024 Niu ;ISSN: 1664-302X ;EISSN: 1664-302X ;DOI: 10.3389/fmicb.2024.1414261 ;PMID: 38765681

2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2021 ;ISSN: 0020-7543 ;EISSN: 1366-588X ;DOI: 10.1080/00207543.2021.1956697

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