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1
Associations between body mass index and mortality or cardiovascular events in a general Korean population
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Associations between body mass index and mortality or cardiovascular events in a general Korean population

PloS one, 2017-09, Vol.12 (9), p.e0185024-e0185024 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Kong 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. ;2017 Kong et al 2017 Kong et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0185024 ;PMID: 28915262

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2
Investigating the interplay of smoking, cardiovascular risk factors, and overall cardiovascular disease risk: NHANES analysis 2011-2018
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Investigating the interplay of smoking, cardiovascular risk factors, and overall cardiovascular disease risk: NHANES analysis 2011-2018

BMC cardiovascular disorders, 2024-04, Vol.24 (1), p.193-193 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;2024. 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) 2024 ;ISSN: 1471-2261 ;EISSN: 1471-2261 ;DOI: 10.1186/s12872-024-03838-7 ;PMID: 38575889

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3
Cardiovascular events and venous thromboembolism after primary malignant or non-malignant brain tumour diagnosis: a population matched cohort study in Wales (United Kingdom)
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Cardiovascular events and venous thromboembolism after primary malignant or non-malignant brain tumour diagnosis: a population matched cohort study in Wales (United Kingdom)

BMC medicine, 2023-11, Vol.21 (1), p.431-431, Article 431 [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. ;The Author(s) 2023 ;ISSN: 1741-7015 ;EISSN: 1741-7015 ;DOI: 10.1186/s12916-023-03153-6 ;PMID: 37953241

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4
Screening and referral is not enough: a qualitative exploration of barriers to access and uptake of mental health services in patients with cardiovascular diseases
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Screening and referral is not enough: a qualitative exploration of barriers to access and uptake of mental health services in patients with cardiovascular diseases

BMC health services research, 2021-01, Vol.21 (1), p.49-49, Article 49 [Peer Reviewed Journal]

COPYRIGHT 2021 BioMed Central Ltd. ;2021. 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) 2021 ;ISSN: 1472-6963 ;EISSN: 1472-6963 ;DOI: 10.1186/s12913-020-06030-7 ;PMID: 33419443

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5
Calibration and discrimination of the Framingham Risk Score and the Pooled Cohort Equations
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Calibration and discrimination of the Framingham Risk Score and the Pooled Cohort Equations

Canadian Medical Association journal (CMAJ), 2020-04, Vol.192 (17), p.E442-E449 [Peer Reviewed Journal]

2020 Joule Inc. or its licensors. ;COPYRIGHT 2020 Joule Inc. ;Copyright Joule Inc Apr 27, 2020 ;2020 Joule Inc. or its licensors 2020 ;ISSN: 0820-3946 ;EISSN: 1488-2329 ;DOI: 10.1503/cmaj.190848 ;PMID: 32392491

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6
Alcohol use and cardiometabolic risk in the UK Biobank: A Mendelian randomization study
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Alcohol use and cardiometabolic risk in the UK Biobank: A Mendelian randomization study

PloS one, 2021-08, Vol.16 (8), p.e0255801-e0255801 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). 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.0255801 ;PMID: 34379647

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7
High-risk multimorbidity patterns on the road to cardiovascular mortality
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High-risk multimorbidity patterns on the road to cardiovascular mortality

BMC medicine, 2020-03, Vol.18 (1), p.44-44, Article 44 [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/s12916-020-1508-1 ;PMID: 32151252

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8
Associations among cardiovascular and cerebrovascular diseases: Analysis of the nationwide claims-based JROAD-DPC dataset
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Associations among cardiovascular and cerebrovascular diseases: Analysis of the nationwide claims-based JROAD-DPC dataset

PloS one, 2022-03, Vol.17 (3), p.e0264390-e0264390 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Nakai 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 Nakai et al 2022 Nakai et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0264390 ;PMID: 35275919

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9
The mutational constraint spectrum quantified from variation in 141,456 humans
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The mutational constraint spectrum quantified from variation in 141,456 humans

Nature (London), 2020-05, Vol.581 (7809), p.434-443 [Peer Reviewed Journal]

COPYRIGHT 2020 Nature Publishing Group ;COPYRIGHT 2020 Nature Publishing Group ;Copyright Nature Publishing Group May 28, 2020 ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2020 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-020-2308-7 ;PMID: 32461654

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10
Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review
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Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review

BMC medical research methodology, 2021-12, Vol.21 (1), p.283-283, Article 283 [Peer Reviewed Journal]

2021. The Author(s). ;COPYRIGHT 2021 BioMed Central Ltd. ;2021. 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) 2021 ;ISSN: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/s12874-021-01472-x ;PMID: 34922465

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11
Comparison of State-of-the-Art Neural Network Survival Models with the Pooled Cohort Equations for Cardiovascular Disease Risk Prediction
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Comparison of State-of-the-Art Neural Network Survival Models with the Pooled Cohort Equations for Cardiovascular Disease Risk Prediction

BMC medical research methodology, 2023-01, Vol.23 (1), p.22-22, Article 22 [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. ;The Author(s) 2023 ;ISSN: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/s12874-022-01829-w ;PMID: 36694118

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12
Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2
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Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2

BMJ, 2008-06, Vol.336 (7659), p.1475-1482 [Peer Reviewed Journal]

BMJ Publishing Group Ltd 2008 ;Copyright 2008 BMJ Publishing Group Ltd. ;Copyright: 2008 (c) BMJ Publishing Group Ltd 2008 ;BMJ Publishing Group Ltd 2008 2008 BMJ Publishing Group Ltd ;ISSN: 0959-8138 ;EISSN: 1468-5833 ;EISSN: 1756-1833 ;DOI: 10.1136/bmj.39609.449676.25 ;PMID: 18573856

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13
Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review
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Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review

BMC medicine, 2024-02, Vol.22 (1), p.56-56, Article 56 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;2024. 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) 2024 ;ISSN: 1741-7015 ;EISSN: 1741-7015 ;DOI: 10.1186/s12916-024-03273-7 ;PMID: 38317226

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14
Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease
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Article
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Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease

Scientific reports, 2022-03, Vol.12 (1), p.3551-3551, Article 3551 [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/s41598-022-07186-4 ;PMID: 35241683

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15
Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques
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Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques

Computational intelligence and neuroscience, 2022, Vol.2022, p.2973324-13 [Peer Reviewed Journal]

Copyright © 2022 Rajkumar Gangappa Nadakinamani et al. ;Copyright © 2022 Rajkumar Gangappa Nadakinamani et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;Copyright © 2022 Rajkumar Gangappa Nadakinamani et al. 2022 ;ISSN: 1687-5265 ;EISSN: 1687-5273 ;DOI: 10.1155/2022/2973324 ;PMID: 35069715

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16
Development and validation of risk prediction models for multiple cardiovascular diseases and Type 2 diabetes
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Development and validation of risk prediction models for multiple cardiovascular diseases and Type 2 diabetes

PloS one, 2020-07, Vol.15 (7), p.e0235758-e0235758 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Rezaee 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 Rezaee et al 2020 Rezaee et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0235758 ;PMID: 32726343

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17
Calcium supplements with or without vitamin D and risk of cardiovascular events: reanalysis of the Women’s Health Initiative limited access dataset and meta-analysis
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Calcium supplements with or without vitamin D and risk of cardiovascular events: reanalysis of the Women’s Health Initiative limited access dataset and meta-analysis

BMJ, 2011-04, Vol.342 (7804), p.962-962 [Peer Reviewed Journal]

Bolland et al 2011 ;BMJ Publishing Group Ltd 2011 ;Copyright: 2011 © Bolland et al 2011 ;Bolland et al 2011 2011 Bolland et al ;ISSN: 0959-8138 ;EISSN: 1468-5833 ;EISSN: 1756-1833 ;DOI: 10.1136/bmj.d2040 ;PMID: 21505219

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18
The roles of predictors in cardiovascular risk models - a question of modeling culture?
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The roles of predictors in cardiovascular risk models - a question of modeling culture?

BMC medical research methodology, 2021-12, Vol.21 (1), p.284-284, Article 284 [Peer Reviewed Journal]

2021. The Author(s). ;COPYRIGHT 2021 BioMed Central Ltd. ;2021. 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) 2021 ;ISSN: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/s12874-021-01487-4 ;PMID: 34922459

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19
Rate of Angiotensin-Converting Enzyme Inhibitors and Angiotensin Receptor Blockers Use and the Number of COVID-19–Confirmed Cases and Deaths
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Rate of Angiotensin-Converting Enzyme Inhibitors and Angiotensin Receptor Blockers Use and the Number of COVID-19–Confirmed Cases and Deaths

The American journal of cardiology, 2022-02, Vol.165, p.101-108 [Peer Reviewed Journal]

2021 Elsevier Inc. ;Copyright © 2021 Elsevier Inc. All rights reserved. ;2021. Elsevier Inc. ;2021 Elsevier Inc. All rights reserved. 2021 Elsevier Inc. ;ISSN: 0002-9149 ;EISSN: 1879-1913 ;DOI: 10.1016/j.amjcard.2021.10.050 ;PMID: 34906367

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20
Association of alcohol consumption with morbidity and mortality in patients with cardiovascular disease: original data and meta-analysis of 48,423 men and women
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Association of alcohol consumption with morbidity and mortality in patients with cardiovascular disease: original data and meta-analysis of 48,423 men and women

BMC medicine, 2021-07, Vol.19 (1), p.167-167, Article 167 [Peer Reviewed Journal]

2021. The Author(s). ;COPYRIGHT 2021 BioMed Central Ltd. ;2021. 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) 2021 ;ISSN: 1741-7015 ;EISSN: 1741-7015 ;DOI: 10.1186/s12916-021-02040-2 ;PMID: 34311738

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