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1
Assessing COVID-19 risk, vulnerability and infection prevalence in communities
Assessing COVID-19 risk, vulnerability and infection prevalence in communities
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Assessing COVID-19 risk, vulnerability and infection prevalence in communities

PloS one, 2020-10, Vol.15 (10), p.e0241166 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Kiaghadi 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 Kiaghadi et al 2020 Kiaghadi et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0241166 ;PMID: 33119721

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2
Pedestrian navigation based on a waist-worn inertial sensor
Pedestrian navigation based on a waist-worn inertial sensor
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Pedestrian navigation based on a waist-worn inertial sensor

Sensors (Basel, Switzerland), 2012-08, Vol.12 (8), p.10536-10549 [Peer Reviewed Journal]

Copyright MDPI AG 2012 ;2012 by the authors; licensee MDPI, Basel, Switzerland. 2012 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s120810536 ;PMID: 23112614

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3
Alkhurma hemorrhagic fever in humans, Najran, Saudi Arabia
Alkhurma hemorrhagic fever in humans, Najran, Saudi Arabia
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Alkhurma hemorrhagic fever in humans, Najran, Saudi Arabia

Emerging infectious diseases, 2010-12, Vol.16 (12), p.1882-1888 [Peer Reviewed Journal]

COPYRIGHT 2010 U.S. National Center for Infectious Diseases ;ISSN: 1080-6040 ;EISSN: 1080-6059 ;DOI: 10.3201/eid1612.100417 ;PMID: 21122217

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4
Estrogen- and tamoxifen-associated effects on brain structure and function
Estrogen- and tamoxifen-associated effects on brain structure and function
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Estrogen- and tamoxifen-associated effects on brain structure and function

NeuroImage (Orlando, Fla.), 2004, Vol.21 (1), p.364-371 [Peer Reviewed Journal]

2003 Elsevier Inc. ;Copyright Elsevier Limited Jan 1, 2004 ;ISSN: 1053-8119 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2003.08.037 ;PMID: 14741674

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5
Vena cava filter migration after magnetic resonance imaging
Vena cava filter migration after magnetic resonance imaging
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Vena cava filter migration after magnetic resonance imaging

Revista portuguesa de cardiologia, 2017-09, Vol.36 (9), p.675-676 [Peer Reviewed Journal]

2017 Sociedade Portuguesa de Cardiologia ;ISSN: 0870-2551 ;EISSN: 2174-2030 ;DOI: 10.1016/j.repc.2016.09.023 ;PMID: 28851494

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6
Psychological characteristics associated with COVID-19 vaccine hesitancy and resistance in Ireland and the United Kingdom
Psychological characteristics associated with COVID-19 vaccine hesitancy and resistance in Ireland and the United Kingdom
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Psychological characteristics associated with COVID-19 vaccine hesitancy and resistance in Ireland and the United Kingdom

Nature communications, 2021-01, Vol.12 (1), p.29-29, Article 29 [Peer Reviewed Journal]

The Author(s) 2021. This work is published under https://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/s41467-020-20226-9 ;PMID: 33397962

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7
Learning a Health Knowledge Graph from Electronic Medical Records
Learning a Health Knowledge Graph from Electronic Medical Records
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Learning a Health Knowledge Graph from Electronic Medical Records

Scientific reports, 2017-07, Vol.7 (1), p.5994-11, Article 5994 [Peer Reviewed Journal]

2017. 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) 2017 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-017-05778-z ;PMID: 28729710

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8
Estimating sleep parameters using an accelerometer without sleep diary
Estimating sleep parameters using an accelerometer without sleep diary
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Estimating sleep parameters using an accelerometer without sleep diary

Scientific reports, 2018-08, Vol.8 (1), p.12975-11, Article 12975 [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/s41598-018-31266-z ;PMID: 30154500

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9
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
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Development and evaluation of an artificial intelligence system for COVID-19 diagnosis

Nature communications, 2020-10, Vol.11 (1), p.5088-5088, Article 5088 [Peer Reviewed Journal]

The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-18685-1 ;PMID: 33037212

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10
Duration and key determinants of infectious virus shedding in hospitalized patients with coronavirus disease-2019 (COVID-19)
Duration and key determinants of infectious virus shedding in hospitalized patients with coronavirus disease-2019 (COVID-19)
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Duration and key determinants of infectious virus shedding in hospitalized patients with coronavirus disease-2019 (COVID-19)

Nature communications, 2021-01, Vol.12 (1), p.267-267, Article 267 [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/s41467-020-20568-4 ;PMID: 33431879

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11
Ageing and brain white matter structure in 3,513 UK Biobank participants
Ageing and brain white matter structure in 3,513 UK Biobank participants
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Ageing and brain white matter structure in 3,513 UK Biobank participants

Nature communications, 2016-12, Vol.7 (1), p.13629-13629, Article 13629 [Peer Reviewed Journal]

Copyright Nature Publishing Group Dec 2016 ;Copyright © 2016, The Author(s) 2016 The Author(s) ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/ncomms13629 ;PMID: 27976682

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12
Spending at least 120 minutes a week in nature is associated with good health and wellbeing
Spending at least 120 minutes a week in nature is associated with good health and wellbeing
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Spending at least 120 minutes a week in nature is associated with good health and wellbeing

Scientific reports, 2019-06, Vol.9 (1), p.7730-11, Article 7730 [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. ;The Author(s) 2019 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-019-44097-3 ;PMID: 31197192

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13
Mental health problems and social media exposure during COVID-19 outbreak
Mental health problems and social media exposure during COVID-19 outbreak
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Mental health problems and social media exposure during COVID-19 outbreak

PloS one, 2020-04, Vol.15 (4), p.e0231924-e0231924 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Gao 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 Gao et al 2020 Gao et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0231924 ;PMID: 32298385

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14
Machine learning based early warning system enables accurate mortality risk prediction for COVID-19
Machine learning based early warning system enables accurate mortality risk prediction for COVID-19
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Machine learning based early warning system enables accurate mortality risk prediction for COVID-19

Nature communications, 2020-10, Vol.11 (1), p.5033-5033, Article 5033 [Peer Reviewed Journal]

The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-18684-2 ;PMID: 33024092

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15
Automatic diagnosis of the 12-lead ECG using a deep neural network
Automatic diagnosis of the 12-lead ECG using a deep neural network
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Automatic diagnosis of the 12-lead ECG using a deep neural network

Nature communications, 2020-04, Vol.11 (1), p.1760-1760, Article 1760 [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/s41467-020-15432-4 ;PMID: 32273514

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16
The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes
The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes
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The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes

Nature communications, 2016-05, Vol.7, p.11479-11479 [Peer Reviewed Journal]

Copyright Nature Publishing Group May 2016 ;Copyright © 2016, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. 2016 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. ;EISSN: 2041-1723 ;DOI: 10.1038/ncomms11479 ;PMID: 27161491

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17
α-Synuclein-specific T cell reactivity is associated with preclinical and early Parkinson's disease
α-Synuclein-specific T cell reactivity is associated with preclinical and early Parkinson's disease
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α-Synuclein-specific T cell reactivity is associated with preclinical and early Parkinson's disease

Nature communications, 2020-04, Vol.11 (1), p.1875-1875, Article 1875 [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/s41467-020-15626-w ;PMID: 32313102

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18
Gut microbiota associations with common diseases and prescription medications in a population-based cohort
Gut microbiota associations with common diseases and prescription medications in a population-based cohort
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Gut microbiota associations with common diseases and prescription medications in a population-based cohort

Nature communications, 2018-07, Vol.9 (1), p.2655-8, Article 2655 [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: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-018-05184-7 ;PMID: 29985401

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19
Elevated rates of autism, other neurodevelopmental and psychiatric diagnoses, and autistic traits in transgender and gender-diverse individuals
Elevated rates of autism, other neurodevelopmental and psychiatric diagnoses, and autistic traits in transgender and gender-diverse individuals
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Elevated rates of autism, other neurodevelopmental and psychiatric diagnoses, and autistic traits in transgender and gender-diverse individuals

Nature communications, 2020-08, Vol.11 (1), p.3959-3959, Article 3959 [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/s41467-020-17794-1 ;PMID: 32770077

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20
Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography
Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography
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Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography

Scientific reports, 2020-11, Vol.10 (1), p.19196-19196, Article 19196 [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: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-020-76282-0 ;PMID: 33154542

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