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References from Using artificial intelligence and predictive modelling to enable learning healthcare systems (LHS) for pandemic preparedness. Local targets link to admitted publications; unresolved targets remain external evidence.
Strengths, Weaknesses, Opportunities and Threats (SWOT) Analysis of China’s Prevention and Control Strategy for the COVID-19 Epidemic
10.3390/ijerph17072235 · 2020 · External reference
10.3390/molecules26010039
10.3390/molecules26010039 · External reference
Impact of coronavirus disease 2019 (COVID-19) on US Hospitals and Patients, April–July 2020
10.1017/ice.2021.69 · 2022 · External reference
Information Overload and Infodemic in the COVID-19 Pandemic
10.5455/jpma.38 · 2020 · External reference
Data science approaches to confronting the COVID-19 pandemic: a narrative review
2022 · External reference
Learning health care systems: highly needed but challenging
10.1002/lrh2.10211 · 2020 · External reference
Unresolved reference
2007 · External reference
10.14236/jhi.v25i2.996
10.14236/jhi.v25i2.996 · External reference
Rapid Learning health care in oncology’ – an approach towards decision support systems enabling customised radiotherapy
10.1016/j.radonc.2013.07.007 · 2013 · External reference
10.1109/cesys.2016.7889917
10.1109/cesys.2016.7889917 · External reference
WHO Declares COVID-19 a pandemic
2020 · External reference
10.1136/bmjmed-2021-000040
10.1136/bmjmed-2021-000040 · External reference
10.1016/s0140-6736(22)00152-0
10.1016/s0140-6736(22)00152-0 · External reference
10.1038/s41579-022-00846-2
10.1038/s41579-022-00846-2 · External reference
10.1038/sdata.2016.18
10.1038/sdata.2016.18 · External reference
Regulatory agilities in the time of COVID-19: overview, trends, and opportunities
10.1016/j.clinthera.2020.11.015 · 2021 · External reference
COVID-19: regulatory landscape of medicinal and medical device products for human use
10.1016/j.clinthera.2020.06.014 · 2020 · External reference
Data capture and sharing in the COVID-19 pandemic: a cause for concern
2022 · External reference
Randomized controlled trials versus real-world data in the COVID-19 era: a false narrative
10.1080/07357907.2020.1841922 · 2020 · External reference
10.1016/j.epidem.2022.100612
10.1016/j.epidem.2022.100612 · External reference
Current applications and future directions for the CDISC operational data model standard: a methodological review
10.1016/j.jbi.2016.02.016 · 2016 · External reference
Data harmonisation for information fusion in digital healthcare: a state-of-the-art systematic review, meta-analysis and future research directions
10.1016/j.inffus.2022.01.001 · 2022 · External reference
10.1126/science.abd2499
10.1126/science.abd2499 · External reference
Systematic review of privacy-preserving distributed machine learning from federated databases in health care
10.1200/cci.19.00047 · 2020 · External reference
10.1016/j.compbiomed.2021.104716
10.1016/j.compbiomed.2021.104716 · External reference
A review of applications in federated learning
10.1016/j.cie.2020.106854 · 2020 · External reference
Federated tensor factorization for computational phenotyping
2017 · External reference
Unresolved reference
External reference
Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records
10.1016/j.jbi.2019.103291 · 2019 · External reference
Federated learning in a medical context: a systematic literature review
10.1145/3412357 · 2021 · External reference
Two-stage federated phenotyping and patient representation learning
2019 · External reference
Federated learning for COVID-19 screening from chest X-ray images
10.1016/j.asoc.2021.107330 · 2021 · External reference
Radiomics of CT features may be nonreproducible and redundant: influence of CT acquisition parameters
10.1148/radiol.2018172361 · 2018 · External reference
Unresolved reference
2018 · External reference
Can predicting COVID-19 mortality in a European cohort using only demographic and comorbidity data surpass age-based prediction: an externally validated study
10.1371/journal.pone.0249920 · 2021 · External reference
Improving and externally validating mortality prediction models for COVID-19 using publicly available data
10.3390/biomed2010002 · 2022 · External reference
Knowledge graphs for COVID-19: an exploratory review of the current landscape
10.3390/jpm11040300 · 2021 · External reference
An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomography
10.1183/23120541.00579-2021 · 2022 · External reference
Automatized lung disease quantification in patients with COVID-19 as a predictive tool to assess hospitalization severity
10.3389/fmed.2022.930055 · 2022 · External reference
Development and validation of an automated radiomic CT signature for detecting COVID-19
2020 · External reference
Coronavirus disease vulnerability map using a geographic information system (GIS) from 16 April to 16 May 2020
10.1016/j.pce.2021.103043 · 2022 · External reference
10.1146/annurev-biodatasci-021821-061045
10.1146/annurev-biodatasci-021821-061045 · External reference
Covid19Risk.ai: an open source repository and online calculator of prediction models for early diagnosis and prognosis of Covid-19
10.3390/biomed1010003 · 2021 · External reference
Emergency use authorizations of COVID-19–related medical products
10.1001/jamainternmed.2021.7257 · 2022 · External reference
Unresolved reference
External reference
10.1145/3447548.3470823
10.1145/3447548.3470823 · External reference
XAI—Explainable artificial intelligence
10.1126/scirobotics.aay7120 · 2019 · External reference
10.1016/j.inffus.2019.12.012
10.1016/j.inffus.2019.12.012 · External reference
Unresolved reference
External reference
Updated preparedness and response framework for influenza pandemics
2014 · External reference
10.1016/j.mayocpiqo.2020.10.004
10.1016/j.mayocpiqo.2020.10.004 · External reference
Transitioning from learning healthcare systems to learning health care communities
10.2217/cer-2017-0105 · 2018 · External reference