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Patrik Bachtiger

Showing results (1-10 of 19) with videos related to

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The Lancet. Digital Health|August 25, 2020
Machine learning for COVID-19-asking the right questionsPatrik Bachtiger, Nicholas S Peters, Simon Lf Walsh
NPJ Digital Medicine|December 10, 2020
Belief of having had unconfirmed Covid-19 infection reduces willingness to participate in app-based contact tracingPatrik Bachtiger, Alexander Adamson, Jennifer K Quint, et al.
JMIR Public Health and Surveillance|March 2, 2021
The Impact of the COVID-19 Pandemic on the Uptake of Influenza Vaccine: UK-Wide Observational StudyPatrik Bachtiger, Alexander Adamson, Ji-Jian Chow, et al.
NPJ Digital Medicine|February 29, 2024
From ether to ethernet: ensuring ethical policy in digital transformation of waitlist triage for cardiovascular proceduresMihir A Kelshiker, Karanjot Chhatwal, Patrik Bachtiger, et al.
IEEE Transactions on Bio-Medical Engineering|January 25, 2022
Wearable In-Ear PPG: Detailed Respiratory Variations Enable Classification of COPDHarry J Davies, Patrik Bachtiger, Ian Williams, et al.
JMIR Public Health and Surveillance|July 23, 2021
Determinants of Shielding Behavior During the COVID-19 Pandemic and Associations With Well-being Among National Health Service Patients: Longitudinal Observational StudyPatrik Bachtiger, Alexander Adamson, William A Maclean, et al.
JMIR AI|June 14, 2024
Artificial Intelligence Algorithms in Health Care: Is the Current Food and Drug Administration Regulation Sufficient?Meghavi Mashar, Shreya Chawla, Fangyue Chen, et al.
Population Health Management|November 26, 2019
A Framework for Predicting Impactability of Digital Care Management Using Machine Learning MethodsHeather Mattie, Patrick Reidy, Patrik Bachtiger, et al.
IEEE Open Journal of Engineering in Medicine and Biology|March 15, 2024
Physically Meaningful Surrogate Data for COPDHarry J Davies, Ghena Hammour, Hongjian Xiao, et al.
NPJ Digital Medicine|December 10, 2019
Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patientsAntonin Dauvin, Carolina Donado, Patrik Bachtiger, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
The Lancet. Digital Health|August 25, 2020
Machine learning for COVID-19-asking the right questionsPatrik Bachtiger, Nicholas S Peters, Simon Lf Walsh
NPJ Digital Medicine|December 10, 2020
Belief of having had unconfirmed Covid-19 infection reduces willingness to participate in app-based contact tracingPatrik Bachtiger, Alexander Adamson, Jennifer K Quint, et al.
JMIR Public Health and Surveillance|March 2, 2021
The Impact of the COVID-19 Pandemic on the Uptake of Influenza Vaccine: UK-Wide Observational StudyPatrik Bachtiger, Alexander Adamson, Ji-Jian Chow, et al.
NPJ Digital Medicine|February 29, 2024
From ether to ethernet: ensuring ethical policy in digital transformation of waitlist triage for cardiovascular proceduresMihir A Kelshiker, Karanjot Chhatwal, Patrik Bachtiger, et al.
IEEE Transactions on Bio-Medical Engineering|January 25, 2022
Wearable In-Ear PPG: Detailed Respiratory Variations Enable Classification of COPDHarry J Davies, Patrik Bachtiger, Ian Williams, et al.
JMIR Public Health and Surveillance|July 23, 2021
Determinants of Shielding Behavior During the COVID-19 Pandemic and Associations With Well-being Among National Health Service Patients: Longitudinal Observational StudyPatrik Bachtiger, Alexander Adamson, William A Maclean, et al.
JMIR AI|June 14, 2024
Artificial Intelligence Algorithms in Health Care: Is the Current Food and Drug Administration Regulation Sufficient?Meghavi Mashar, Shreya Chawla, Fangyue Chen, et al.
Population Health Management|November 26, 2019
A Framework for Predicting Impactability of Digital Care Management Using Machine Learning MethodsHeather Mattie, Patrick Reidy, Patrik Bachtiger, et al.
IEEE Open Journal of Engineering in Medicine and Biology|March 15, 2024
Physically Meaningful Surrogate Data for COPDHarry J Davies, Ghena Hammour, Hongjian Xiao, et al.
NPJ Digital Medicine|December 10, 2019
Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patientsAntonin Dauvin, Carolina Donado, Patrik Bachtiger, et al.
Pageof 2