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Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers

Journal of medical Internet research, 2020-06, Vol.22 (6), p.e19284-e19284

2020

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Comparative analysis of the association between 35 frailty scores and cardiovascular events, cancer, and total mortality in an elderly general population in England: An observational study

PLoS medicine, 2018-03, Vol.15 (3), p.e1002543-e1002543

2018

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Prospective Association Among Diabetes Diagnosis, HbA1c, Glycemia, and Frailty Trajectories in an Elderly Population

Diabetes care, 2019-10, Vol.42 (10), p.1903-1911

2019

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Agreement Between 35 Published Frailty Scores in the General Population

American journal of epidemiology, 2017-08, Vol.186 (4), p.420-434

2017

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Agreement Between 35 Published Frailty Scores in the General Population

American journal of epidemiology, 2017-08, Vol.186 (4), p.420-434

2017

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Methods to Generate Innovative Research Ideas and Improve Patient and Public Involvement in Modern Epidemiological Research: Review, Patient Viewpoint, and Guidelines for Implementation of a Digital Cohort Study

Journal of medical Internet research, 2021-12, Vol.23 (12), p.e25743-e25743

2021

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Identifying hotspots of cardiometabolic outcomes based on a Bayesian approach: The example of Chile

PloS one, 2020-06, Vol.15 (6), p.e0235009-e0235009

2020

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1450-P: Profiles of Glycemic Control in People with Type 1 Diabetes Using CGM—A Clustering Approach in the SFDT1 Study

Diabetes (New York, N.Y.), 2023-06, Vol.72 (Supplement_1), p.1

2023

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Device-measured physical activity and sedentary time in a national sample of Luxembourg residents: the ORISCAV-LUX 2 study

The international journal of behavioral nutrition and physical activity, 2022-12, Vol.19 (1), p.161-161, Article 161

2022

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Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study

BMC medical research methodology, 2023-01, Vol.23 (1), p.8-8, Article 8

2023

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Substituting device-measured sedentary time with alternative 24-hour movement behaviours: compositional associations with adiposity and cardiometabolic risk in the ORISCAV-LUX 2 study

Diabetology and metabolic syndrome, 2023-04, Vol.15 (1), p.70-70, Article 70

2023

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Mixed-methods study protocol to identify expectations of people with type 1 diabetes and their caregivers about voice-based digital health solutions to support the management of diabetes distress: the PsyVoice study

BMJ open, 2023-09, Vol.13 (9), p.e068264-e068264

2023

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Digital Health Interventions among People Living with Frailty: A Scoping Review

Journal of the American Medical Directors Association, 2021-09, Vol.22 (9), p.1802-1812.e21

2021

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Correction: Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study

BMC medical research methodology, 2023-01, Vol.23 (1), p.32-32, Article 32

2023

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Intricate relationships between frailty and diabetes: where do we go from here?

The Lancet. Healthy longevity, 2020-12, Vol.1 (3), p.e92-e93

2020

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Multi-Scale Multivariate Models for Small Area Health Survey Data: A Chilean Example

International journal of environmental research and public health, 2020-03, Vol.17 (5), p.1682

2020

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Associations between physical activity prior to infection and COVID-19 disease severity and symptoms: results from the prospective Predi-COVID cohort study

BMJ open, 2022-04, Vol.12 (4), p.e057863-e057863

2022

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Validation of a Parkinson's disease questionnaire-39-based functional mobility composite score (FMCS) in people with Parkinson's disease

Parkinsonism & related disorders, 2023-07, Vol.112, p.105442-105442, Article 105442

2023

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Recommendations for Successful Implementation of the Use of Vocal Biomarkers for Remote Monitoring of COVID-19 and Long COVID in Clinical Practice and Research

Interactive journal of medical research, 2022-11, Vol.11 (2), p.e40655-e40655

2022

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Towards precision cardiometabolic prevention: results from a machine learning, semi-supervised clustering approach in the nationwide population-based ORISCAV-LUX 2 study

Scientific reports, 2021-08, Vol.11 (1), p.16056-16056, Article 16056

2021

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Co-Design of a Voice-Based Digital Health Solution to Monitor Persisting Symptoms Related to COVID-19 (UpcomingVoice Study): Protocol for a Mixed Methods Study

JMIR research protocols, 2023-06, Vol.12, p.e46103-e46103

2023

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Intermittent Scanning Glucose Monitoring or Predicted Low Suspend Pump Treatment: Does It Impact Time in Glucose Target and Treatment Preference? The QUEST Randomized Crossover Study

Frontiers in endocrinology (Lausanne), 2022-05, Vol.13, p.870916-870916

2022

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Vocal biomarker predicts fatigue in people with COVID-19: results from the prospective Predi-COVID cohort study

BMJ open, 2022-11, Vol.12 (11), p.e062463-e062463

2022

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Association between use of psychotropic medications prior to SARS-COV-2 infection and trajectories of COVID-19 recovery: Findings from the prospective Predi-COVID cohort study

Frontiers in public health, 2023-03, Vol.11, p.1055440-1055440

2023

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Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers

Comparative analysis of the association between 35 frailty scores and cardiovascular events, cancer, and total mortality in an elderly general population in England: An observational study

Prospective Association Among Diabetes Diagnosis, HbA1c, Glycemia, and Frailty Trajectories in an Elderly Population

Agreement Between 35 Published Frailty Scores in the General Population

Agreement Between 35 Published Frailty Scores in the General Population

Methods to Generate Innovative Research Ideas and Improve Patient and Public Involvement in Modern Epidemiological Research: Review, Patient Viewpoint, and Guidelines for Implementation of a Digital Cohort Study

Identifying hotspots of cardiometabolic outcomes based on a Bayesian approach: The example of Chile

1450-P: Profiles of Glycemic Control in People with Type 1 Diabetes Using CGM—A Clustering Approach in the SFDT1 Study

Device-measured physical activity and sedentary time in a national sample of Luxembourg residents: the ORISCAV-LUX 2 study

Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study

Substituting device-measured sedentary time with alternative 24-hour movement behaviours: compositional associations with adiposity and cardiometabolic risk in the ORISCAV-LUX 2 study

Mixed-methods study protocol to identify expectations of people with type 1 diabetes and their caregivers about voice-based digital health solutions to support the management of diabetes distress: the PsyVoice study

Digital Health Interventions among People Living with Frailty: A Scoping Review

Correction: Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study

Intricate relationships between frailty and diabetes: where do we go from here?

Multi-Scale Multivariate Models for Small Area Health Survey Data: A Chilean Example

Associations between physical activity prior to infection and COVID-19 disease severity and symptoms: results from the prospective Predi-COVID cohort study

Validation of a Parkinson's disease questionnaire-39-based functional mobility composite score (FMCS) in people with Parkinson's disease

Recommendations for Successful Implementation of the Use of Vocal Biomarkers for Remote Monitoring of COVID-19 and Long COVID in Clinical Practice and Research

Heterogeneity of glycaemic phenotypes in type 1 diabetes

Towards precision cardiometabolic prevention: results from a machine learning, semi-supervised clustering approach in the nationwide population-based ORISCAV-LUX 2 study

Co-Design of a Voice-Based Digital Health Solution to Monitor Persisting Symptoms Related to COVID-19 (UpcomingVoice Study): Protocol for a Mixed Methods Study

Intermittent Scanning Glucose Monitoring or Predicted Low Suspend Pump Treatment: Does It Impact Time in Glucose Target and Treatment Preference? The QUEST Randomized Crossover Study

Vocal biomarker predicts fatigue in people with COVID-19: results from the prospective Predi-COVID cohort study

Association between use of psychotropic medications prior to SARS-COV-2 infection and trajectories of COVID-19 recovery: Findings from the prospective Predi-COVID cohort study

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