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Gloria A. Aguayo

Luxembourg Institute of Health (LIH) - Deep Digital Phenotyping Research Unit

1A-B, rue Thomas Edison

Strassen, L-1445

Luxembourg

SCHOLARLY PAPERS

3

DOWNLOADS

353

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Comparison of Deep Neural Networks and Regularised Cox Regression Models in the Prediction of Neurodegenerative Diseases in the General Older Population

Number of pages: 21 Posted: 01 Mar 2022
Luxembourg Institute of Health (LIH) - Deep Digital Phenotyping Research Unit, Luxembourg Institute of Health (LIH) - Deep Digital Phenotyping Research Unit, Luxembourg Institute of Health (LIH) - Department of Population Health, Childhood Acute Illness and Nutrition Network, affiliation not provided to SSRN, affiliation not provided to SSRN, Health Directorate, Luxembourg, Luxembourg Institute of Health (LIH), affiliation not provided to SSRN, Reunion University Hospital Center and Luxembourg Institute of Health (LIH) - Deep Digital Phenotyping Research Unit
Downloads 132 (551,165)

Abstract:

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Parkinson Disease, Alzheimer Disease, Dementia, General Population, Cohort Study, Prediction, Neurocognitive diseases, Deep Neural Networks, Cox Models, Machine Learning, Tabular Data, Transformers

2.

Global Diabetes Burden: Analysis of Regional Differences to Improve Diabetes Care

Number of pages: 23 Posted: 27 Jun 2022
Luxembourg Institute of Health (LIH) - Deep Digital Phenotyping Research Unit, University of Paris-Saclay - UVSQ, Luxembourg Institute of Health (LIH) - Deep Digital Phenotyping Research Unit, Luxembourg Institute of Health (LIH) - Deep Digital Phenotyping Research Unit, Luxembourg Institute of Health (LIH) - Data Integration and Analysis Unit, Luxembourg Institute of Health (LIH) - Data Integration and Analysis Unit and Luxembourg Institute of Health (LIH) - Deep Digital Phenotyping Research Unit
Downloads 114 (621,896)

Abstract:

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Diabetes, Artificial Intelligence, Machine learning, Digital Health, Digital Epidemiology, Data science, Topic modelling, Sentiment analysis, Emotion analysis, Social Media, Twitter, Global Health, Patients' perspectives, Personnalized healthcare

3.

A Voice-Based Biomarker for Monitoring Symptom Resolution in Adults with COVID-19: Findings from the Prospective Predi-COVID Cohort Study

Number of pages: 18 Posted: 25 Oct 2021
Luxembourg Institute of Health (LIH) - Deep Digital Phenotyping Research Unit, Luxembourg Institute of Health (LIH) - Deep Digital Phenotyping Research Unit, Luxembourg Institute of Health (LIH) - Deep Digital Phenotyping Research Unit, Luxembourg Institute of Health (LIH) - Deep Digital Phenotyping Research Unit, Universite du Luxembourg - Department of Computer Science, Luxembourg Institute of Health (LIH) - Department of Infection and Immunity, Luxembourg Institute of Health (LIH) - Deep Digital Phenotyping Research Unit, Luxembourg Institute of Health (LIH) - Department of Cancer Research and Luxembourg Institute of Health (LIH) - Deep Digital Phenotyping Research Unit
Downloads 107 (654,668)

Abstract:

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COVID-19, SARS-COV-2, symptoms, severity, digital health, remote monitoring, voice, vocal biomarker, Artificial intelligence, Machine Learning