Modelos de Previsão de Desenvolvimento da COVID-19 em Doentes de Risco para uma Medicina de Precisão / Predictive Models of COVID-19 Outcomes for Higher Risk Patients Towards a Precision Medicine | Pandemic PACT Tracker

Key facts

Disease
COVID-19
start year
-99
Known Financial Commitments (USD)
$0
Funder
FCT Portugal
Principal Investigator
Luís Filipe Nunes Bento
Research Location
Portugal
Lead Research Institution
Centro Hospitalar Universitário de Lisboa Central, EPE (CHULC)
Research Priority Alignment
N/A

Research Category
Clinical characterisation and management
Research Subcategory
Prognostic factors for disease severity
Special Interest Tags
N/A
Study Type
Unspecified
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified

Abstract

Publicationslinked via Europe PMC

Last Updated:2 days ago

View all publications at Europe PMC

Predicting delirium in critically Ill COVID-19 patients using EEG-derived data: a machine learning approach.

Analyzing Heart Rate Variability for COVID-19 ICU Mortality Prediction Using Continuous Signal Processing Techniques

Predicting ICU Delirium in Critically Ill COVID-19 Patients Using Demographic, Clinical, and Laboratory Admission Data: A Machine Learning Approach.

Cytokine-Based Insights into Bloodstream Infections and Bacterial Gram Typing in ICU COVID-19 Patients.

Early Mortality Prediction in Intensive Care Unit Patients Based on Serum Metabolomic Fingerprint.

Integration of FTIR Spectroscopy and Machine Learning for Kidney Allograft Rejection: A Complementary Diagnostic Tool.

Comparison of two metabolomics-platforms to discover biomarkers in critically ill patients from serum analysis.

Analysis of six consecutive waves of ICU-admitted COVID-19 patients: key findings and insights from a Portuguese population.

Bridging the gap between target-based and phenotypic-based drug discovery.