Cost-sensitive ordinal classification methods to predict SARS-CoV-2 pneumonia severity
Objective: To study the suitability of cost-sensitive ordinal artificial intelligence-machine
learning (AI-ML) strategies in the prognosis of SARS-CoV-2 pneumonia severity. Materials & …
learning (AI-ML) strategies in the prognosis of SARS-CoV-2 pneumonia severity. Materials & …
Cost-sensitive ordinal classification methods to predict SARS-CoV-2 pneumonia severity
F García-García, DJ Lee, PPE Yandiola… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Objective: To study the suitability of cost-sensitive ordinal artificial intelligence-machine
learning (AI-ML) strategies in the prognosis of SARS-CoV-2 pneumonia severity. Materials & …
learning (AI-ML) strategies in the prognosis of SARS-CoV-2 pneumonia severity. Materials & …
An interpretable machine learning framework for accurate severe vs non-severe COVID-19 clinical type classification
Y Chen, L Ouyang, FS Bao, Q Li, L Han, B Zhu, M Xu… - medRxiv, 2020 - medrxiv.org
Effectively and efficiently diagnosing COVID-19 patients with accurate clinical type is
essential to achieve optimal outcomes for the patients as well as reducing the risk of …
essential to achieve optimal outcomes for the patients as well as reducing the risk of …
Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques
M Hayet-Otero, F García-García, DJ Lee… - Plos one, 2023 - journals.plos.org
With the COVID-19 pandemic having caused unprecedented numbers of infections and
deaths, large research efforts have been undertaken to increase our understanding of the …
deaths, large research efforts have been undertaken to increase our understanding of the …
Use of an EHR to inform an administrative data algorithm to categorize inpatient COVID-19 severity
EM Garry, AR Weckstein, K Quinto, T Lasky… - medRxiv, 2021 - medrxiv.org
STRUCTURED ABSTRACT Importance Algorithms for classification of inpatient COVID-19
severity are necessary for confounding control in studies using real-world data (RWD) …
severity are necessary for confounding control in studies using real-world data (RWD) …
Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients
M Marcos, M Belhassen-García, A Sánchez-Puente… - PloS one, 2021 - journals.plos.org
Background Efficient and early triage of hospitalized Covid-19 patients to detect those with
higher risk of severe disease is essential for appropriate case management. Methods We …
higher risk of severe disease is essential for appropriate case management. Methods We …
Predicting COVID-19 severity: challenges in reproducibility and deployment of machine learning methods
L Liu, W Song, N Patil, M Sainlaire, R Jasuja… - International Journal of …, 2023 - Elsevier
The increasing use of electronic health records (EHR) based computable phenotypes in
clinical research is providing new opportunities for development of data-driven medical …
clinical research is providing new opportunities for development of data-driven medical …
Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality
F García-García, DJ Lee, M Nieves-Ermecheo… - Pneumonia, 2024 - Springer
Background There exists consistent empirical evidence in the literature pointing out ample
heterogeneity in terms of the clinical evolution of patients with COVID-19. The identification …
heterogeneity in terms of the clinical evolution of patients with COVID-19. The identification …
Development of an Accurate AI/ML-Driven COVID-19 Patient Stratification Model Predicting Disease Outcomes from Disproportionate and Scarce Clinical Datasets
M Khotimchenko, Y Bundey, R Bhave… - ML-Driven COVID-19 …, 2023 - papers.ssrn.com
The healthcare support system worldwide faced an enormous burden during the COVID-19
pandemic. One major obstacle is the stratification of patients to predict the severity of the …
pandemic. One major obstacle is the stratification of patients to predict the severity of the …
[HTML][HTML] Accuracy of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations from the electronic health record
Objective: Real-world data have been critical for rapid-knowledge generation throughout the
COVID-19 pandemic. To ensure high-quality results are delivered to guide clinical decision …
COVID-19 pandemic. To ensure high-quality results are delivered to guide clinical decision …