4.6 Article

Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Letter Infectious Diseases

Random forest method for the recognition of susceptibility and resistance patterns in antibiograms

Nicolas Ayala-Aldana et al.

REVISTA CHILENA DE INFECTOLOGIA (2023)

Review Environmental Sciences

Positive association between outdoor air pollution and the incidence and severity of COVID-19. A review of the recent scientific evidences

Montse Marques et al.

Summary: Most studies suggest that chronic exposure to certain air pollutants may lead to more severe and deadly forms of COVID-19, delaying patient recovery. There is a significant association between chronic exposure to various outdoor air pollutants and the incidence/risk of COVID-19 cases, as well as the severity/mortality of the disease.

ENVIRONMENTAL RESEARCH (2022)

Article Medicine, Research & Experimental

Clinical prognosis evaluation of COVID-19 patients: An interpretable hybrid machine learning approach

Ozan Kocadagli et al.

Summary: This retrospective cohort study used a hybrid machine learning approach to evaluate the severity of COVID-19 cases based on the first symptoms and blood-test results of patients admitted to the Emergency Department. The analysis identified potential risk factors and accurately assessed the prognosis of COVID-19 cases.

CURRENT RESEARCH IN TRANSLATIONAL MEDICINE (2022)

Review Biochemistry & Molecular Biology

Neutrophil to Lymphocyte Ratio: An Emerging Marker of the Relationships between the Immune System and Diseases

Agata Buonacera et al.

Summary: Evaluation of the neutrophil-to-lymphocyte ratio (NLR) as a marker of diseases has become a compelling field of research in the past decade. Although an exact cut-off value has not been determined, NLR is recognized as a marker of immune system homeostasis and is correlated with mortality in general population and specific disease subsets. Additionally, NLR has been considered in decision-making processes for COVID-19 pneumonia patients.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2022)

Article Medicine, General & Internal

Neutrophil-to-Lymphocyte Ratio (NLR) Is a Promising Predictor of Mortality and Admission to Intensive Care Unit of COVID-19 Patients

Matteo Regolo et al.

Summary: This study aimed to assess the role of neutrophil-to-lymphocyte ratio (NLR) as a predictor of mortality and admission to the intensive care unit in COVID-19 patients. The findings showed that NLR is an independent predictor of mortality and a worse outcome in COVID-19 patients, and it may help identify high-risk individuals with COVID-19 infection at admission.

JOURNAL OF CLINICAL MEDICINE (2022)

Review Computer Science, Information Systems

Stability of feature selection algorithm: A review

Utkarsh Mahadeo Khaire et al.

Summary: Feature selection technique is a tool for understanding problems by analyzing relevant features, which can improve classifier performance and reduce computational load. However, the high correlation between features often leads to instability in traditional feature selection algorithms, resulting in reduced confidence in the selected features. Therefore, achieving high stability in feature selection algorithms is crucial.

JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES (2022)

Article Multidisciplinary Sciences

Assessing the impact of long-term exposure to nine outdoor air pollutants on COVID-19 spatial spread and related mortality in 107 Italian provinces

Gaetano Perone

Summary: This paper investigates the relationship between air pollutant exposure and COVID-19 spread and mortality in 107 Italian provinces. The results show positive correlations between common air pollutants and various industries and sectors, as well as long-term exposure to certain pollutants and COVID-19 prevalence and mortality rates.

SCIENTIFIC REPORTS (2022)

Article Multidisciplinary Sciences

Machine-learning-derived predictive score for early estimation of COVID-19 mortality risk in hospitalized patients

Alba Gonzalez-Cebrian et al.

Summary: This article describes a predictive model for COVID-19 mortality developed using machine learning algorithms. The model uses five predictors - age, oxygen saturation, platelets, lactate dehydrogenase, and creatinine - to accurately classify patients as survived or deceased. Additionally, a simple scoring system based on these five predictors is proposed to assess patients' mortality risk.

PLOS ONE (2022)

Article Immunology

Socioeconomic Inequalities in COVID-19 Vaccination and Infection in Adults, Catalonia, Spain

Elena Roel et al.

Summary: This study examines the impact of COVID-19 vaccine roll-out on socioeconomic inequalities and finds that vaccination has reduced infection and hospitalization inequalities.

EMERGING INFECTIOUS DISEASES (2022)

Article Environmental Sciences

Analyzing the severity of coronavirus infections in relation to air pollution: evidence-based study from Saudi Arabia

Abdulnoor A. J. Ghanim

Summary: The study examines the relationship between air pollutants and COVID-19 infections, finding a significant positive correlation between high concentrations of PM10, NO2, CO, and SO2 pollutants and COVID-19 cases and deaths. Additionally, a significant correlation is also found between NO2 and CO means and the total number of critical cases. Negative correlations are observed between O-3 mean values and total cases, deaths, and critical cases per cumulative days.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2022)

Article Peripheral Vascular Disease

High Systolic Blood Pressure at Hospital Admission Is an Important Risk Factor in Models Predicting Outcome of COVID-19 Patients

Antoine Caillon et al.

Summary: This study aimed to develop models predicting the outcomes of COVID-19 patients based on data collected at hospital admission. Results showed that hypertension and systolic blood pressure (SBP) were associated with mortality, with SBP acting as a covariate in both mortality and survival prediction models.

AMERICAN JOURNAL OF HYPERTENSION (2021)

Article Respiratory System

Validation of PSI/PORT, CURB-65 and SCAP scoring system in COVID-19 pneumonia for prediction of disease severity and 14-day mortality

Aditya Anurag et al.

Summary: The study validates the effectiveness of using the PSI/PORT scoring system, CURB-65 criteria, and SCAP scoring system in assessing disease severity and predicting 14-day mortality risk in cases of COVID-19 pneumonia, with the SCAP score system being the most accurate marker.

CLINICAL RESPIRATORY JOURNAL (2021)

Article Cardiac & Cardiovascular Systems

C-reactive protein and clinical outcomes in patients with COVID-19

Nathaniel R. Smilowitz et al.

Summary: Elevated CRP levels at initial hospital presentation in COVID-19 patients are associated with an increased risk of venous thromboembolism, acute kidney injury, critical illness, and mortality. There is a dose-response relationship between CRP concentration and adverse outcomes, with patients with high levels of both CRP and D-dimer showing the greatest risk of adverse outcomes. Systemic inflammation, as measured by CRP, plays a significant role in predicting clinical outcomes in COVID-19.

EUROPEAN HEART JOURNAL (2021)

Article Medicine, General & Internal

Demographic risk factors for COVID-19 infection, severity, ICU admission and death: a meta-analysis of 59 studies

Bart G. Pijls et al.

Summary: A systematic review and meta-analysis showed that men and patients aged 70 and above have a higher risk for COVID-19 infection, severe disease, ICU admission, and death. The study included 59 studies comprising 36,470 patients, with men having a higher risk for infection and severe disease, while patients aged 70 and above having a higher risk for all outcomes once infected.

BMJ OPEN (2021)

Article Microbiology

Systemic Inflammatory Index Is a Novel Predictor of Intubation Requirement and Mortality after SARS-CoV-2 Infection

Sajjad Muhammad et al.

Summary: The COVID-19 pandemic has caused a tragic global health and economic emergency, necessitating the development of reliable biomarkers to predict disease severity in infected patients.

PATHOGENS (2021)

Article Public, Environmental & Occupational Health

The role of C-reactive protein as a prognostic marker in COVID-19

Dominic Stringer et al.

Summary: The study found that a threshold of CRP >= 40 mg/L on admission is a good indicator for predicting inpatient mortality in COVID-19 patients. This threshold can assist clinicians in early assessment of patient severity, treatment decisions, and further care planning.

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2021)

Article Economics

ESTIMATION OF TIME-VARYING COVARIANCE MATRICES FOR LARGE DATASETS

Yiannis Dendramis et al.

Summary: This paper discusses the nonparametric regularization techniques for sparse large covariance matrices in the context of macroeconomic and financial data analysis, emphasizing the robustness of the method to stochastic structural changes. Results include Bernstein type inequalities for dependent unbounded variables and comparisons with other estimators in empirical applications.

ECONOMETRIC THEORY (2021)

Article Multidisciplinary Sciences

Machine learning based predictors for COVID-19 disease severity

Dhruv Patel et al.

Summary: This study used machine learning algorithms to predict the need for intensive care and mechanical ventilation in COVID-19 patients and identified the most important features influencing the prediction. Blood panel profile data is crucial for predicting disease severity. RF predictors relying only on quantitative data showed good performance in prediction.

SCIENTIFIC REPORTS (2021)

Article Environmental Sciences

Socioeconomic Inequalities in COVID-19 in a European Urban Area: Two Waves, Two Patterns

Marc Mari-Dell'Olmo et al.

Summary: The study found that during the first and second waves of the pandemic in Barcelona, women under 65 showed higher COVID-19 cumulative incidence, with the trend reversing after this age threshold. The incidence of the disease was higher in some poor neighborhoods, with the disease risk ratio (RR) increasing in the poorest groups compared to the richest ones, especially in the second wave.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2021)

Article Environmental Sciences

Role of SatO2, PaO2/FiO2 Ratio and PaO2 to Predict Adverse Outcome in COVID-19: A Retrospective, Cohort Study

Stefano Sartini et al.

Summary: In a study evaluating oxygenation targets in COVID-19 patients, parameters like PaO2, PaO2/FiO2, and SatO2% showed significant correlations with adverse outcomes, providing valuable targets for clinicians managing respiratory failure in non-ICU settings.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2021)

Article Public, Environmental & Occupational Health

Machine Learning Based Clinical Decision Support System for Early COVID-19 Mortality Prediction

Akshaya Karthikeyan et al.

Summary: This study introduces machine learning methods based on blood test data for predicting COVID-19 mortality risk, achieving high accuracy. By analyzing key biomarkers, it provides decision-making solutions for healthcare systems to expedite the decision-making process.

FRONTIERS IN PUBLIC HEALTH (2021)

Article Environmental Sciences

Long-term Air Pollution Exposure Impact on COVID-19 Morbidity in China

Yihan Wu et al.

Summary: This study investigates the impact of long-term exposure to ambient air pollution on COVID-19 morbidity, showing that increases in PM2.5, PM3.0, NO2, and O-3 are associated with higher COVID-19 incidence rates, while SO2 and CO exposure do not show a significant association. More laboratory results are needed to confirm the underlying mechanisms of these associations.

AEROSOL AND AIR QUALITY RESEARCH (2021)

Article Cardiac & Cardiovascular Systems

C-reactive protein and clinical outcomes in patients with COVID-19

Nathaniel R. Smilowitz et al.

Summary: Elevated CRP levels upon hospital admission in COVID-19 patients are associated with increased risks of VTE, AKI, critical illness, and mortality, suggesting a crucial role of systemic inflammation in the clinical course of COVID-19.

EUROPEAN HEART JOURNAL (2021)

Article Infectious Diseases

Severe air pollution links to higher mortality in COVID-19 patients: The double-hit hypothesis

Antonio Frontera et al.

JOURNAL OF INFECTION (2020)

Article Medicine, General & Internal

Early Predictors of Clinical Deterioration in a Cohort of 239 Patients Hospitalized for Covid-19 Infection in Lombardy, Italy

Maurizio Cecconi et al.

JOURNAL OF CLINICAL MEDICINE (2020)

Review Medical Laboratory Technology

Biomarkers associated with COVID-19 disease progression

Giovanni Ponti et al.

CRITICAL REVIEWS IN CLINICAL LABORATORY SCIENCES (2020)

Article Infectious Diseases

C-reactive protein levels in the early stage of COVID-19

L. Wang

MEDECINE ET MALADIES INFECTIEUSES (2020)

Article Public, Environmental & Occupational Health

A brief-review of the risk factors for covid-19 severity

J. E. Rod et al.

REVISTA DE SAUDE PUBLICA (2020)

Article Infectious Diseases

Performance of pneumonia severity index and CURB-65 in predicting 30-day mortality in patients with COVID-19

Celal Satici et al.

INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES (2020)

Review Medical Laboratory Technology

Ferritin in the coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis

Linlin Cheng et al.

JOURNAL OF CLINICAL LABORATORY ANALYSIS (2020)

Review Virology

Interleukin-6 in Covid-19: A systematic review andmeta-analysis

Eric A. Coomes et al.

REVIEWS IN MEDICAL VIROLOGY (2020)

Article Critical Care Medicine

Predicting severe COVID-19 in the Emergency Department

Aleksander Rygh Holten et al.

RESUSCITATION PLUS (2020)

Article Environmental Sciences

Region-specific air pollutants and meteorological parameters influence COVID-19: A study from mainland China

Shaowei Lin et al.

ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY (2020)

Review Computer Science, Artificial Intelligence

A review of feature selection techniques in sentiment analysis

Siti Rohaidah Ahmad et al.

INTELLIGENT DATA ANALYSIS (2019)

Article Statistics & Probability

BAMLSS: Bayesian Additive Models for Location, Scale, and Shape (and Beyond)

Nikolaus Umlauf et al.

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2018)

Article Computer Science, Interdisciplinary Applications

Benchmarking relief-based feature selection methods for bioinformatics data mining

Ryan J. Urbanowicz et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2018)

Review Computer Science, Interdisciplinary Applications

Relief-based feature selection: Introduction and review

Ryan J. Urbanowicz et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2018)

Article Geriatrics & Gerontology

Neutrophil-To-Lymphocyte Ratio: An Emerging Marker Predicting Prognosis in Elderly Adults with Community-Acquired Pneumonia

Emanuela Cataudella et al.

JOURNAL OF THE AMERICAN GERIATRICS SOCIETY (2017)

Article Computer Science, Artificial Intelligence

Ordinal Regression Methods: Survey and Experimental Study

Pedro Antonio Gutierrez et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2016)

Article Computer Science, Artificial Intelligence

Training and assessing classification rules with imbalanced data

Giovanna Menardi et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2014)

Review Computer Science, Artificial Intelligence

Knowledge discovery in medicine: Current issue and future trend

Nura Esfandiari et al.

EXPERT SYSTEMS WITH APPLICATIONS (2014)

Article Computer Science, Artificial Intelligence

Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients

Susana M. Vieira et al.

APPLIED SOFT COMPUTING (2013)

Article Biochemical Research Methods

SMOTE for high-dimensional class-imbalanced data

Rok Blagus et al.

BMC BIOINFORMATICS (2013)

Article Statistics & Probability

A bias-correction for Cramer's V and Tschuprow's T

Wicher Bergsma

JOURNAL OF THE KOREAN STATISTICAL SOCIETY (2013)

Article Computer Science, Artificial Intelligence

Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy

HC Peng et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)

Article Computer Science, Artificial Intelligence

Strategies for learning in class imbalance problems

R Barandela et al.

PATTERN RECOGNITION (2003)

Article Biochemical Research Methods

Missing value estimation methods for DNA microarrays

O Troyanskaya et al.

BIOINFORMATICS (2001)