Evaluating clinical heterogeneity and predicting mortality in severely ...

Burn injuries often result in a high level of clinical heterogeneity and poor prognosis in patients with severe burns.

[PDF] Evaluating clinical heterogeneity and predicting mortality in ...

Evaluating clinical heterogeneity and predicting mortality in severely burned patients through unsupervised clustering and latent class analysis · Sungmin Kim, ...

Burn injuries often result in a high level of clinical heterogeneity and poor prognosis in patients with severe burns. Clustering algorithms, which are ...

Evaluating clinical heterogeneity and predicting mortality in severely ...

Evaluating clinical heterogeneity and predicting mortality in severely burned patients through unsupervised clustering and latent class analysis. Sci. Rep ...

Advanced biomarker clustering analysis reveals mortality predictors ...

Evaluating clinical heterogeneity and predicting mortality in severely burned patients through unsupervised clustering and latent class analysis.

Heterogeneity and Risk of Bias in Studies Examining Risk Factors ...

The clinical outcomes that are reported are death, severe illness, and admission to the ICU. The exposure variables that are examined in the studies include ...

Predicting the risk of mortality during hospitalization in sick severely ...

... severely malnourished children using daily evaluation of key clinical warning signs ... Because of their clinical relevance for mortality ...

Clinical Prediction Model for 1-Year Mortality in Patients With ...

The prediction model was validated through internal-external validation to evaluate heterogeneity in model performance across the study ...

Predicting mortality in febrile adults: comparative performance of the ...

Clinical severity scores can identify patients at risk of severe disease and death, and improve patient management. The modified early ...

Clinical Examination for the Prediction of Mortality in the Critically Ill

They often evaluated one or two clinical signs in isolation, instead of assessing a combination of signs and symptoms, which would more accurately reflect daily ...

Two-Stage Approaches to Accounting for Patient Heterogeneity in ...

... heterogeneity among oncology patients of different cancer types for predicting their risk of mortality. Structured data were extracted from ...

Comparing different scoring systems for predicting mortality risk in ...

Studies indicate that timely and effective disease assessment and mortality risk prediction may greatly reduce clinical mortality among preterm infants (4). The ...

Predicting In-Hospital Mortality in Severe COVID-19 - MDPI

Overall, 71 studies, which derived a clinical prediction rule for mortality outcome from COVID-19, were identified. Predictive variables ...

Identification of clinical heterogeneity and construction of a novel ...

In this study, we used unsupervised machine learning (UML) to classify patients with AS based on clinical characteristics. We then constructed a novel subtype ...

On classifying sepsis heterogeneity in the ICU: insight using ...

Such task will prioritize the features used for prediction using preprocessing steps that map patients' routinely collected clinical data to previously derived ...

Clinical prediction models for mortality in patients with covid-19

In this large international study, we found considerable heterogeneity in the performance of the prognostic models for predicting short term ...

Assessing and reporting heterogeneity in treatment effects in clinical ...

... prediction can greatly enhance the statistical power of clinical trial subgroup analysis. ... severe sepsis and a low risk of death. N Engl ...

Mortality prediction using clinical and laboratory features in elderly ...

ROC, receiver operating characteristic; SCAP, severe community-acquired pneumonia; COPD, chronic obstructive pulmonary disorder. Table 4. Prognostic evaluation ...

Establishment and assessment of mortality risk prediction model in ...

Studies show that T lymphocyte subsets are important indicators for evaluating immune function. Sepsis is a clinical syndrome with heterogeneity, high morbidity ...

Mortality prediction in intensive care units including premorbid ...

Due to the clinical heterogeneity ... Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill ...