• Predicting Mortality in Sepsis🔍
• Mortality Prediction in ICU Patients Using Machine Learning Models🔍
• Mortality prediction in chronic obstructive pulmonary disease ...🔍
• Unified baseline and longitudinal mortality prediction in idiopathic ...🔍
• Personalised risk prediction tools for cryptococcal meningitis ...🔍
• Development and validation of an interpretable machine learning for ...🔍
• Development of a biomarker prediction model for post|trauma ...🔍
• Researchers Identify Biomarker That Predicts Death in Sepsis Patients🔍

Predicting Mortality in Sepsis: The Role of Dynamic Biomarker ...

The primary outcome was 30-day mortality. A Mann–Whitney U test was used to compare the biomarker levels between the survivors and non-survivors. A Spearman's ...

Mortality Prediction in ICU Patients Using Machine Learning Models

This paper presents two mortality prediction models using the support vector machine (SVM) and linear discriminant analysis.

Mortality prediction in chronic obstructive pulmonary disease ...

Sensitivity and positive predictive values indicate that the general performance of the two models is similar and very low. Also, the ...

Unified baseline and longitudinal mortality prediction in idiopathic ...

A second risk prediction model, a model by du Bois et al. [4] (the du Bois et al. model), which was developed in a large clinical trial cohort, incorporated two ...

Personalised risk prediction tools for cryptococcal meningitis ...

Interpretation Both models accurately predict mortality, were generalisable across African trial settings, and have potential to be incorporated ...

Development and validation of an interpretable machine learning for ...

Introduction: Sepsis is a leading cause of death. However, there is a lack of useful model to predict outcome in sepsis. Herein, the aim of this study was ...

Development of a biomarker prediction model for post-trauma ...

Multiple organ failure/dysfunction syndrome (MOF/MODS) is a major cause of mortality and morbidity among severe trauma patients.

Researchers Identify Biomarker That Predicts Death in Sepsis Patients

The new biomarker, a molecule called methylthioadenosine or MTA, can predict which patients are most likely to die from the illness.

N3C Data Help Validate Two Clinical Tools to Predict COVID-19 ...

The machine-learning analysis led to the discovery of two particularly predictive models, named PLABAC and PRABLE. Each model includes four ...

28-day sepsis mortality prediction model from combined serial ...

We aimed to search for a novel 28-day sepsis mortality prediction model based on serial interleukin-6 (IL-6), lactate (LAC), and procalcitonin (PCT) ...

Integrated PERSEVERE and endothelial biomarker risk model ...

biomarker risk model predicts death and persistent MODS in pediatric septic shock: a secondary analysis of a prospective observational study.

New study develops enhanced mortality prediction model for COPD ...

Graph-based predictive models, developed from these insights, outperformed traditional indices like ADO and updated BODE in predicting both all- ...

Multi-biomarker mortality prediction in patients with aortic stenosis ...

Patients with three elevated biomarkers had a >4-fold increased risk of death. •. EuroScore had a lower prediction profile than a multi- ...

[2308.16067] Consensus of state of the art mortality prediction models

We investigated whether medical history, blood tests, prescription of medicines, and hospitalisations might, in combination, predict a ...

Oncologists vs a Machine Learning Model to Predict 3-Month ...

Besides improved performance in predicting near-term mortality, the model was more consistent in predicting 3-month mortality compared with the ...

Risk Prediction Models for Mortality in Community‐Acquired ...

We identified 20 different published risk prediction models for mortality in CAP. Four models relied on clinical variables that could be ...

The Pediatric Sepsis Biomarker Risk Model (PERSEVERE ...

Neither PERSEVERE nor PERSEVERE-II performed well to predict clinical deterioration or 28-day mortality, thus we derived new stratification models using the ...

New model predicts mortality in stable coronary heart disease

(HealthDay)—A biomarker-based model provides a new tool for the prediction of cardiovascular (CV) death in patients with stable coronary ...

The Seattle Heart Failure Model | Circulation - AHA Journals

The purpose of the study was to develop and validate a multivariate risk model to predict 1-, 2-, and 3-year survival in heart failure patients ...

View of Seventy-Two Hour Mortality Prediction Model in Patients ...

The mortality prediction model had a good performance and consisted of comorbidities, history of DKA, level of consciousness and lactate level.