⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

June 24, 2024HeliyonOpen Access

A novel clinical prediction model for in-hospital mortality in sepsis patients complicated by ARDS: A MIMIC IV database and external validation study

Ying Chen Chengzhu Zong Linxuan Zou Zhe Zhang Tianke Yang Junwei Zong Xianyao Wan

View Full Paper

Ask AI

Bookmark

Share

Abstract

Sepsis complicated by ARDS significantly increases morbidity and mortality, underscoring the need for robust predictive models to enhance patient management.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Chen et al. (2024) studied this question.

synapsesocial.com/papers/68e63804b6db6435875c9f00 https://doi.org/10.1016/j.heliyon.2024.e33337

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Predicting Mortality in Sepsis-Associated Acute Respiratory Distress Syndrome: A Machine Learning Approach Using the MIMIC-III Database2024 · 10 citations
2Development and validation of a prognostic model for acute respiratory distress syndrome in critically Ill patients with intra-abdominal sepsis: a multicenter cohort studyCohort Study · 2026 · 1 citations
3Under the background of the new global definition of ARDS: an interpretable machine learning approach for predicting 28-day ICU mortality in patients with sepsis complicated by ARDS2025 · 4 citations
4Interpretable Machine Learning for In-Hospital Mortality Prediction in Patients With Diabetes and ARDS: Development and External ValidationCohort Study · 2026
5Machine learning-based risk prediction of 28-day mortality for sepsis patients with augmented renal clearanceReview · 2026

More related papers

ARDSMLpred: A machine learning model for predicting SCAP-associated ARDS based on MIMIC-IV database2026
Prediction models for mortality in patients with sepsis: a systematic review and meta-analysis2026
Machine learning for the early prediction of acute respiratory distress syndrome (ARDS) in patients with sepsis in the ICU based on clinical data2024

More from Heliyon

Optimization of a two-high cambered mill for the foil rollingSat,
Multi-omics profiling of esophagus basaloid squamous cell carcinoma reveals potential signatures for diagnosis and therapeuticsFri,