A machine|learning approach for prediction of hospital mortality in ...

A machine-learning approach for prediction of hospital mortality in ...

The CatBoost model had the most powerful discrimination to predict hospital mortality in our study, with a sensitivity of 76% and a specificity of 74%.

Machine Learning Approach for the Prediction of In-Hospital ...

SVM was found to be the best-performing ML model in predicting the mortality of TBI patients. It had the highest AUC score and did not show ...

Machine learning models for predicting in-hospital mortality in ...

Machine learning methods can predict in-hospital mortality in sepsis patients in an intensive care unit (ICU) (14). At the time of sepsis onset, Barton et al.

Machine Learning Approach to Predict In‐Hospital Mortality in ...

This study aims to develop ML models to predict in‐hospital mortality in patients hospitalized for PAD based on a national database.

Machine learning for the prediction of in-hospital mortality in patients ...

This study aimed to develop a machine learning (ML)-based tool for early and accurate prediction of in-hospital mortality risk in patients with spontaneous ...

Using machine learning methods to predict in-hospital mortality of ...

Early and accurate identification of sepsis patients with high risk of in-hospital death can help physicians in intensive care units (ICUs) ...

A Machine Learning Model to Predict In-Hospital Mortality of Adults ...

A machine learning model demonstrated good discrimination in predicting in-hospital mortality for patients at the time of admission.

A machine learning-based prediction of hospital mortality in ... - PLOS

We developed a Machine Learning (ML) framework to predict hospital mortality in ICU patients receiving MV. Using the MIMIC-III database, we identified 25,202 ...

A Machine Learning Based Approach for ICU Patients' In-Hospital ...

Abstract: Early prediction of in-hospital mortality in Intensive Care Unit (ICU) patients is crucial for optimizing resource allocation, ...

Deep learning-based prediction of in-hospital mortality for sepsis

We refine the core indicators for mortality risk assessment of sepsis from massive clinical electronic medical records with machine learning.

Machine learning techniques for mortality prediction in emergency ...

Objectives This systematic review aimed to assess the performance and clinical feasibility of machine learning (ML) algorithms in prediction of in-hospital ...

A Machine Learning Approach to Predict In-Hospital Mortality in C...

Since COVID-19 disease is prevalent, using advanced statistical tools can upgrade clinical decision making by identifying high risk patients at ...

a multi-domain machine learning approach to predicting in-hospital ...

Background: Current machine-learning (ML) models have been developed to predict mortality for specific diseases, procedures, and setting at a given time; ...

Machine Learning Prediction Models for In-Hospital Mortality After ...

The overall in-hospital mortality was 3.6%. Overall, prediction models' performance measured by area under the curve were good (>0.80). The best ...

(PDF) Machine learning-based prediction of in-hospital mortality ...

In this study, we aimed to generate an accurate prediction model of in-hospital mortality using machine learning techniques. Patients 18 years ...

Short-term All-cause In-hospital Mortality Prediction by Machine ...

Conclusions: Mortality prediction within 7 days by machine learning using numeric laboratory results was significantly better than that by conventional CVL. The ...

Prediction of In‐hospital Mortality in Emergency Department Patients ...

In this proof-of-concept study, a local, big data–driven, machine learning approach is compared to existing CDRs and traditional analytic ...

Machine Learning Approaches to Predict In-Hospital Mortality ...

We aimed to utilize machine learning approaches to predict neonatal in-hospital mortality through data-driven learning.

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

The results indicate the superiority of the proposed approach over previous techniques in sepsis mortality prediction. By leveraging advanced ML algorithms, our ...

Predicting sepsis in-hospital mortality with machine learning: a multi ...

This study aimed to develop and validate an interpretable machine-learning model that utilizes clinical features and inflammatory biomarkers to predict the ...