Real-time machine learning model to predict short-term mortality in critically ill patients: development and international validation
Background A real-time model for predicting short-term mortality in critically ill patients is
needed to identify patients at imminent risk. However, the performance of the model needs …
needed to identify patients at imminent risk. However, the performance of the model needs …
Prioritising deteriorating patients using time-to-event analysis: prediction model development and internal–external validation
Background Binary classification models are frequently used to predict clinical deterioration,
however they ignore information on the timing of events. An alternative is to apply time-to …
however they ignore information on the timing of events. An alternative is to apply time-to …
Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy
MW Kang, J Kim, DK Kim, KH Oh, KW Joo, YS Kim… - Critical Care, 2020 - Springer
Background Previous scoring models such as the Acute Physiologic Assessment and
Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment …
Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment …
Prediction of cardiac arrest in critically ill patients presenting to the emergency department using a machine learning score incorporating heart rate variability …
Introduction A key aim of triage is to identify those with high risk of cardiac arrest, as they
require intensive monitoring, resuscitation facilities, and early intervention. We aim to …
require intensive monitoring, resuscitation facilities, and early intervention. We aim to …
A deep learning model for real-time mortality prediction in critically ill children
SY Kim, S Kim, J Cho, YS Kim, IS Sol, Y Sung, I Cho… - Critical care, 2019 - Springer
Background The rapid development in big data analytics and the data-rich environment of
intensive care units together provide unprecedented opportunities for medical …
intensive care units together provide unprecedented opportunities for medical …
Multicenter derivation and validation of an early warning score for acute respiratory failure or death in the hospital
MA Dziadzko, PJ Novotny, J Sloan, O Gajic… - Critical Care, 2018 - Springer
Background Acute respiratory failure occurs frequently in hospitalized patients and often
starts before ICU admission. A risk stratification tool to predict mortality and risk for …
starts before ICU admission. A risk stratification tool to predict mortality and risk for …
Development of a new score for early mortality prediction in trauma ICU patients: RETRASCORE
L Serviá, JA Llompart-Pou, M Chico-Fernández… - Critical Care, 2021 - Springer
Background Severity scores are commonly used for outcome adjustment and benchmarking
of trauma care provided. No specific models performed only with critically ill patients are …
of trauma care provided. No specific models performed only with critically ill patients are …
Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care
J Johnsson, O Björnsson, P Andersson, A Jakobsson… - Critical care, 2020 - Springer
Background Pre-hospital circumstances, cardiac arrest characteristics, comorbidities and
clinical status on admission are strongly associated with outcome after out-of-hospital …
clinical status on admission are strongly associated with outcome after out-of-hospital …
Assessment of performance of four mortality prediction systems in a Saudi Arabian intensive care unit
Introduction The purpose of this study is to assess the performance of Acute Physiology and
Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) II …
Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) II …
Optimized diagnosis-based comorbidity measures for all-cause mortality prediction in a national population-based ICU population
A Aronsson Dannewitz, B Svennblad, K Michaëlsson… - Critical Care, 2022 - Springer
Background We aimed to optimize prediction of long-term all-cause mortality of intensive
care unit (ICU) patients, using quantitative register-based comorbidity information assessed …
care unit (ICU) patients, using quantitative register-based comorbidity information assessed …