A new test and graphical tool to assess the goodness of fit of logistic regression models
A prognostic model is well calibrated when it accurately predicts event rates. This is first
determined by testing for goodness of fit with the development dataset. All existing tests and …
determined by testing for goodness of fit with the development dataset. All existing tests and …
Development and validation of a machine learning model to predict the use of renal replacement therapy in 14,374 patients with COVID-19
ARM França, E Rocha, LSL Bastos, FA Bozza… - Journal of Critical …, 2024 - Elsevier
Purpose To develop a model to predict the use of renal replacement therapy (RRT) in
COVID-19 patients. Materials and methods Retrospective analysis of multicenter cohort of …
COVID-19 patients. Materials and methods Retrospective analysis of multicenter cohort of …
SAPS-3 performance for hospital mortality prediction in 30,571 patients with COVID-19 admitted to ICUs in Brazil
Dear editor, Severity of illness scores are used for benchmarking and assessment of
adjusted mortality in intensive care units (ICU). The Acute Physiology and Chronic Health …
adjusted mortality in intensive care units (ICU). The Acute Physiology and Chronic Health …
Evaluation and calibration of SAPS 3 in patients with COVID-19 admitted to intensive care units
Dear Editor, Scoring systems are invaluable tools for research, quality assurance, and
performance comparison in intensive care medicine. They allow for adjustment for …
performance comparison in intensive care medicine. They allow for adjustment for …
A deep learning model based on MRI and clinical factors facilitates noninvasive evaluation of KRAS mutation in rectal cancer
H Liu, H Yin, J Li, X Dong, H Zheng… - Journal of Magnetic …, 2022 - Wiley Online Library
Background Recent studies showed the potential of MRIbased deep learning (DL) for
assessing treatment response in rectal cancer, but the role of MRIbased DL in evaluating …
assessing treatment response in rectal cancer, but the role of MRIbased DL in evaluating …
Development and validation of a prediction model for evaluating extubation readiness in preterm infants
W Song, YH Jung, J Cho, H Baek, CW Choi… - International Journal of …, 2023 - Elsevier
Successful early extubation has advantages not only in terms of short-term respiratory
morbidities and survival but also in terms of long-term neurodevelopmental outcomes in …
morbidities and survival but also in terms of long-term neurodevelopmental outcomes in …
Toward dynamic risk prediction of outcomes after coronary artery bypass graft: improving risk prediction with intraoperative events using gradient boosting
Background: Intraoperative data may improve models predicting postoperative events. We
evaluated the effect of incorporating intraoperative variables to the existing preoperative …
evaluated the effect of incorporating intraoperative variables to the existing preoperative …
Comparison between SAPS II and SAPS 3 in predicting hospital mortality in a cohort of 103 Italian ICUs. Is new always better?
Purpose More recent severity scores should be more reliable than older ones because they
account for the improvement in medical care over time. To provide more insight into this …
account for the improvement in medical care over time. To provide more insight into this …
What every intensivist should know about prognostic scoring systems and risk-adjusted mortality
MT Keegan, M Soares - Revista Brasileira de terapia intensiva, 2016 - SciELO Brasil
In the practice of medicine, multiple scores and prognostic systems have been developed to
quantify disease severity, assess prognosis, and guide therapeutic interventions. The …
quantify disease severity, assess prognosis, and guide therapeutic interventions. The …
Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores
R Raj, MB Skrifvars, S Bendel, T Selander, R Kivisaari… - Critical care, 2014 - Springer
Introduction The aim of this study was to evaluate the usefulness of the APACHE II (Acute
Physiology and Chronic Health Evaluation II), SAPS II (Simplified Acute Physiology Score II) …
Physiology and Chronic Health Evaluation II), SAPS II (Simplified Acute Physiology Score II) …