A tool to predict readmission to the intensive care unit in surgical critical care patients—the RISC score
Background: Readmission to the Intensive Care Unit (ICU) is associated with a high risk of in-
hospital mortality and higher health care costs. Previously published tools to predict ICU …
hospital mortality and higher health care costs. Previously published tools to predict ICU …
Transferring clinical prediction models across hospitals and electronic health record systems
A Curth, P Thoral, W van den Wildenberg… - Machine Learning and …, 2020 - Springer
Recent years have seen a surge in studies developing clinical prediction models based on
electronic health records (EHRs) as a result of advances in machine learning techniques …
electronic health records (EHRs) as a result of advances in machine learning techniques …
[HTML][HTML] Predicting unplanned 7-day intensive care unit readmissions with machine learning models for improved discharge risk assessment
K Shi, V Ho, JJ Song, K Bechler… - AMIA Summits on …, 2022 - ncbi.nlm.nih.gov
Unplanned readmission to the intensive care unit (ICU) confers excess morbidity and
mortality. We explore whether machine learning models can outperform the current …
mortality. We explore whether machine learning models can outperform the current …
Domain adaptation using convolutional autoencoder and gradient boosting for adverse events prediction in the intensive care unit
More than 5 million patients have admitted annually to intensive care units (ICUs) in the
United States. The leading causes of mortality are cardiovascular failures, multi-organ …
United States. The leading causes of mortality are cardiovascular failures, multi-organ …
The risk assessment tool for intensive care unit readmission: A systematic review and meta-analysis
J Long, M Wang, W Li, J Cheng, M Yuan… - Intensive and Critical …, 2023 - Elsevier
Objective To review and evaluate existing risk assessment tools for intensive care
unitreadmission. Methods Nine electronic databases (Medline, CINAHL, Web of Science …
unitreadmission. Methods Nine electronic databases (Medline, CINAHL, Web of Science …
Electronic health record machine learning model predicts trauma inpatient mortality in real time: a validation study
METHODS A retrospective analysis of a trauma registry was used to identify patients
admitted to a level 1 trauma center for> 24 hours from October 2019 to July 2020. We …
admitted to a level 1 trauma center for> 24 hours from October 2019 to July 2020. We …
Gender-sensitive word embeddings for healthcare
Objective To analyze gender bias in clinical trials, to design an algorithm that mitigates the
effects of biases of gender representation on natural-language (NLP) systems trained on text …
effects of biases of gender representation on natural-language (NLP) systems trained on text …
[HTML][HTML] The prediction power of machine learning on estimating the sepsis mortality in the intensive care unit
M Selcuk, O Koc, AS Kestel - Informatics in Medicine Unlocked, 2022 - Elsevier
Background The prediction of sepsis mortality of intensive care unit (ICU) observations using
machine learning (ML) methods is hypothesized to yield better or as good as performance …
machine learning (ML) methods is hypothesized to yield better or as good as performance …
Iterated cross validation method for prediction of survival in diffuse large B-cell lymphoma for small size dataset
CC Chang, CH Chen, JG Hsieh, JH Jeng - Scientific reports, 2023 - nature.com
Efforts have been made to improve the risk stratification model for patients with diffuse large
B-cell lymphoma (DLBCL). This study aimed to evaluate the disease prognosis using …
B-cell lymphoma (DLBCL). This study aimed to evaluate the disease prognosis using …
Predictors of in-ICU length of stay among congenital heart defect patients using artificial intelligence model: A pilot study
Objective This study aims to develop a predictive model using artificial intelligence to
estimate the ICU length of stay (LOS) for Congenital Heart Defects (CHD) patients after …
estimate the ICU length of stay (LOS) for Congenital Heart Defects (CHD) patients after …