Multimodal fusion network for ICU patient outcome prediction
C Wang, X Yang, M Sun, Y Gu, J Niu, W Zhang - Neural Networks, 2024 - Elsevier
Over the past decades, massive Electronic Health Records (EHRs) have been accumulated
in Intensive Care Unit (ICU) and many other healthcare scenarios. The rich and …
in Intensive Care Unit (ICU) and many other healthcare scenarios. The rich and …
The Rothman Index predicts unplanned readmissions to intensive care associated with increased mortality and hospital length of stay: a propensity-matched cohort …
PF Stahel, KW Belk, SJ McInnis, K Holland… - Patient Safety in …, 2024 - Springer
Background Patients with unplanned readmissions to the intensive care unit (ICU) are at
high risk of preventable adverse events. The Rothman Index represents an objective real …
high risk of preventable adverse events. The Rothman Index represents an objective real …
Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model
Health registers contain rich information about individuals' health histories. Here our interest
lies in understanding how individuals' health trajectories evolve in a nationwide longitudinal …
lies in understanding how individuals' health trajectories evolve in a nationwide longitudinal …
Convolutional Neural Network Based Predictive Framework for Intensive Care Unit Readmission
The cost of intensive care is huge, which necessitates careful thought regarding transfer of
patients to lower-level ward care. Discharging a patient too early carries the risk of …
patients to lower-level ward care. Discharging a patient too early carries the risk of …
CARE-30: A Causally Driven Multi-Modal Model for Enhanced 30-Day ICU Readmission Predictions
L Wang, L Zhao, Z Luo, X Wang… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Accurate prediction of unplanned readmissions allows healthcare systems to adopt
preventive measures, reducing these occurrences. Creating a model that accurately predicts …
preventive measures, reducing these occurrences. Creating a model that accurately predicts …
[HTML][HTML] Development of a Nomogram for Predicting ICU Readmission
K Nakano, J Haruna, A Harada, H Tatsumi - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Background This study aims to develop and validate a comprehensive prediction model for
ICU readmissions. Readmission following ICU discharge is associated with adverse …
ICU readmissions. Readmission following ICU discharge is associated with adverse …
Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies
C Theodoropoulos, N Mulligan… - Digital Health and …, 2024 - ebooks.iospress.nl
Developing novel predictive models with complex biomedical information is challenging due
to various idiosyncrasies related to heterogeneity, standardization or sparseness of the data …
to various idiosyncrasies related to heterogeneity, standardization or sparseness of the data …
Predicting Unplanned Trauma ICU Admissions for Initial Nonoperative, Non-ICU Patients
T Zander, MA Kendall, EA Grimsley, SC Harry… - Shock, 2023 - journals.lww.com
Methods TQIP (2020-2021) was queried for initial nonoperative adult patients admitted to
non-ICU locations. Univariable analysis compared patients who required an unplanned ICU …
non-ICU locations. Univariable analysis compared patients who required an unplanned ICU …
Quality of Discharge Education: Chronic Diseases Patients' Perspectives
SE Rahmawati, T Kurniawan… - Indonesian …, 2024 - jurnal.globalhealthsciencegroup …
Readmission is a condition where a patient needs to be re-hospitalized shortly after their
initial discharge. One crucial component in preventing readmission is the quality of …
initial discharge. One crucial component in preventing readmission is the quality of …