Learning electronic health records through hyperbolic embedding of medical ontologies
Unplanned intensive care units (ICU) readmissions and in-hospital mortality of patients are
two important metrics for evaluating the quality of hospital care. Identifying patients with …
two important metrics for evaluating the quality of hospital care. Identifying patients with …
[HTML][HTML] Knowledge Graph Embeddings for ICU readmission prediction
Abstract Background Intensive Care Unit (ICU) readmissions represent both a health risk for
patients, with increased mortality rates and overall health deterioration, and a financial …
patients, with increased mortality rates and overall health deterioration, and a financial …
Predicting clinical outcomes across changing electronic health record systems
Existing machine learning methods typically assume consistency in how semantically
equivalent information is encoded. However, the way information is recorded in databases …
equivalent information is encoded. However, the way information is recorded in databases …
[HTML][HTML] Fusion of sequential visits and medical ontology for mortality prediction
K Niu, Y Lu, X Peng, J Zeng - Journal of Biomedical Informatics, 2022 - Elsevier
The goal of mortality prediction task is to predict the future death risk of patients according to
their previous Electronic Healthcare Records (EHR). The main challenge of mortality …
their previous Electronic Healthcare Records (EHR). The main challenge of mortality …
[HTML][HTML] Dynamic estimation of the probability of patient readmission to the ICU using electronic medical records
K Caballero, R Akella - AMIA Annual Symposium Proceedings, 2015 - ncbi.nlm.nih.gov
In this paper, we propose a framework to dynamically estimate the probability that a patient
is readmitted after he is discharged from the ICU and transferred to a lower level care. We …
is readmitted after he is discharged from the ICU and transferred to a lower level care. We …
Predicting patient readmission risk from medical text via knowledge graph enhanced multiview graph convolution
Unplanned intensive care unit (ICU) readmission rate is an important metric for evaluating
the quality of hospital care. Efficient and accurate prediction of ICU readmission risk can not …
the quality of hospital care. Efficient and accurate prediction of ICU readmission risk can not …
[HTML][HTML] Learning latent space representations to predict patient outcomes: Model development and validation
Background Scalable and accurate health outcome prediction using electronic health record
(EHR) data has gained much attention in research recently. Previous machine learning …
(EHR) data has gained much attention in research recently. Previous machine learning …
[HTML][HTML] Augmented intelligence facilitates concept mapping across different electronic health records
TA Dam, LM Fleuren, LF Roggeveen, M Otten… - International journal of …, 2023 - Elsevier
Introduction With the advent of artificial intelligence, the secondary use of routinely collected
medical data from electronic healthcare records (EHR) has become increasingly popular …
medical data from electronic healthcare records (EHR) has become increasingly popular …
Discriminative features generation for mortality prediction in icu
Effective methods for mortality prediction for Intensive Care Unit (ICU) patients assist health
professionals by producing alerts ahead of time regarding the critical changing …
professionals by producing alerts ahead of time regarding the critical changing …
Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs
Predicting the risk of in-hospital mortality from electronic health records (EHRs) has received
considerable attention. Such predictions will provide early warning of a patient's health …
considerable attention. Such predictions will provide early warning of a patient's health …