Readmission Prediction
9 papers with code • 0 benchmarks • 0 datasets
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Latest papers
Representation Learning for Person or Entity-centric Knowledge Graphs: An Application in Healthcare
KGs are used to discover diagnoses or prioritize genes relevant to disease, but they often rely on schemas that are not centred around a node or entity of interest, such as a person.
Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction
We assess the sensitivity score on a set of representative words in the test set using two classifiers trained for hospital readmission classification with similar performance statistics.
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission
Measures to predict 30-day readmission are considered an important quality factor for hospitals as accurate predictions can reduce the overall cost of care by identifying high risk patients before they are discharged.
Multimodal data matters: language model pre-training over structured and unstructured electronic health records
As two important textual modalities in electronic health records (EHR), both structured data (clinical codes) and unstructured data (clinical narratives) have recently been increasingly applied to the healthcare domain.
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization
qiuhaolu/mrgae
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COLING 2020
Network representation learning (NRL) is crucial in the area of graph learning.
Characterizing the Value of Information in Medical Notes
Machine learning models depend on the quality of input data.
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
google-health/records-research
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A recent study showed that using the graphical structure underlying EHR data (e. g. relationship between diagnoses and treatments) improves the performance of prediction tasks such as heart failure prediction.
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
kexinhuang12345/clinicalBERT
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Clinical notes contain information about patients that goes beyond structured data like lab values and medications.
Neural networks versus Logistic regression for 30 days all-cause readmission prediction
Among the deep learning approaches, a recurrent neural network (RNN) combined with conditional random fields (CRF) model (RNNCRF) achieved the best performance in readmission prediction with 0. 642 AUC (95% CI, 0. 640-0. 645).
