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Readmission Prediction

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Showing 1–38 of 38 papers

TitleStatusHype
Zero Shot Health Trajectory Prediction Using TransformerCode2
Representation Learning for Person or Entity-centric Knowledge Graphs: An Application in HealthcareCode1
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmissionCode1
CPLLM: Clinical Prediction with Large Language ModelsCode1
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional TransformerCode1
ClinicRealm: Re-evaluating Large Language Models with Conventional Machine Learning for Non-Generative Clinical Prediction TasksCode1
Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database—0
Enhancing Readmission Prediction with Deep Learning: Extracting Biomedical Concepts from Clinical Texts—0
Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies—0
Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder—0
Explainable Machine Learning for ICU Readmission Prediction—0
Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model—0
Hospital Readmission Prediction - Applying Hierarchical Sparsity Norms for Interpretable Models—0
When BERT Fails -- The Limits of EHR Classification—0
Analysis of Risk Factor Domains in Psychosis Patient Health Records—0
An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records—0
ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling—0
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework—0
Contribution of Data Categories to Readmission Prediction Accuracy—0
Predicting Unplanned Readmissions in the Intensive Care Unit: A Multimodality Evaluation—0
Predictive Modeling of Hospital Readmission: Challenges and Solutions—0
PT: A Plain Transformer is Good Hospital Readmission Predictor—0
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records—0
Static and multivariate-temporal attentive fusion transformer for readmission risk prediction—0
Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction—0
Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries—0
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance—0
MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction—0
Noise Pollution in Hospital Readmission Prediction: Long Document Classification with Reinforcement Learning—0
Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning Model—0
Predicting Heart Failure Readmission from Clinical Notes Using Deep Learning—0
Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission PredictionCode0
Large Language Models for Integrating Social Determinant of Health Data: A Case Study on Heart Failure 30-Day Readmission PredictionCode0
Characterizing the Value of Information in Medical NotesCode0
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial RegularizationCode0
Multimodal data matters: language model pre-training over structured and unstructured electronic health recordsCode0
Neural networks versus Logistic regression for 30 days all-cause readmission predictionCode0
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital ReadmissionCode0
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