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Readmission Prediction

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Showing 1–38 of 38 papers

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