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Readmission Prediction

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Showing 1–38 of 38 papers

TitleStatusHype
Zero Shot Health Trajectory Prediction Using TransformerCode2
ClinicRealm: Re-evaluating Large Language Models with Conventional Machine Learning for Non-Generative Clinical Prediction TasksCode1
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional TransformerCode1
CPLLM: Clinical Prediction with Large Language ModelsCode1
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
Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission PredictionCode0
Characterizing the Value of Information in Medical NotesCode0
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital ReadmissionCode0
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial RegularizationCode0
Large Language Models for Integrating Social Determinant of Health Data: A Case Study on Heart Failure 30-Day Readmission PredictionCode0
Neural networks versus Logistic regression for 30 days all-cause readmission predictionCode0
Multimodal data matters: language model pre-training over structured and unstructured electronic health recordsCode0
Explainable Machine Learning for ICU Readmission Prediction—0
Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction—0
Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model—0
Contribution of Data Categories to Readmission Prediction Accuracy—0
Hospital Readmission Prediction - Applying Hierarchical Sparsity Norms for Interpretable Models—0
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework—0
ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling—0
When BERT Fails -- The Limits of EHR Classification—0
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance—0
An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records—0
MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction—0
Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries—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
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
Analysis of Risk Factor Domains in Psychosis Patient Health Records—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
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
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