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