Readmission Prediction
9 papers with code • 0 benchmarks • 0 datasets
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Latest papers with no code
Enhancing Readmission Prediction with Deep Learning: Extracting Biomedical Concepts from Clinical Texts
A novel aspect of this research involves leveraging the Bio-Discharge Summary Bert (BDSS) model along with principal component analysis (PCA) feature extraction to preprocess data for deep learning model input.
Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model
Overall, this study provides new insights for enhancing the deployment of large language models in the societally important domain of healthcare, and improving their performance for broader populations.
MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction
Hospital readmission prediction is considered an essential approach to decreasing readmission rates, which is a key factor in assessing the quality and efficacy of a healthcare system.
An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records
With the increasing availability of patients' data, modern medicine is shifting towards prospective healthcare.
Explainable Machine Learning for ICU Readmission Prediction
Readmission contributes to this pathway's difficulty, occurring when patients are admitted again to the ICU in a short timeframe, resulting in high mortality rates and high resource utilisation.
Predicting Unplanned Readmissions in the Intensive Care Unit: A Multimodality Evaluation
Hospital readmissions are a significant problem in the healthcare domain, as they lead to increased hospitalization costs, decreased patient satisfaction, and increased risk of adverse outcomes such as infections, medication errors, and even death.
When BERT Fails -- The Limits of EHR Classification
Transformers are powerful text representation learners, useful for all kinds of clinical decision support tasks.
Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database
We further show that the transfer learning approach based on the BAN produces models that are better than those trained on just a single institution's data.
Predictive Modeling of Hospital Readmission: Challenges and Solutions
Hospital readmission prediction is a study to learn models from historical medical data to predict probability of a patient returning to hospital in a certain period, 30 or 90 days, after the discharge.
Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder
In 2019, The Centers for Medicare and Medicaid Services (CMS) launched an Artificial Intelligence (AI) Health Outcomes Challenge seeking solutions to predict risk in value-based care for incorporation into CMS Innovation Center payment and service delivery models.
