Readmission Prediction
9 papers with code • 0 benchmarks • 0 datasets
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Latest papers with no code
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
We propose using an evaluation model $-$ a model that describes the conditional distribution of the predictive model score $-$ to form model-based metric (MBM) estimates.
Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction
Although a point process (e. g., Hawkes process) is able to model a cascade temporal relationship, it strongly relies on a prior generative process assumption.
Noise Pollution in Hospital Readmission Prediction: Long Document Classification with Reinforcement Learning
This paper presents a reinforcement learning approach to extract noise in long clinical documents for the task of readmission prediction after kidney transplant.
Predicting Heart Failure Readmission from Clinical Notes Using Deep Learning
We then use the trained models to classify and predict potentially high-risk admissions/patients.
Analysis of Risk Factor Domains in Psychosis Patient Health Records
Readmission after discharge from a hospital is disruptive and costly, regardless of the reason.
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework
We then compare performances of all methods both in terms of risk prediction and variable selection, with a focus on the use of Elastic-Net regularization technique.
Hospital Readmission Prediction - Applying Hierarchical Sparsity Norms for Interpretable Models
However, we focus on assigning a readmission risk label to a patient based on their disease history.
Contribution of Data Categories to Readmission Prediction Accuracy
Identification of patients at high risk for readmission could help reduce morbidity and mortality as well as healthcare costs.
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records
The same hold for the bag of treatments.
