Readmission rates in the hospitals are increasingly being used as a benchmark to determine the quality of healthcare delivery to hospitalized patients.
Readmission rates in the hospitals are increasingly being used as a benchmark to determine the quality of healthcare delivery to hospitalized patients.
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Our objective is to construct predictive models that can predict whether a patient is at risk of being re-admitted in near future. In particular, we focus on.
Readmission rates in the hospitals are increasingly being used as a benchmark to determine the quality of healthcare delivery to hospitalized patients.
Predictive models have been suggested as potential tools for identifying highest risk patients for hospital readmissions, in order to improve care ...
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Automated clinical data can generate a readmission risk score early at hospitalization with fair discrimination. It may have applied value to aid early care ...
Predicting unplanned readmissions in the intensive care unit - Nature
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Sep 18, 2023 · Predicting Unplanned Readmissions in ICUs is a challenging task, as it involves analyzing different data modalities, such as static data, ...
Nov 24, 2022 · Hospital readmissions are one of the costliest challenges facing healthcare systems, but conventional models fail to predict readmissions well.
Nov 15, 2022 · The study authors noted that despite the fact that hospital readmission is widely used as a quality care measure and that models to predict ...
Jul 18, 2023 · New cancer-specific ML models accurately predict 30-day unplanned readmissions in patients with solid tumors.