Literature DB >> 33501531

Development of an Institution-Specific Readmission Risk Prediction Model for Real-time Prediction and Patient-Centered Interventions.

Ann-Marcia C Tukpah1, Eric Cawi2, Laurie Wolf3, Arye Nehorai2, Lenise Cummings-Vaughn4.   

Abstract

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Year:  2021        PMID： 33501531      PMCID： PMC8642464          DOI： 10.1007/s11606-020-06549-9

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN： 0884-8734            Impact factor:   5.128


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  6 in total

1.  A comparison of models for predicting early hospital readmissions.

Authors:  Joseph Futoma; Jonathan Morris; Joseph Lucas
Journal:  J Biomed Inform       Date:  2015-06-01       Impact factor: 6.317

2.  Comparison of Machine Learning Algorithms for the Prediction of Preventable Hospital Readmissions.

Authors:  Andres Garcia-Arce; Florentino Rico; José L Zayas-Castro
Journal:  J Healthc Qual       Date:  2018 May/Jun       Impact factor: 1.095

3.  Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community.

Authors:  Carl van Walraven; Irfan A Dhalla; Chaim Bell; Edward Etchells; Ian G Stiell; Kelly Zarnke; Peter C Austin; Alan J Forster
Journal:  CMAJ       Date:  2010-03-01       Impact factor: 8.262

4.  Predicting readmission risk with institution-specific prediction models.

Authors:  Shipeng Yu; Faisal Farooq; Alexander van Esbroeck; Glenn Fung; Vikram Anand; Balaji Krishnapuram
Journal:  Artif Intell Med       Date:  2015-08-22       Impact factor: 5.326

5.  Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in Singapore.

Authors:  Lian Leng Low; Kheng Hock Lee; Marcus Eng Hock Ong; Sijia Wang; Shu Yun Tan; Julian Thumboo; Nan Liu
Journal:  Biomed Res Int       Date:  2015-11-23       Impact factor: 3.411

6.  Designing machine learning workflows with an application to topological data analysis.

Authors:  Eric Cawi; Patricio S La Rosa; Arye Nehorai
Journal:  PLoS One       Date:  2019-12-02       Impact factor: 3.240
  6 in total

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