Neural networks versus Logistic regression for 30 days all-cause readmission prediction

Author:

Allam Ahmed,Nagy Mate,Thoma George,Krauthammer Michael

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference43 articles.

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2. Fingar, K. R., Barrett, M. L. & Jiang, H. J. A Comparison of All-Cause 7-Day and 30-Day Readmissions, 2014, https://www.hcup-us.ahrq.gov/reports/statbriefs/sb230-7-Day-Versus-30-Day-Readmissions.jsp (2017).

3. Bergethon, K. E. et al. Trends in 30-Day Readmission Rates for Patients Hospitalized with Heart Failure: Findings from the Get with the Guidelines-Heart Failure Registry. Circ. Hear. Fail. 9, e002594, https://doi.org/10.1161/CIRCHEARTFAILURE.115.002594 (2016).

4. Desai, A. S. & Stevenson, L. W. Rehospitalization for Heart Failure. Circ. 126, 501–506, https://doi.org/10.1161/CIRCULATIONAHA.112.125435 (2012).

5. Ross, J. S. et al. Recent National Trends in Readmission Rates After Heart Failure Hospitalization. Circ. Hear. Fail. 3, 97–103, https://doi.org/10.1161/CIRCHEARTFAILURE.109.885210 (2010).

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