Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My Custom Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1970 2
1971 2
1972 1
1974 3
1975 5
1976 3
1977 8
1978 4
1979 4
1980 1
1981 5
1982 3
1983 8
1984 13
1985 11
1986 4
1987 7
1988 14
1989 8
1990 11
1991 15
1992 15
1993 17
1994 20
1995 29
1996 29
1997 31
1998 28
1999 43
2000 39
2001 50
2002 52
2003 64
2004 69
2005 56
2006 92
2007 102
2008 128
2009 115
2010 147
2011 163
2012 179
2013 289
2014 353
2015 448
2016 501
2017 573
2018 665
2019 737
2020 790
2021 882
2022 862
2023 833
2024 809
2025 219

Publication date

Text availability

Article attribute

Article type

Additional filters

Article Language

Species

Sex

Age

Other

Search Results

8,084 results

Results by year

Filters applied: . Clear all
Page 1
Application of machine learning in predicting hospital readmissions: a scoping review of the literature.
Huang Y, Talwar A, Chatterjee S, Aparasu RR. Huang Y, et al. BMC Med Res Methodol. 2021 May 6;21(1):96. doi: 10.1186/s12874-021-01284-z. BMC Med Res Methodol. 2021. PMID: 33952192 Free PMC article.
BACKGROUND: Advances in machine learning (ML) provide great opportunities in the prediction of hospital readmission. This review synthesizes the literature on ML methods and their performance for predicting hospital readmission in the US. ...CONCLUSION …
BACKGROUND: Advances in machine learning (ML) provide great opportunities in the prediction of hospital readmission. This revi …
Predicting Hospital Readmissions in a Commercially Insured Population over Varying Time Horizons.
Henderson M, Hirshon JM, Han F, Donohue M, Stockwell I. Henderson M, et al. J Gen Intern Med. 2023 May;38(6):1417-1422. doi: 10.1007/s11606-022-07950-2. Epub 2022 Nov 28. J Gen Intern Med. 2023. PMID: 36443626 Free PMC article.
BACKGROUND: Reducing hospital readmissions is a federal policy priority, and predictive models of hospital readmissions have proliferated in recent years; however, most such models tend to focus on the 30-day readmission time horizon and do not conside …
BACKGROUND: Reducing hospital readmissions is a federal policy priority, and predictive models of hospital readmissions …
Nursing Variables Predicting Readmissions in Patients With a High Risk: A Scoping Review.
Lee JY, Park J, Choi H, Oh EG. Lee JY, et al. Comput Inform Nurs. 2024 Dec 1;42(12):852-861. doi: 10.1097/CIN.0000000000001172. Comput Inform Nurs. 2024. PMID: 39093059
Unplanned readmission endangers patient safety and increases unnecessary healthcare expenditure. Identifying nursing variables that predict patient readmissions can aid nurses in providing timely nursing interventions that help patients avoid readmission …
Unplanned readmission endangers patient safety and increases unnecessary healthcare expenditure. Identifying nursing variables that …
Predicting unplanned readmissions in the intensive care unit: a multimodality evaluation.
Sheetrit E, Brief M, Elisha O. Sheetrit E, et al. Sci Rep. 2023 Sep 18;13(1):15426. doi: 10.1038/s41598-023-42372-y. Sci Rep. 2023. PMID: 37723231 Free PMC article.
Using our evaluation process, we are able to determine the contribution of each data modality, and for the first time in the context of readmission, establish a hierarchy of their predictive value. Additionally, we demonstrate the impact of Temporal Abstractions in …
Using our evaluation process, we are able to determine the contribution of each data modality, and for the first time in the context of r …
Predicting Hospital Readmissions After Total Shoulder Arthroplasty Within a Bundled Payment Cohort.
Pezzulo JD, Farronato DM, Rondon AJ, Sherman MB, Getz CL, Davis DE. Pezzulo JD, et al. J Am Acad Orthop Surg. 2023 Feb 15;31(4):199-204. doi: 10.5435/JAAOS-D-22-00449. Epub 2022 Oct 13. J Am Acad Orthop Surg. 2023. PMID: 36413375
INTRODUCTION: Given the rising demand for shoulder arthroplasty, understanding risk factors associated with unplanned hospital readmission is imperative. No study to date has examined the influence of patient and hospital-specific factors as a predictive model for 9 …
INTRODUCTION: Given the rising demand for shoulder arthroplasty, understanding risk factors associated with unplanned hospital readmissio …
Predicting preventable hospital readmissions with causal machine learning.
Marafino BJ, Schuler A, Liu VX, Escobar GJ, Baiocchi M. Marafino BJ, et al. Health Serv Res. 2020 Dec;55(6):993-1002. doi: 10.1111/1475-6773.13586. Epub 2020 Oct 30. Health Serv Res. 2020. PMID: 33125706 Free PMC article.
OBJECTIVE: To assess both the feasibility and potential impact of predicting preventable hospital readmissions using causal machine learning applied to data from the implementation of a readmissions prevention intervention (the Transitions Program). ...PRINCI …
OBJECTIVE: To assess both the feasibility and potential impact of predicting preventable hospital readmissions using causal ma …
Predicting Hospital Readmissions in Patients Receiving Novel-Dose Sacubitril/Valsartan Therapy: A Competing-Risk, Causal Mediation Analysis.
Hou C, Hao X, Sun N, Luo X, Gao Z, Chen L, Liu X, Qin Z. Hou C, et al. J Cardiovasc Pharmacol Ther. 2023 Jan-Dec;28:10742484231219603. doi: 10.1177/10742484231219603. J Cardiovasc Pharmacol Ther. 2023. PMID: 38099726 Free article.
Backgrounds: Our study aimed to identify and predict patients with heart failure (HF) taking novel-dose Sacubitril/Valsartan (S/V) at risk for all-cause readmission, as well as investigate the possible role of left ventricular reverse remodeling (LVRR). ...Conclusio …
Backgrounds: Our study aimed to identify and predict patients with heart failure (HF) taking novel-dose Sacubitril/Valsartan (S/V) at …
Predicting Hospital Readmissions from Home Healthcare in Medicare Beneficiaries.
Jones CD, Falvey J, Hess E, Levy CR, Nuccio E, Barón AE, Masoudi FA, Stevens-Lapsley J. Jones CD, et al. J Am Geriatr Soc. 2019 Dec;67(12):2505-2510. doi: 10.1111/jgs.16153. Epub 2019 Aug 29. J Am Geriatr Soc. 2019. PMID: 31463941 Free PMC article.
OBJECTIVE: To use patient-level clinical variables to develop and validate a parsimonious model to predict hospital readmissions from home healthcare (HHC) in Medicare fee-for-service beneficiaries. ...The Brier score for both models was 0.120, indicating good calib …
OBJECTIVE: To use patient-level clinical variables to develop and validate a parsimonious model to predict hospital readmissions …
Predicting Hospital Readmissions from Health Insurance Claims Data: A Modeling Study Targeting Potentially Inappropriate Prescribing.
Gerharz A, Ruff C, Wirbka L, Stoll F, Haefeli WE, Groll A, Meid AD. Gerharz A, et al. Methods Inf Med. 2022 May;61(1-02):55-60. doi: 10.1055/s-0042-1742671. Epub 2022 Feb 10. Methods Inf Med. 2022. PMID: 35144291
PIP at the index admission was determined by the STOPP/START criteria (Screening Tool of Older Persons' Prescriptions/Screening Tool to Alert doctors to the Right Treatment) which were candidate variables in regularized prediction models for specific readmission wit …
PIP at the index admission was determined by the STOPP/START criteria (Screening Tool of Older Persons' Prescriptions/Screening Tool to Aler …
Predicting 30-Day Readmissions: Evidence From a Small Rural Psychiatric Hospital.
Daley A, Scobie B, Shorey J, Breece J, Oxley S. Daley A, et al. J Psychiatr Pract. 2021 Sep 16;27(5):346-360. doi: 10.1097/PRA.0000000000000574. J Psychiatr Pract. 2021. PMID: 34529601
Our objective in this study was to derive and validate a predictive model of 30-day readmissions for a small rural psychiatric hospital in the northeast. ...We first considered the correlates of 30-day readmission in a regression framework. We found that the …
Our objective in this study was to derive and validate a predictive model of 30-day readmissions for a small rural psychiatric …
8,084 results