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Academic Journal

Relationship between patient experience and hospital readmission: system-level survey with deterministic data linkage method.

  • Authors : Wong EL; Centre for Health Systems and Policy Research, JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China. .; Poon CM

Subjects: Hospitalization* ; Patient Readmission*; Humans

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2022 Jul 21; Vol. 22 (1), pp. 197. Date of Electronic Publication: 2022 Jul 21.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288

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Academic Journal

A hybrid machine learning framework to improve prediction of all-cause rehospitalization among elderly patients in Hong Kong.

  • Authors : Guan J; Epitelligence, Hong Kong SAR, China.; Leung E

Subjects: Patient Readmission* ; Hospitalization*; Aged

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2023 Jan 13; Vol. 23 (1), pp. 14. Date of Electronic Publication: 2023 Jan 13.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288

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Academic Journal

Application of machine learning in predicting hospital readmissions: a scoping review of the literature.

  • Authors : Huang Y; Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, 4849 Calhoun Road, Health & Sciences Bldg 2, Houston, TX, 77204, USA.; Talwar A

Subjects: Machine Learning* ; Patient Readmission*; Humans

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2021 May 06; Vol. 21 (1), pp. 96. Date of Electronic Publication: 2021 May 06.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288

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Academic Journal

Common sampling and modeling approaches to analyzing readmission risk that ignore clustering produce misleading results.

  • Authors : Zhao H; Department of Clinical Sciences, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, 19140, USA.; Tanner S

Subjects: Patient Discharge* ; Patient Readmission*; Adult

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2020 Nov 25; Vol. 20 (1), pp. 281. Date of Electronic Publication: 2020 Nov 25.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288

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Academic Journal

Towards a patient journey perspective on causes of unplanned readmissions using a classification framework: results of a systematic review with narrative synthesis.

  • Authors : Singotani RG; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health research institute, Van der Boechorststraat 7, NL-1081 BT, Amsterdam, The Netherlands.; Karapinar F

Subjects: Data Mining/Data Mining/Data Mining/*statistics & numerical data ; Length of Stay/Length of Stay/Length of Stay/*statistics & numerical data ; Patient Discharge/Patient Discharge/Patient Discharge/*statistics & numerical data

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2019 Oct 04; Vol. 19 (1), pp. 189. Date of Electronic Publication: 2019 Oct 04.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288

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Academic Journal

How do studies assess the preventability of readmissions? A systematic review with narrative synthesis.

  • Authors : Kneepkens EL; Department of Clinical Pharmacy, OLVG Hospital, Jan Tooropstraat 164, 1061 AE, Amsterdam, The Netherlands.; Brouwers C

Subjects: Length of Stay/Length of Stay/Length of Stay/*statistics & numerical data ; Medical Records/Medical Records/Medical Records/*statistics & numerical data ; Patient Discharge/Patient Discharge/Patient Discharge/*statistics & numerical data

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2019 Jun 19; Vol. 19 (1), pp. 128. Date of Electronic Publication: 2019 Jun 19.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288

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Academic Journal

AutoScore-Ordinal: an interpretable machine learning framework for generating scoring models for ordinal outcomes.

  • Authors : Saffari SE; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.; Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.

Subjects: Aftercare* ; Patient Discharge*; Humans

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2022 Nov 04; Vol. 22 (1), pp. 286. Date of Electronic Publication: 2022 Nov 04.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288

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Academic Journal

Understanding the groups of care transition strategies used by U.S. hospitals: an application of factor analytic and latent class methods.

  • Authors : Mays G; Department of Health Systems, Management and Policy, Colorado School of Public Health, Colorado University, Anschutz, USA.; Li J

Subjects: Medicare* ; Patient Transfer*; Aged

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2021 Oct 25; Vol. 21 (1), pp. 228. Date of Electronic Publication: 2021 Oct 25.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288

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Academic Journal

Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework

Subjects: [SDV.MHEP.HEM] Life Sciences [q-bio]/Human health and pathology/Hematology; FOS: Computer and information sciences; Machine learning methods

  • Source: BMC Med Res MethodolBMC Medical Research Methodology, Vol 19, Iss 1, Pp 1-9 (2019)

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Academic Journal

Comparison of predictive modeling approaches for 30-day all-cause non-elective readmission risk.

  • Authors : Tong L; Advocate Health Care, 3075 Highland Parkway, Downers Grove, IL, 60515, USA. .; Erdmann C

Subjects: Models, Statistical*; Electronic Health Records/Electronic Health Records/Electronic Health Records/*statistics & numerical data ; Length of Stay/Length of Stay/Length of Stay/*statistics & numerical data

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2016 Feb 27; Vol. 16, pp. 26. Date of Electronic Publication: 2016 Feb 27.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288

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  • 1-10 of  28 results for ""Patient Readmission""