Zobrazeno 1 - 10
of 103
pro vyhledávání: '"30-day hospital readmission prediction"'
Publikováno v:
American Journal of Health-System Pharmacy. 4/1/2019, Vol. 76 Issue 7, p444-452. 9p. 4 Charts, 2 Graphs.
Autor:
Swain, Matthew J., Kharrazi, Hadi
Publikováno v:
In International Journal of Medical Informatics December 2015 84(12):1048-1056
Autor:
Wen-Yen Lin, Vijay Kumar Verma
Publikováno v:
SMC
Machine learning (ML) based prediction models proved to be fast, accurate, and free from human errors with capabilities to address pressing problems in healthcare. Being progressive in nature, Chronic Obstructive Pulmonary Disease (COPD) patients req
Autor:
Rashid Jayousi, Rasha Assaf
Publikováno v:
2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT).
Patient readmission to the hospital within 30 days or 365 days is a challenging problem for hospitals as they get penalized and in many cases the Center of Medicaid and Medicare (CMS) will not reimburse the hospitals for the costs associated with the
Publikováno v:
American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists. 76(7)
Purpose A study was conducted to determine if an iterative validation process could maintain or improve the discriminative and predictive capabilities of a 30-day hospital readmission prediction index over 2.5 years. Methods Patient admissions were r
Conference
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Conference
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Autor:
Matthew J. Swain, Hadi Kharrazi
Publikováno v:
International journal of medical informatics. 84(12)
Introduction Unplanned 30-day hospital readmission account for roughly $17 billion in annual Medicare spending. Many factors contribute to unplanned hospital readmissions and multiple models have been developed over the years to predict them. Most re
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783319195506
AIME
AIME
Many studies fail to provide models for 30-day hospital re-admission prediction with satisfactory performance due to high dimensionality and sparsity. Efficient feature selection techniques allow better generalization of predictive models and improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b2bcd00d607b07f49475824308774a3
https://doi.org/10.1007/978-3-319-19551-3_11
https://doi.org/10.1007/978-3-319-19551-3_11
Many studies fail to provide models for 30 day hospital re admission prediction with satisfactory performance due to high dimensionality and sparsity. Efficient feature selection techniques allow better generalization of predictive models and improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=snsf_p3_pubs::c20f3cad266c77a45466973c4584badc