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Preventing inpatient falls with injuries using integrative machine learning prediction: a cohort study
Patient falls during hospitalization can lead to severe injuries and remain one of the most vexing patient-safety problems facing hospitals. They lead to increased medical care costs, lengthened hospital stays, more litigation, and even death. Existing methods and technology to address this problem...
Autores principales: | Wang, Lin, Xue, Zhong, Ezeana, Chika F., Puppala, Mamta, Chen, Shenyi, Danforth, Rebecca L., Yu, Xiaohui, He, Tiancheng, Vassallo, Mark L., Wong, Stephen T. C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6908660/ https://www.ncbi.nlm.nih.gov/pubmed/31872067 http://dx.doi.org/10.1038/s41746-019-0200-3 |
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