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Titlebook: Leading an Academic Medical Practice; Lee B. Lu,Robert J. Fortuna,Daniel G. Tobin Book 2023Latest edition The Editor(s) (if applicable) an

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楼主: Nonchalant
发表于 2025-3-25 06:02:32 | 显示全部楼层
Syed N. Imam,Anna Rubinsynthetic data generated using a very abstract model of the satisfaction parameters resulting from a given recipe. The recommendation in this context is carried by a couple of Extreme Learning Machine (ELM) regression models trained to predict the satisfaction parameters from the recipe input, and t
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Dianne L. Goede,Sarai Ambert-Pompeybined with a substructure mining algorithm. An algorithm is proposed which has shown to be efficient to extract graph structure from feature vector data. Furthermore, we empirically show that the graph-mining model is competitive with state-of-the-art machine learning approaches in terms of classifi
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synthetic data generated using a very abstract model of the satisfaction parameters resulting from a given recipe. The recommendation in this context is carried by a couple of Extreme Learning Machine (ELM) regression models trained to predict the satisfaction parameters from the recipe input, and t
发表于 2025-3-25 21:15:36 | 显示全部楼层
rstanding for readers. ..Another highlight of the book is use of international case-studies to provide key learnings in areas of project preparation and structuring for such hybrid PPP models. The risk allocati978-981-19-2021-9978-981-19-2019-6Series ISSN 2192-8096 Series E-ISSN 2192-810X
发表于 2025-3-26 03:23:14 | 显示全部楼层
Mohan Nadkarni,Ira Marie Heleniusrstanding for readers. ..Another highlight of the book is use of international case-studies to provide key learnings in areas of project preparation and structuring for such hybrid PPP models. The risk allocati978-981-19-2021-9978-981-19-2019-6Series ISSN 2192-8096 Series E-ISSN 2192-810X
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for today‘s medical practice including social justice, diversity in residency practices, healthcare advocacy, physician burnout, telemedicine, and crisis management (e.g., public health emergencies). ..This res978-3-031-40272-2978-3-031-40273-9
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