Titlebook: Clinical Decision Support Systems; Theory and Practice Eta S. Berner Book 2016Latest edition Springer International Publishing Switzerland

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Issues in Modeling Open-Ended Evolutionincluding decision trees, neural networks, logistic regression, nearest neighbor classifiers. In addition, genetic algorithms, biologic and quantum computing, and big data analytics as well as methods of evaluating and comparing the different approaches are also discussed.

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Romanian Children in Multiple Worlds,hile lagging behind many industries, the healthcare industry has been moving towards a service-oriented architecture, including in the space of clinical decision support. In this chapter, we describe notable efforts in service-oriented clinical decision support and speculate on its potential evolution in the future.

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Mobility Analysis of the 3-PSP Mechanismions of CDSS. CDSS examined include both inpatient and outpatient systems, medication related, laboratory and radiology decision support as well as documentation-related CDSS, clinical reminders, and patient-centric applications. Also included are descriptions of studies on the impact on the user and cost-effectiveness of CDSS.

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,Clinical Decision Support: The Experience at Brigham and Women’s Hospital/Partners HealthCare,ions of CDSS. CDSS examined include both inpatient and outpatient systems, medication related, laboratory and radiology decision support as well as documentation-related CDSS, clinical reminders, and patient-centric applications. Also included are descriptions of studies on the impact on the user and cost-effectiveness of CDSS.

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