Titlebook: Data Mining and Analytics in Healthcare Management; Applications and Too David L. Olson,?zgür M. Araz Book 2023 The Editor(s) (if applicabl

Gossamer

Susanne Wiatr Borg,Louise YoungThe presence of big data is caused by electronic systems applied by governments, hospitals, clinics, and healthcare professionals. Healthcare analytics can lead to cost reduction, more effective treatment, and faster delivery of healthcare.

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強(qiáng)制令

Richard Lee Storch,Matt WilliamsonHealthcare decisions supportable with association rule models include identification of comorbidity patterns in patients, monitoring diseases by geographical area and age group to assess doctor or nurse shortages, and to identify abnormalities detected by real-time sensor data.

Biguanides

BILE

Sarra Dahmani,Xavier Boucher,Sophie PeillonThe topic of this chapter is time series predictive modeling. Methods presented include ARIMA (autoregressive integrated moving average) models, and its components autocorrelated models, OLS regression, and moving average. Analysis is demonstrated using SAS software.

爆炸

intrude

Luis M. Camarinha-Matos,Raimar J. SchererThis chapter presents reviews of published applications of classification models in general hospital system management, disease-specific applications, genome research, and connectivity in the Internet-of-Things era. Ethical challenges involved in healthcare analytic applications are discussed.

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Egon Lüftenegger,Marco Comuzzi,Paul GrefenDecision analysis in healthcare analytics is presented. Decision trees in the context of probability structure is demonstrated.

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VEIL