In a highly competitive medical industry, hospitals can continue to create values and advantages using data mining technologies identify patients’ needs provide the services needed by various patients. This research focuses on outpatients in center Taiwan adopts recency, frequency, monetary (RFM) model, self-organizing maps, K-means method construct set of exploration procedures so that hospita...

Purpose: This research aims to do customer segmentation in retail companies by implementing the Recency Frequency Monetary (RFM) K-Means cluster model and algorithm optimized Elbow method.Methods: study uses several methods. The RFM method was chosen segment customers because it is one of optimal methods for segmenting customers. easy interpret, implement, fast convergence, adapt, but lacks sen...

Using the RFM (Recency, Frequency, Monetary value) model can provide valuable insights about customer clusters which is core of relationship management. Due to accurate segment coming from dynamic weighted applications, in-depth targeted marketing may also use type weight R, F and M as factors. In this paper, we present our approach intended improve performance segmentation by using factors var...

Though widely used, body mass index (BMI) is a heterogeneously performing marker of diabetes risk. Waist circumference-based measures more accurately capture central adiposity and thus can improve the assessment risk beyond BMI, but there limited evidence to guide their use in tailored screening guidelines many low- middle-income countries (LMICs). In this study, we sought assess relationships ...

A Doyle–Fuller–Newman (DFN) model for the charge and discharge of nano-structured lithium iron phosphate (LFP) cathodes is formulated on basis that transport within nanoscale LFP electrode particles much faster than cell discharge, therefore not rate limiting. We present some numerical solutions to show relevant parameter values, a variety C-rates, it possible sharp fronts form intrude into fro...

According to the idea of realizing the 3D reconstruction using different images obtained from different sensors, this paper focuses on the different-source high resolution remotely sensed imagery covering the same regions, constructs the generalized stereopairs, and investigates the space intersection mathematics models based on RFM. Then quickly extracts the ground 3D information, and realizes...

Understanding customer behaviour is crucial for business success. For achieving this goal, the Recency–Frequency–Monetary (RFM) model has been commonly recognised as an effective approach to analyse behaviour. However, traditional RFM a coarse method quantifying loyalty and contribution that can only provide single lump-sum value of recency (R), frequency (F), monetary (M); hence, it discards i...