Results 111 to 120 of about 2,873 (156)

Relative fat mass and cardiovascular risk in Chinese adults: a nationwide prospective cohort study. [PDF]

Nutr J
Wang F, Li X, Wang L, Zheng J.
europepmc   +1 more source

Association of obesity and lipid indexes with rapid kidney function decline and the progression to chronic kidney disease: a study from a large longitudinal cohort among middle-aged and older adults in China. [PDF]

Front Med (Lausanne)
Jiang WZ, Zhu MT, Hu JJ, Xu ML, Lu KD.
europepmc   +1 more source

Relative fat mass and cardiovascular risk in Peruvian adults: Findings from a national survey. [PDF]

PLoS One
Chaquila JA, Hernández-Vásquez A, Guerra Valencia J, Miranda-Torvisco F, Ramirez-Jeri G.   +4 more
europepmc   +1 more source

Association Between Relative Fat Mass and the Serum Creatinine/Cystatin C Ratio and Cardiometabolic Multimorbidity: Evidence From Two Large Population-Based Surveys. [PDF]

J Diabetes Res
Hu Y, Li L, Yan L, Zhao X, Wang Q, Xu Z.
europepmc   +1 more source

From LLM to FEM: Low-Rank Adaptation for Noise-Robust Structural Damage Detection. [PDF]

Sensors (Basel)
Kim J, Kang H, Chang S.
europepmc   +1 more source

Association between low-density lipoprotein and structural changes in the knee joint of patients with symptomatic osteoarthritis is mediated by relative fat mass. [PDF]

Eur J Med Res
Li Q, Bo K, Shen C.
europepmc   +1 more source

Cross-cultural de-centring of Recovery College tools: a 20-country Delphi study

Kotera Y, Vilar-Lluch S, Narusson D, Hiltensperger R, Leah P, Orsi J, Andrade M, Miyamoto Y, Bejerholm U, Pomajzlová JP, Řezníková V, Nabasaba M, Jebara T, Lawrence V, Takhi S, Ronaldson A, Kellermann V, Kapka A, Bates P, Henderson C, Slade M.   +20 more
europepmc   +1 more source

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Knowledge discovery on RFM model using Bernoulli sequence

Expert Systems With Applications, 2009
The objective of this paper is to introduce a comprehensive methodology to discover the knowledge for selecting targets for direct marketing from a database. This study expanded RFM model by including two parameters, time since first purchase and churn probability.
I-Cheng Yeh
exaly   +2 more sources

Data-mining application for country segmentation based on the RFM model

International Journal of Data Analysis Techniques and Strategies, 2008
For effective Customer Relationship Management (CRM), it is important to gather information on customer value. Segmentation is the method of knowing the customers and partitioning a population of customers into smaller groups. This paper develops a novel country segmentation methodology based on Recency (R), Frequency (F) and Monetary value (M ...
Somayeh Alizadeh, Mehdi Ghazanfari
exaly   +3 more sources

Classifying the segmentation of customer value via RFM model and RS theory

Expert Systems With Applications, 2009
Data mining is a powerful new technique to help companies mining the patterns and trends in their customers data, then to drive improved customer relationships, and it is one of well-known tools given to customer relationship management (CRM). However, there are some drawbacks for data mining tool, such as neural networks has long training times and ...
Ching-Hsue Cheng
exaly   +3 more sources