Association between relative fat mass and colorectal cancer: a cross-sectional study
Frontiers in NutritionAimsWe aimed to investigate the potential association between relative fat mass (RFM) and colorectal cancer (CRC).Design and methodsData from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2020 were analyzed.
Yaping Wang +3 more
doaj +1 more source
Klasterisasi Produk Penjualan Menggunakan Model Perhitungan RFM dan Algoritma K-Means Pada Primskystore [PDF]
, 2023 Maximum data processing will produce quality information which can then be used in decision making for business owners. A proper business strategy, especially promotion, is important for shop owners so that the business can continue to grow. Primskystore
Wardhani, Rahayu Kusumaningtyas Paramita
core
PENENTUAN SEGMENTASI PELANGGAN E-COMMERCE MENGGUNAKAN FUZZY C-MEANS DAN MODEL FUZZY RFM
, 2021 Persaingan bisnis di Indonesia dalam beberapa tahun terakhir mengalami persaingan yang ketat. E-commerce merupakan salah satu bisnis besar yang ada di Indonesia.
Sulaiman, Raden, Hermawati, Vista
core +2 more sources
Customer Segmentation According to Customer Life Time Value Using Data Mining Based on RFM Model [PDF]
پژوهشهای مدیریت عمومی, 2012 Nowadays, interaction between companies and customers is significantly changed by customer relationship management (CRM). Identifying customers' traits and optimum resource allocation to them, based on their value for companies, have been one of the main
doaj +1 more source
Frontiers in EndocrinologyBackgroundA major problem that affects women of reproductive age globally is sterility. A new statistic called Relative Fat Mass (RFM) provides an accurate representation of the percentage of total body fat in people.
Mengmeng Sun +6 more
doaj +1 more source
Improving the direct marketing practices of FMCG retailers through better customer selection. An empirical study comparing the effectiveness of RFM (Recency, Freuency and Monetary) CHAID (Chi-squared Automatic Interaction Detection), stepwise logit (logistic regression) and ANN (Artificial Neural Networks) techniques using different data variable depths [PDF]
, 2014 The intent of this thesis is to understand Data Mining technique effectiveness in both shallow (RFM variable only) and expanded data environments.
Di Tullio, Ian
core
A New Perspective on RFM Analysis
, 2018 The aim of this chapter is proposing a novel integrated Fuzzy Group Multiple Attribute Decision Making (FGMADM) and Fuzzy C-Means Clustering (FCM) as a DM tool for segmentation of customers (retailers), based on an updated RFM model.
Mohammad Hasan Aghdaie +1 more
core +1 more source
ANALISIS SEGMENTASI PELANGGAN MENGGUNAKAN FUZZY C-MEANS BERDASARKAN MODEL RECENCY FREQUENCY MONETARY (RFM) PADA MOEL MART [PDF]
, 2022 Moel Mart merupakan sebuah bisnis retail yang bergerak pada bidang perdangngan. Dalam melakukan segmentasi pelanggan, Moel Mart hanya berfokus pada segi monetary, yaitu pelanggan yang melakukan transaksi dengan total belanja yang besar.
fhadilatul juniati, -
core
Prediction of FM% from BMI and RFM using 4C model as a body composition method.
, 2019 Abbreviations: BMI, body mass index; RFM, relative fat mass; RMSE, root mean squared error; 4C model, 4-compartment model.
Lucía G. Urquijo-Ruiz (8207238) +5 more
core +1 more source
Scientific ReportsFemale infertility is a prevalent condition closely linked with obesity. Current evaluation metrics like body mass index (BMI) and waist circumference (WC) have limitations.
Yiming Chen +4 more
doaj +1 more source