Discovery of Strong Association Rules for Attributes from Data for Program of All-Inclusive Care for the Elderly (PACE)
Shen Lu, Alfred Sears, Joseph Radich, Richard Segall, Thomas Hahn
The Program of All-Inclusive Care for the Elderly (PACE)
(2013)[6] study aimed to find out if the program we designed
for the 11 month treatment can efficiently help people lose
weight, and even can keep tracking of weight loss and body fat
by checking some of the parameters we measured during the 11
months. We worked on the potentially significant parameters
for weight loss in 11 months, such as age, height, weight, body
size and body fat. We used association rule mining and
classification rule mining to discover which parameters are
significant for weight loss and what are the associations
between weight loss and those significant parameters.
Experimental results showed that weight loss with support from
0.2 to 0.9 and confidence from 0.7 to 1.0 is related to body
weight and the changes of chest size, arm size, waist size, thigh
size and hip size. In future, we will discover the associations
among body weight, body size, body fat, heart beat and blood
pressure. Full Text
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