A Framework for Personalized Diet and Exercise Guideline Recommendation - Technologies and Applications of Artificial Intelligence - page 278

Exercise Information Edit . The function design of exercise information edit is same
as diet information edit. It is worth mentioning that exercise information considers the
MET values for calculating calorie and applying to lose weight.
Disease Guideline Edit . This function provides medical experts or health care pro-
viders to update disease data online. The disease data is a connection that how the
disease is related to physical examination items. In the website, they can choose the
physical examination item to edit.

3.3 Supervising and Reminding Module

This module is designed for supervising and reminding users, and the module has
following major functions: supervising function, reminding function, data visualiza-
tion, and guideline query. In order to automatically supervising and reminding users
to meet their personal recommended diet and exercise guidelines, an active database
is utilized for achieving the purpose. An active database considers an event-driven
architecture which can respond to conditions both inside and outside the database.
Supervising Function . This function aims to supervise users to fill out the daily diet
and exercise suggestions on time, and the function designs different basic supervising
time by general users' life style. In addition, users can adjust and set the supervising
time according to their special life style. The function supervises users until the re-
minding time, and the reminding function is triggered.
Reminding Function . Once users forget to fill out the daily diet and exercise sug-
gestions for a while time, the reminding function is triggered to automatically remind
users to fill out the daily diet and exercise suggestions. In addition, the system also
sends the weekly-report to user.
Data Visualization . Data visualization employs line graphs to visualize the data in
order to make the data more readable, user then can intuitively interpret the line
graphs. Users record the daily diet and exercise suggestions, and the daily records
then are saved to the database and are shown through data visualization function. The
function provides line graphs and record lists so that users can easily check their
records of diet and exercise guidelines been done. With regard to the line graphs, it
can present records of diet and exercise guideline of users by dates. With the record
lists, users can choose the date to show what they have done in that day.
Guidelines Query . Guideline Query provides users to search their guideline history.
The function of guidelines query provides users with an offline database of guide-
lines, so that they can find this information accessibly. In order to meet the users'
requirements, the query results show not only the corresponded guidelines but the
suggested food and sports related to guidelines.

3.4 Guideline Generator

This subsection introduces diet and exercise guideline recommendation ( DEG ), with a
related flowchart shown in Figure 3. In the knowledge collection phase, the impact of
diet and exercise guidelines to different physical examination items can be collected
and built by medical experts or health care providers into a database. After this, the