A Framework for Personalized Diet and Exercise Guideline Recommendation - Technologies and Applications of Artificial Intelligence - page 274

management systems provided from medical institutions have been developed for
recording the daily self-measurement by users, users still have to take the record to
medical institutions and ask for self-care guidelines from health care providers [2, 9,
10, 11].
In this paper, we propose a novel framework of virtual assistant system for person-
al health management, which can analyze the report of regular comprehensive physi-
cal examination to calculate the health risk and provide personalized health care
services for users in terms of diet and exercise guideline recommendation. In addition,
this paper also designs a module for supervising and reminding users to meet the rec-
ommended plans of personalized diet and exercise guidelines. However, achieving
these aims was not an easy task, due to following reasons: First, the design of system
involves the integration of clinic experience and knowledge, computer and informa-
tion technology, as well as human-machine interface. Second, the vital signs and phy-
siological changes of interest vary among users, and so the recommending diet and
exercise guideline module of the system need to be personalized for different users.
To address these issues, a novel framework is proposed for constructing a Virtual
Assistant System for Personal health management , called VASP . The major contribu-
tions of this work are as follows:
I.

This study is the first to target the topic of automatic recommendation of per-
sonalized diet and exercise guidelines according to the analysis of the indi-
vidual report of regular comprehensive physical examination.

II. The idea of an active database which automatically executes specified ac-

tions when specified conditions arise is employed to set the individual plans
from users to supervise and remind them for meeting the recommended diet
and exercise guidelines.

The remainders of this paper are organized as follows. We describe related works
in Section 2. Then, the proposed framework is introduced in details in Section 3. Con-
clusions and future works are given in Section 4.

2 Related Works

Recently, many medical institutions can provide various services and resources for
personal health management on the Internet [1, 2, 5, 6, 9, 10, 11]. In this aging socie-
ty, the remote monitor system is needed for the elderly home care, and the system can
help medical experts efficiently maintain their patients or avoid the elderlies on the
danger. A part of existing remote monitor systems already supports various wearable
devices to collect the vital signs from the users. The vital signs can be uploaded to
the database of the remote monitor system provided by medical institutions. The ex-
perts then analyze the vital signs to determine the health state of their patients on real
time.
Although the remote monitor system can automatically send alarms when the vital
signs are abnormal, those systems do not assess the health risk and give users some
guidelines for the risk [6, 7, 8, 12, 13]. The personal health management system is a
platform for the users to request the assessment of health risk from the data of users'