Page 243 - Big Data Analytics for Intelligent Healthcare Management

236 CHAPTER 9 INTELLIGENCE-BASED HEALTH RECOMMENDATION SYSTEM

Data
Feature Classification Sentiment
selection Knowledge analysis
repository

Training phase

Recommendation
Profile health
record User data
base
Privacy
User profile process preservation

FIG. 9.4
Health recommendation system (HRS).

The sentiment analysis phase of HRS collects people’s opinions for making the right decision in
healthcare. This helps to discover the opinion of end users with respect to a specific theme. The privacy
preservation phase is used to provide privacy to the HRS so that valuable information cannot be chan-
ged. HRS is very helpful for decision-making in healthcare applications, which can give more value to
the society.

9.3.1 DESIGNING THE HEALTH RECOMMENDATION SYSTEM
Many different methodologies are being developed in this newly emerging field. Here we proposed one
methodology that is realistic and practical. In the first step, the software development team develops a
problem statement that involves finding the objectives of the project. The problem statement is super-
seded by the description of the project’s importance. The designing team will do a feasibility study of
the project including technical assessment, cost estimation, and effort estimation. Once the problem
statement is approved, the team can move to the next stage, the project development stage. Here,
the team focuses on details of the projects. Because of the rise in project costs in comparison to tra-
ditional ones, the team must do an economic feasibility study and explain why the project is cost-
effective [26]. The project team should also provide background information on the problem domain
as well as prior projects and research done in this domain. After that, in step 3, the design phase starts
and is implemented. The problem statement is broken down into a series of steps. Simultaneously, the
independent and dependent variables or indicators are identified. The data sources are also identified;
the data is collected, described, and transformed in preparation for data analytics. A very important step
at this point is the selection of proper platform tools including Hadoop and Cloudera. In step 4, the