Report on Intelligent System Analytics

Running head: REPORT ON INTELLIGENT SYSTEM ANALYTICS
REPORT
ON
INTELLIGENT SYSTEM ANALYTICS
Name of the Student
Name of the University
Author Note:

Intelligent System Analytics1
Introduction:
The primary objective of this report is to critically analyze the selected research paper
which is entitled as INTELLIGENT HEART DISEASE PREDICTION SYSTEM
USING DATA MINING TECHNIQUES. Followed by this aspect it will also evaluate the
entire paper by discussing the objectives of this research paper as well as it will also consists
a detail elaboration related to the research methodology present in the selected research
paper. Impact of the research on population as well as how this research paper has enhanced
the operations of heart disease prediction. Considering the above mentioned discussion it this
paper will also elaborate the key findings and the key issues which has been identified during
the research. Followed by discussing the issues present in the research paper it will also
discuss the accuracy of the results and lastly, it will conclude by stating the effectiveness of
the nominated research article.
Discussion:
After a thorough investigation on the mentioned research paper it has been observed
that this paper has effectively described the application of data mining in the field of health
care industry. Followed by this aspect it has been also noticed that this research paper has
been introduced with the purpose to develop an intelligence system which will holds the
capabilities to enhance the treatment process of heart disease by analysing the patients data as
well as the symptoms.
Followed by the above mentioned approach it has been noticed from the research
paper that several major challenges faced by the healthcare industry has influenced the
development of such intelligent system by which the heart disease can be predicted by
utilizing the data analytics. Considering the aspect of the identified limitations the author has
mentioned that one of the most significant risk factor was the service quality and the
treatment expenses [1]. Followed by this the author has elaborated the aspect of less effective
services by stating that due to the application of conventional treatment equipment the
process of diagnosis of the disease was very less effective as well as the faults made by the
labs and the clinics also holds a significant impact of the quality of the healthcare services
[2]. Along with the above aspect in this research paper it has been also mentioned that there
are several other functional operation which affects the cost of the services as it has been
observed that while dealing with the conventional working procedures it has been noticed
that in most of the healthcare organization or hospitals the human resources are utilized to

Intelligent System Analytics2
analyse the patients data in order to determine the disease which is significantly one of the
most expensive as well as time consuming procedure. Thus, it can be stated the above
discussed aspects and identified limitations has influenced this research in order to develop a
system which will hold the capabilities to effectively analyse the patient’s data with the
purpose to detect the disease and treatment [3].
After a thorough investigation on the problem statement it has been noticed that while
considering the application of the conventional healthcare practices there is a significant lack
present in this scope as most of the hospitals as well as the healthcare organization consists of
basic information system which performs basic operations such as fining the average,
calculating the overall cost of the treatment. Along with these it is also mentioned that there
is most of the hospital has significantly incorporated the digital billing system by which it
speeds up the billing process. Following this aspect it has been noticed that there is a
significant lack present related to the effective utilization of data analytics as this may use to
determine the possible disease of the patients. Hence, in the problem it is mentioned that
there is a huge necessity to enhance the diagnosis process as well as treatment process as it
help to reduce the cost of treatment and diagnosis [4].
Followed by the problem statement present in the research paper it also consists a
detail elaboration about the objectives of this research paper in which it is mentioned that this
search has been conducted in order to develop an intelligent heart disease prediction system
followed by the techniques of neural network, decision tree and by the Navie Bayes
techniques. This system will work by analysing a large set of data related to the heart disease
which will help the system to predict the possible disease and treatment by comparing it with
the inbuilt patterns and data. Considering this aspect it has been also mentioned in the
research paper that the approached system will be able to answer the critical queries related to
the patients [5].
Followed by this discussion this paper also consists a detail elaboration related to the
application a background of data mining in which it has included that the concept of data
mining works by combining the statistical data as well as the large data set from which a
common pattern has been extracted. Furthermore, by comparing the new data with the
extracted pattern it releases the predicted result. Along with this discussion it has includes a
detail elaboration about the used techniques for data mining. Followed by this discussion in
this paper it has been noticed that the decision tree algorithm works with classification and