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Five Article
Data Mining
Submitted to:
Mam Afshan Qamar
Submitted by:
Rizwan Ali
Semester:
6
th
Roll no#
386
Section:
I
Department:
Computer Sciences
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Article # 1:
SMART HEALTH CARE USING DATA MINING
Data mining is a new powerful technology which is of high interest in computer world. It is a sub
field of computer science that uses already existing data in different databases to transform it into
new researches and results. This can be a matter of risk for the person who needs immediate
remedies regarding their poor health. The main purpose of data mining application in healthcare
system is to develop an automated tool for identifying and disseminating relevant healthcare
information.
In this system, we have presented a web based application for Predicting diseases based on user
input symptoms. It predicts probable diseases by mining data sets and provides remedial
solutions for Effective Treatment.
The proposed system we suggested will predict the disease based on the symptoms and severity
rating entered by the user and by considering user’s previous medical history to predict the
possible disease and provide them with homemade remedies to give some instant relief to the user.
Article # 2:
Smart E-Health Prediction System Using Data Mining
In Smart E-Health Prediction System Using Data Mining present the techniques and applications
of data mining in medicinal and instructive parts of Clinical Predictions. In medicinal and health
care fields, a huge quantity of information is turning into accessible due to availability of
computers. Such an oversized amount of information can't be processed to make health
predictions in the early stage and make treatment schedules to diagnose. Our aim is to assess the
techniques of data processing in the fields of clinical and health care to develop correct choices.
It also offers a close exchange of medicinal information handling strategies which may improve
various parts of Clinical Predictions. It is a latest powerful technology that is of high interest in
the computer world. It uses already existing information in several databases to rework it into
new researches and results. From huge data sets, to extract new patterns and the knowledge
related to these patterns data mining uses machine learning and database management.
Particularly the task is to get data by the means of automatic or semi-automatic. The various
parameters enclosed in data processing include clustering, forecasting, path analysis and
predictive analysis.
Analysis of Data mining prediction technique in healthcare management system is the paper in
which they have discussed the importance of data mining techniques in medical field as well
as the need of automated medical diagnosis system. They have also done comparison of data
mining techniques like decision tree, Bayesian classifier, and neural network, support vector
machine on specific disease like heart disease, diabetics, eyes disease and cancer
Article # 3:
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In medical and health care areas, due to regulations and due to the availability of computers, a
large amount of data is becoming available. Such a large amount of data cannot be processed by
humans in a short time to make diagnosis, and treatment schedules. A major objective is to
evaluate datamining techniques in clinical and health care applications to develop accurate
decisions. It also gives a detailed discussion of medical data mining techniques which can
improve various aspects of Clinical Predictions. It is a sub field of computer science that uses
already existing data in different databases to transform it into new researches and results. It
makes use of machine learning and database management to extract new patterns from large
datasets and the knowledge associated with these patterns. The actual task is to extract data by
automatic orsemi- automatic means.
Article # 4:
In medical and health care areas, due to regulations and due to the availability of computers, a
large amount of data is becoming available. Such a large amount of data cannot be processed by
humans in a short time to make diagnosis, and treatment schedules. A major objective is to
evaluate data mining techniques in clinical and health care applications to develop accurate
decisions. It also gives a detailed discussion of medical data mining techniques which can
improve various aspects of Clinical Predictions. It is a new powerful technology which is of high
interest in computer world. It is a sub field of computer science that uses already existing data in
different databases to transform it into new researches and results.
Article # 5:
These data mining techniques can be used in various fields of Research and Education also. The
Smart Health Prediction System Is the Fastest emerging area in the field of medical science. Data
mining is one of the fields of computer science that uses the existing data in medical field to
predict the occurrence of diseases. By the use of machine learning and database management
tools we can extract new patterns from group of large datasets and gain knowledge.
The present paper has provided an enlightened overview of machine learning and its various
optimization techniques in disease datasets to avoid any kind of epidemic. The study will help
in directing future work on sustainability. Ultimately, sustainability to healthcare will be
achieved exclusively when our datasets can efficiently visualize and analyze with no flaws.
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