INTRODUCTION
BIG DATA ANALYSIS
FOR
HEALTHCARE INTRODUCTIONThis project is based on data mining
hospital database.In medical environments, there are many different
types of data available for mining. These data are specific to the
medical area, and therefore have intrinsic semantic information,
relationships with other data, and multiple levels of meaningful
hierarchy. This project provides a platform for analyzing medical
big data so as to perform better as an organization in handling Big
Data.Data Mining is concerned with developing method to explore the
unique types of data in medical settings and using these methods to
better understand patients and the settings in which they are
diagnosed.Purpose The whole purpose of computerizing Our System is
to handle the work much more accurately and efficiently with less
time consumption. Unlike the semi-computerized system there would
be backup data for all the information concerning the performance
and response time for each task, it is very much faster since there
is less paper work to be completed. Computerized hospital data can
be used for better understanding of the patients.Reports generated
can be used for further analysis.
EXISTING SYSTEMThe existing system is Manual based
System.Existing System is Time Consuming, and not Flexible.Thus
there is a great need for a fast, reliable, efficient and easy
automated system which will help in updating and provide the best
way for interaction in short duration of time.
PROPOSED SYSTEM
Provides doctors with accurate patients medical history.Reports
generated can be used for further analysis.Reports generated can
also used for pharmaceutical companies.Provides much better insight
on Low Risk, At Risk and High Risk diseases.
REQUIREMENTS Following are the minimum recommended system
requirement which are needed for the projectSQL 2000 or
higherVisual Studio 2006 or higherWindows XP or higher.NET 2.0
frameworkFollowing are the standard recommended system requirement
which are needed for the projectSQL 2005 or higherVisual Studio
2008 or higherWindows 7 or higher.NET 3.5 framework
PROCEDURESManually entered database entries into excel sheets
from handwritten files.Converted excel sheets into backup
files.Restored backup files in SQL Server 2012.Created frontend GUI
using HTML language. Frontend cover page consist of UserID,
password with Submit, Reset and Close buttons.Created second page
consisting of actual anlaysis generating reports based on the
queries entered using ASP.NETIt consists of GridView which displays
output.The database connectivity is done using SQL server 2012.
When the application opened user can see the login dialog
box.
After successful login user can see the following window
The user can select the database, tables and execute appropriate
queries.
After entries proper values, the GridView button generates
outputs.
CONCLUSION This system is very user friendly and provides great
efficiency in parallel with manpower. This will provide directly or
indirectly benefits to the organization. It is of immense help to
grab the modem pace of automation and this software will provide
easy mean for it.
ADVANTAGES Ease of Use: Application automatically searchs
through all the databaseSafety: Safeguard against hacking and SQL
injectionAdvance: We intend to implement this using SQL 2005 and
Visual Studio 2008
LIMITATIONS User need to have minimum knowledge of SQL.Example
like Tables, queriesAdvanced query is not available in this basic
versionIt requires connection to database for which queries and
reports need to be generated.
FUTURE SCOPEThe future scope of this project is that this system
does not cover the whole part of the manual system. To ensure a
high level of quantity, it becomes necessary to agree on a scope of
work, which is viable for time scheduled. Also a predictive model
can be added to this system in near future that can predict the
diseases of the patients based on the symptoms and many such
complex queries can be solved by using predictive model.
