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DESIGN AND IMPLEMENTATION OF DATA MINING FOR MEDICAL RECORD SYSTEM. (A CASE STUDY OF OWERRI GENERAL HOSPITAL) A RESEARCH PROJECT BY ADEGEYE IDOWU NIFEMI CST/2009/338 SUBMITTED TO THE FACULTY OF NATURAL.

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It is the process of discovering hidden patterns, trends and relationships in a large amount of data. The main goal behind this process is to find information that has not been found through conventional methods, which can help organizations or enterprises make better decisions.

Data mining involves exploring and analyzing large blocks of information to glean meaningful patterns and trends. It is used in credit risk management, fraud detection, and spam filtering. It also is a market research tool that helps reveal the sentiment or opinions of a given group of people.

Data mining is basically the analysis of large data sets, looking for patterns and trends that can be extrapolated into insight. An example is scrutinizing thousands of MRI images to find commonalities that may influence how diagnoses are made or treatments are constructed.

Data mining is the result of using implemented algorithms in software to cover the needs of medical science in each section with the construction of analytical models, categorizing, information prognosis (prediction), and presentation.

However, its translational application is still limited. One challenge is that the proposed clinical requirements and data mining are not synchronized. Additionally, the exotic predictions of data mining are difficult to apply directly in local medical institutions.

Poor data quality leads to increased bottlenecks, decreased efficiency, and patient mistreatment. That is where a well-maintained data quality management system steps in and saves the day.

Clinical data mining in healthcare databases helps medical scientists and experts reveal data patterns, trends, associations, and other fact correlations enabling them to formulate… Best algorithms and recommendations for a wide range of healthcare situations.

A fraud detection system can also become an integral part of a custom health insurance application. With data mining in healthcare, it's easier to detect harmful drug interactions and health claim fraud.

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Form Packages
Adoption
Bankruptcy
Contractors
Divorce
Home Sales
Employment
Identity Theft
Incorporation
Landlord Tenant
Living Trust
Name Change
Personal Planning
Small Business
Wills & Estates
Packages A-Z
Form Categories
Affidavits
Bankruptcy
Bill of Sale
Corporate - LLC
Divorce
Employment
Identity Theft
Internet Technology
Landlord Tenant
Living Wills
Name Change
Power of Attorney
Real Estate
Small Estates
Wills
All Forms
Forms A-Z
Form Library
Customer Service
Terms of Service
DMCA Policy
About Us
Blog
Affiliates
Contact Us
Privacy Notice
Delete My Account
Site Map
All Forms
Search all Forms
Industries
Forms in Spanish
Localized Forms
Legal Guides
Real Estate Handbook
All Guides
Prepared for You
Notarize
Incorporation services
Our Customers
For Consumers
For Small Business
For Attorneys
Our Sites
US Legal Forms
USLegal
FormsPass
pdfFiller
signNow
airSlate workflows
DocHub
Instapage
Social Media
Call us now toll free:
1-877-389-0141
As seen in:
  • USA Today logo picture
  • CBC News logo picture
  • LA Times logo picture
  • The Washington Post logo picture
  • AP logo picture
  • Forbes logo picture
© Copyright 1997-2025
airSlate Legal Forms, Inc.
3720 Flowood Dr, Flowood, Mississippi 39232