Coronary artery calcium score and risk classification for coronary heart disease prediction in python
Coronary artery calcium score and risk classification for coronary
heart disease prediction
PROJECT ID: PYTHON05
PROJECT
NAME: Coronary
artery calcium score and risk classification for coronary heart disease
prediction
PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING
PROJECT ABSTRACT:
The coronary artery calcium score (CACS) has been shown in large prospective studies to be associated with the risk of future cardiovascular events.1-4 Recent data from the Multi-Ethnic Study of Atherosclerosis (MESA), a population-based cohort of individuals without known cardiovascular disease, found that a CACS > 300 was associated with a hazard ratio for future coronary heart disease (CHD) events of nearly 10.4 In addition, including CACS in a prediction model based on traditional risk factors significantly improved the prediction of future CHD events.
While these findings clearly demonstrated strong statistical association of CACS with cardiovascular risk, assessing the clinical value of new markers in risk prediction requires assessment of several additional measures.5 Further investigation should evaluate how closely the predicted probabilities of risk using the new marker reflect observed risk. In addition, Pencina et al recently introduced the concept of “net reclassification improvement” (NRI) which measures the extent to which people with and without events are appropriately reclassified into clinically accepted higher or lower risk categories with the addition of a new marker.6 The NRI therefore provides a method of quantifying the enhancement in clinically useful risk estimation when a novel marker is added to a standard risk prediction model. This new approach is rapidly being accepted as an important method for evaluating the clinical utility of new risk markers
Study participants
The study design for MESA has been published elsewhere.9 In brief, MESA is a prospective cohort study of 6,814 people between the ages of 45 and 84 without known cardiovascular disease. Participants were recruited from July 2000 through September 2002, and identified themselves as white (38%), black (28%), Hispanic (22%), or Chinese (12%) at the time of enrollment. The study was approved by the institutional review boards of each site, and all participants gave written informed consent.
Measurement of CACS
Carr et al. have reported the details of the MESA CT scanning and interpretation methods.10 Scanning centers assessed coronary calcium by chest CT with either a cardiac-gated electron-beam CT scanner (Chicago, Los Angeles, and New York Field Centers) or a multidetector CT system (Baltimore, Forsyth County, and St. Paul Field Centers). Certified technologists scanned all participants twice over phantoms of known physical calcium concentration. A radiologist or cardiologist read all CT scans at a central reading center (Los Angeles Biomedical Research Institute at Harbor–UCLA in Torrance, California). We used the average Agatston score for the 2 scans in all analyses.11 Intraobserver and interobserver agreements were excellent (kappa statistics, 0.93 and 0.90, respectively). The participants were told either that they had no coronary calcification or that the amount was less than average, average, or greater than average and that they should discuss the results with their physicians.
SOFTWARE REQUIREMENTS:
OS : Windows
Python IDE : Python 2.7.x and above
Language : Python Programming
Database : MYSQL
HARDWARE REQUIREMENTS:
RAM : 4GB and Higher
Processor : Intel i3 and above
Hard Disk : 500GB Minimum
CONCLUSION
The results of this study demonstrate that when CACS is added to traditional risk factors it results in a significant improvement in the classification of risk for the prediction of CHD events in an asymptomatic population-based sample of men and women drawn from four U.S. ethnic groups. Our results highlight improvements in risk classification when utilizing CACS. Incorporation of an individual’s CACS leads to a more refined estimation of future risk for CHD events than traditional risk factors alone. The intermediate risk group achieved a substantially higher NRI than the overall cohort, and therefore appear to benefit the most from a CACS-adjusted strategy. This study provides strong evidence that there may be a significant amount of clinically useful reclassification when CACS is added to risk assessment in asymptomatic intermediate risk patients.
TABLE OF CONTENTS
·
Title
Page
·
Declaration
·
Certification
Page
·
Dedication
·
Acknowledgements
·
Table of
Contents
·
List of
Tables
·
Abstract
CHAPTER SCHEME
CHAPTER ONE: INTRODUCTION
CHAPTER TWO: OBJECTIVES
CHAPTER THREE: PRELIMINARY
SYSTEM ANALYSIS
·
Preliminary
Investigation
·
Present System in Use
·
Flaws In Present System
·
Need Of New System
·
Feasibility Study
·
Project Category
CHAPTER FOUR: SOFTWARE
ENGINEERING AND PARADIGM APPLIED
·
Modules
·
System / Module Chart
CHAPTER FIVE: SOFTWARE AND
HARDWARE REQUIREMENT
CHAPTER SIX: DETAIL SYSTEM
ANALYSIS
·
Data Flow Diagram
·
Number of modules and
Process Logic
·
Data Structures and Tables
·
Entity- Relationship
Diagram
·
System Design
·
Form Design
·
Source Code
·
Input Screen and Output
Screen
CHAPTER SEVEN:
TESTING
AND VALIDATION CHECK
CHAPTER EIGHT:
SYSTEM SECURITY MEASURES
CHAPTER NINE:
IMPLEMENTATION, EVALUATION &
MAINTENANCE
CHAPTER TEN:
FUTURE SCOPE OF THE PROJECT
CHAPTER ELEVEN:
SUGGESTION AND CONCLUSION
CHAPTER TWELE: BIBLIOGRAPHY& REFERENCES
Other
Information
PROJECT
SOFWARE |
ZIP |
PROJECT REPORT PAGE |
60
-80 Pages |
CAN BE USED IN |
Marketing
(MBA) |
PROJECT COST |
1500/-
Only |
PDF SYNOPSIS COST |
250/-
Only |
PPT PROJECT COST |
300/-
Only |
PROJECT WITH SPIRAL BINDING |
1750/-
Only |
PROJECT WITH HARD BINDING |
1850/-
Only |
TOTAL
COST (SYNOPSIS, SOFTCOPY, HARDBOOK, and SOFTWARE, PPT) |
2500/-
Only |
DELIVERY TIME |
1
OR 2 Days (In
case Urgent Call: 8830288685) |
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