Featured Research

from universities, journals, and other organizations

Fuzzy thinking could spot heart disease risk

Date:
September 16, 2010
Source:
Inderscience Publishers
Summary:
A new approach to evaluating a person's risk of cardiovascular disease, stroke, high blood pressure, or heart failure has been developed. The technique uses fuzzy logic to teach a neural network computer program to analyze patient data and spot correlations that can be translated into a risk factor for an individual.

A new approach to evaluating a person's risk of cardiovascular disease, stroke, high blood pressure, or heart failure is reported this month in the International Journal of Data Mining, Modelling and Management. The technique uses fuzzy logic to teach a neural network computer program to analyze patient data and spot correlations that can be translated into a risk factor for an individual.

Related Articles


Khanna Nehemiah of the Anna University Chennai, India, and colleagues have developed a medical diagnostic system for predicting the severity of cardiovascular disease based on combining the fuzzy logic, neural networks and genetic algorithms. The resulting statistical model improves on previous attempts and is accurate 9 times in 10 in determining patient risk.

Cardiovascular disease (CVD) refers to disorders of the heart or blood vessels and includes coronary heart disease, cerebrovascular disease, raised blood pressure, peripheral artery disease, rheumatic heart disease, congenital heart disease and heart failure. The World Health Organization in 2009 estimated that almost 20 million deaths occur annually from cardiovascular disease and that by 2030 that figure could rise to almost 24 million.

"In order to reduce the rate of morbidity and mortality due to CVD, it is essential to diagnose early and administer appropriate treatment," explains Nehemiah, who points out how clinical diagnosis has always been supported by data analysis combined with medical expertise.

He and his colleagues hope that their new approach to analyzing patient risk will help reduce the time taken by medical experts to make a diagnosis. "A clinical-decision support system should consider issues like representation of medical knowledge, decision making in the presence of uncertainty and imprecision, choice and adaptation of a suitable model," they explain, all points that their new model addresses.

The team concludes that their fuzzy neural network approach could be improved still further by tweaking the architecture of the network and by extracting generic rules from the system that could be used to obtain a more precise risk factor.


Story Source:

The above story is based on materials provided by Inderscience Publishers. Note: Materials may be edited for content and length.


Journal Reference:

  1. Khanna Nehemiah et al. Fuzzy neuro genetic approach for predicting the risk of cardiovascular diseases. Int. J. Data Mining, Modelling and Management, 2010, 2, 388-402

Cite This Page:

Inderscience Publishers. "Fuzzy thinking could spot heart disease risk." ScienceDaily. ScienceDaily, 16 September 2010. <www.sciencedaily.com/releases/2010/09/100915094342.htm>.
Inderscience Publishers. (2010, September 16). Fuzzy thinking could spot heart disease risk. ScienceDaily. Retrieved November 27, 2014 from www.sciencedaily.com/releases/2010/09/100915094342.htm
Inderscience Publishers. "Fuzzy thinking could spot heart disease risk." ScienceDaily. www.sciencedaily.com/releases/2010/09/100915094342.htm (accessed November 27, 2014).

Share This


More From ScienceDaily



More Health & Medicine News

Thursday, November 27, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Ebola Leaves Orphans Alone in Sierra Leone

Ebola Leaves Orphans Alone in Sierra Leone

AFP (Nov. 27, 2014) — The Ebola epidemic sweeping Sierra Leone is having a profound effect on the country's children, many of whom have been left without any family members to support them. Duration: 01:02 Video provided by AFP
Powered by NewsLook.com
Experimental Ebola Vaccine Shows Promise In Human Trial

Experimental Ebola Vaccine Shows Promise In Human Trial

Newsy (Nov. 27, 2014) — A recent test of a prototype Ebola vaccine generated an immune response to the disease in subjects. Video provided by Newsy
Powered by NewsLook.com
Pet Dogs to Be Used in Anti-Ageing Trial

Pet Dogs to Be Used in Anti-Ageing Trial

Reuters - Innovations Video Online (Nov. 26, 2014) — Researchers in the United States are preparing to discover whether a drug commonly used in human organ transplants can extend the lifespan and health quality of pet dogs. Video provided by Reuters
Powered by NewsLook.com
Today's Prostheses Are More Capable Than Ever

Today's Prostheses Are More Capable Than Ever

Newsy (Nov. 26, 2014) — Advances in prosthetics are making replacement body parts stronger and more lifelike than they’ve ever been. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
 
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:  

Breaking News:

Strange & Offbeat Stories

 

Health & Medicine

Mind & Brain

Living & Well

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:  

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile iPhone Android Web
Follow Facebook Twitter Google+
Subscribe RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins