Featured Research

from universities, journals, and other organizations

Information technology could improve prevention, treatment of depression

Date:
December 6, 2010
Source:
Inderscience Publishers
Summary:
Could information technology and data mining techniques be used to improve the diagnosis and treatment of depression? That's the question scientists hope to have answered.

Could information technology and data mining techniques be used to improve the diagnosis and treatment of depression? That's the question scientists in Australia hope to have answered in a forthcoming issue of the International Journal of Functional Informatics and Personalised Medicine.

Maja Hadzic, Fedja Hadzic and Tharam Dillon of the Digital Ecosystems and Business Intelligence Institute, at Curtin University of Technology, in Perth, explain how depression is rapidly emerging as one of the major health problems now facing society. They add that the World Health Organization has predicted that depression will be the world's leading cause of disability by 2020. "We are noticing a spread of a depression epidemic throughout the whole world," the team says. "Usually, an epidemic, such as a swine flu epidemic, has a pathogen associated with it. But, there is no pathogen involved with the depression epidemic." Indeed, the precise causes of depression have not yet been identified although it is clear that many different biological, psychological and social factors are at play in its development.

Moreover, depression often precedes and may cause, directly or indirectly, many chronic conditions such as high blood pressure and diabetes. Using information technology could bring to bear the power of computing in early diagnosis and the development of treatments.

The team has developed a system that integrates three different kinds of patient data as well as the data describing mental health of therapists and their interaction with the patients. This system can be data-mined using standard techniques as well as modern tree-mining techniques so that patterns can be seen in the onset, treatment and management of depression. "The data describing patients' activities, bodily functions and feelings as well as the data describing mental health of therapists will be collected and collectively mined to reveal interesting patterns," the team explains.

The patterns that emerge from data mining this information will not only improve our understanding of this disease, but could give practitioners new insights into prevention and treatment. Their approach balances the fact that no two cases of depression are the same as all patients are individuals and all are different whereas healthcare practitioners do observe similarities in behavior and response to treatment between different patients.

"Patients will be able to receive highly personalized treatments, the therapists will be assisted in making evidence-based decisions, and the scientist will be able to pursue new knowledge revealing true causes of depression whilst developing more effective treatment approaches," the team concludes.


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. Maja Hadzic, Fedja Hadzic and Tharam Dillon et al. Mining of patient data: towards better treatment strategies for depression. International Journal of Functional Informatics and Personalised Medicine, 2010, 3, 122-143

Cite This Page:

Inderscience Publishers. "Information technology could improve prevention, treatment of depression." ScienceDaily. ScienceDaily, 6 December 2010. <www.sciencedaily.com/releases/2010/12/101203091457.htm>.
Inderscience Publishers. (2010, December 6). Information technology could improve prevention, treatment of depression. ScienceDaily. Retrieved July 23, 2014 from www.sciencedaily.com/releases/2010/12/101203091457.htm
Inderscience Publishers. "Information technology could improve prevention, treatment of depression." ScienceDaily. www.sciencedaily.com/releases/2010/12/101203091457.htm (accessed July 23, 2014).

Share This




More Mind & Brain News

Wednesday, July 23, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Why Do People Believe We Only Use 10 Percent Of Our Brains?

Why Do People Believe We Only Use 10 Percent Of Our Brains?

Newsy (July 22, 2014) The new sci-fi thriller "Lucy" is making people question whether we really use all our brainpower. But, as scientists have insisted for years, we do. Video provided by Newsy
Powered by NewsLook.com
Do Obese Women Have 'Food Learning Impairment'?

Do Obese Women Have 'Food Learning Impairment'?

Newsy (July 18, 2014) Yale researchers tested 135 men and women, and it was only obese women who were deemed to have "impaired associative learning." Video provided by Newsy
Powered by NewsLook.com
Does Mixing Alcohol and Energy Drinks Boost Urge To Drink?

Does Mixing Alcohol and Energy Drinks Boost Urge To Drink?

Newsy (July 18, 2014) A new study suggests that mixing alcohol with energy drinks makes you want to keep the party going. Video provided by Newsy
Powered by NewsLook.com
Pot Cooking Class Teaches Responsible Eating

Pot Cooking Class Teaches Responsible Eating

AP (July 18, 2014) Following the nationwide trend of eased restrictions on marijuana use, pot edibles are growing in popularity. One Boston-area cooking class is teaching people how to eat pot responsibly. (July 18) Video provided by AP
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:
from the past week

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