Welcome to the InfoSci Platform
Reference Hub2
Artificial Intelligence Techniques in Medicine and Health Care

Artificial Intelligence Techniques in Medicine and Health Care

Rezaul Begg
Copyright: © 2005 |Pages: 6
ISBN13: 9781591405535|ISBN10: 159140553X|EISBN13: 9781591407942
DOI: 10.4018/978-1-59140-553-5.ch030
Cite Chapter Cite Chapter

MLA

Begg, Rezaul. "Artificial Intelligence Techniques in Medicine and Health Care." Encyclopedia of Information Science and Technology, First Edition, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2005, pp. 157-162. https://doi.org/10.4018/978-1-59140-553-5.ch030

APA

Begg, R. (2005). Artificial Intelligence Techniques in Medicine and Health Care. In M. Khosrow-Pour, D.B.A. (Ed.), Encyclopedia of Information Science and Technology, First Edition (pp. 157-162). IGI Global. https://doi.org/10.4018/978-1-59140-553-5.ch030

Chicago

Begg, Rezaul. "Artificial Intelligence Techniques in Medicine and Health Care." In Encyclopedia of Information Science and Technology, First Edition, edited by Mehdi Khosrow-Pour, D.B.A., 157-162. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-553-5.ch030

Export Reference

Mendeley
Favorite

Abstract

Now-a-days, researchers are increasingly looking into new and innovative techniques with the help of information technology to overcome the rapid surge in health care costs facing the community. Research undertaken in the past has shown that artificial intelligence (AI) tools and techniques can aid in the diagnosis of disease states and assessment of treatment outcomes. This has been demonstrated in a number of areas, including: help with medical decision support system, classification of heart disease from electrocardiogram (ECG) waveforms, identification of epileptic seizure from electroencephalogram (EEG) signals, ophthalmology to detect glaucoma disease, abnormality in movement pattern (gait) recognition for rehabilitation and potential falls risk minimization, assisting functional electrical stimulation (FES) control in rehabilitation setting of spinal cord injured patients, and clustering of medical images (Begg et al., 2003; Garrett et al., 2003; Masulli et al., 1998; Papadourokis et al., 1998; Silva & Silva, 1998).

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.