Fusion of Higher Order Spectra and Texture Extraction Methods for Automated Stroke Severity Classification with MRI Images.

This paper presents a scientific foundation for automated stroke severity classification. We have constructed and assessed a system which extracts diagnostically relevant information from Magnetic Resonance Imaging (MRI) images. The design was based on 267 images that show the brain from individual subjects after stroke.

Drug-related problems associated with community-dwelling older persons living alone in Singapore.

Background Older persons living alone have been associated with poorer health outcomes and higher mortality rate. However, little is known about the drug related problems (DRPs) faced by this population group in Singapore. Objectives This study aims to elucidate the prevalence and type of DRPs associated with older persons living alone.

Impact of pharmacists' counseling on caregiver's knowledge in the management of pediatric atopic dermatitis.

Background: Atopic dermatitis (AD) is a common skin condition in childhood. AD management can be complex, and caregivers may have inadequate information on the disease, aggravating factors, and management. Comprehensive therapeutic education has been closely associated with increased compliance and is recommended for all patients.

GyneScan: an improved online paradigm for screening of ovarian cancer via tissue characterization.

Ovarian cancer is the fifth highest cause of cancer in women and the leading cause of death from gynecological cancers. Accurate diagnosis of ovarian cancer from acquired images is dependent on the expertise and experience of ultrasonographers or physicians, and is therefore, associated with inter observer variabilities. Computer Aided Diagnostic (CAD) techniques use a number of different data mining techniques to automatically predict the presence or absence of cancer, and therefore, are more reliable and accurate.