Microarray data analysis and classification has demonstrated convincingly that it provides an effective methodology for the effective diagnosis of diseases and cancers. Although much research has been performed on applying machine learning techniques for microarray data classification during the past years, it has been shown that conventional machine learning techniques have intrinsic drawbacks...

BACKGROUND Osteoarthritis of the knee is commonly diagnosed and monitored with radiography. However, the reliability of radiographic classification systems for osteoarthritis and the correlation of these classifications with the actual degree of confirmed degeneration of the articular cartilage of the tibiofemoral joint have not been adequately studied. METHODS As the Multicenter ACL (anterio...

OBJECTIVE This paper is concerned with soft computing techniques for categorizing laryngeal disorders based on information extracted from an image of patient's vocal folds, a voice signal, and questionnaire data. METHODS Multiple feature sets are exploited to characterize images and voice signals. To characterize colour, texture, and geometry of biological structures seen in colour images of ...

background in recent times, there has been a growing demand internationally for health policies to be based on reliable research evidence. consequently, there is a need to strengthen institutions and mechanisms that can promote interactions among researchers, policy-makers and other stakeholders who can influence the uptake of research findings. the health policy advisory committee (hpac) is on...

background: local ethical committees in medical sciences in iran were established in 1999 in order to assess and evaluate the observance of ethical standards throughout the universities and research centers. the purpose of this study is to analyze the situation of local ethical committees in order to develop research ethics guideline. methods: for this cross-sectional study which has been condu...