Gaydar: a social-cognitive analysis.

Gaydar is a popular culture term that refers to the ability for one individual to correctly identify the sexual orientation of another. Recent studies have documented a phenomenon that mirrors gaydar. The purpose of this paper is to provide a cognitive analysis of the "gaydar" phenomenon.

A demonstration of the virtual nursing college.

This demonstration will illustrate the operation of a virtual nursing college (VNC) through the Internet. The key concepts to be shown include: Distance and remote learning and teaching; Multi-site collaboration in teaching and clinical research using groupware; Multimedia courseware found in programmable virtual classrooms; Personal knowbots that manage information; Virtual clinics with virtual patients and simulated patients.

Nursing collaboratory development via the Internet.

Old paradigms of research need to change as funding becomes more competitive and less available and as institutions demand more productivity of research scholars while providing decreasing levels of support. Development of a Nursing Collaboratory provides an opportunity for nurse researchers to communicate and collaborate (using the Internet) during phases of the research process. A proposed model of Nursing Collaboratory development is described, and opportunities and issues are discussed.

Machine learning for development of an expert system to predict premature birth.

Normal pregnancy involves a term of 40 weeks gestation. Problems associated with low birthweight and prematurity continue to plague childbearing families and the healthcare system because 8-12% of all newborns in the United States deliver prior to 37 weeks gestation. The high cost of caring for premature babies increasingly treats all pregnant women as if they are 'high risk' for preterm birth.

Machine learning for an expert system to predict preterm birth risk.

Objective: Develop a prototype expert system for preterm birth risk assessment of pregnant women. Normal gestation involves a term of 40 weeks, but because 8-12% of the newborns in the United States are delivered prior to 37 weeks' gestation, problems associated with prematurity continue to plague individuals, families, and the health care system.

Design: A knowledge-base development methodology used machine learning, statistical analysis, and validation techniques to analyze three large datasets (18,890 subjects and 214 variables).