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The purpose of this study was to identify predictors of survival time in first recurrent breast cancer patients, including psychologic as well as biologic factors. Beginning in 1979, 36 women being treated at the National Institutes of Health for histologically proven recurrent disease were enrolled in this prospective study. At the time of data analysis,(More)
We have treated 76 patients with locally advanced breast cancer, 31 with stage IIIA, 41 with stage IIIB, and 4 with stage IV disease, with primary induction chemotherapy including an attempted hormonal synchronization in 70 patients. All were treated to maximum objective clinical response before proceeding to any local therapy. Patients achieving a complete(More)
Configuration models specify the set of possible configurations (solutions). A configuration model together with a defined set of (customer) requirements are the major elements of a configuration task (problem). In this chapter, we discuss different knowledge representations that can be used for the definition of a configuration model. We provide examples(More)
Foreword Representing and solving configuration problems has always been one of the key application and commercialization areas for AI research, and the need for powerful knowledge-representation formalisms to capture the great variety and complexity of configurable product models was a major driver for innovation in areas such as expert systems in the(More)
In this chapter, we summarize challenges related to the implementation of mass customization. In this context, we discuss benefits that result from a successful deployment and application of configuration technologies. Configuration is a key technology for successfully implementing mass customization (see Piller and Blazek, 2014 1). In this chapter, we take(More)
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