This page shows all publications that appeared in the IASI annual research reports. Authors currently affiliated with the Institute are always listed with the full name.

You can browse through them using either the links of the following line or those associated with author names.

Show all publications of the year  2001, with author Truemper K., in the category IASI Research Reports (or show them all):

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IASI Research Report n. 559    

Di Giacomo P., Giovanni Felici, Maceratini R., Truemper K.

Diagnosis of hepatocellular carcinoma via logic-based new supervised learning method

ABSTRACT

The hepatocellular carcinoma is one of the most widely spread malignant tumors in the world. The ability to detect the tumor in its early stages in a minimally invasive way is crucial to the treatment of patients with this disease. In recent years several methods and techniques from the fields of artificial intelligence, decision theory and statistics have been introduced in the medical management of patients (diagnosis, treatment, follow-up); computational prognostic models are increasingly used in medicine to predict the natural course of disease, or the expected outcome after treatment. Prognosis forms an integral part of systems for treatment selection and treatment planning. Furthermore, diagnostic and prognostic models may play an important role in guiding diagnostic problem solving. In this paper we describe the application of a new learning tool for the diagnosis of hepatocellular carcinoma. The method adopted operates in the logic domain and presents several interesting features for the development of medical diagnostic systems. We consider a database of 128 patients, 64 of which affected by hepatocellular carcinoma, while the others affected by cirrhosis but not from hepatocellular carcinoma. Each patient is described by a number of attributes measured in non-invasive way.