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Biomedical subjects

S Pizzutilo

Publications and source records attributed to S Pizzutilo.

6 recordsLinked to original sources
PubMed1994

OPADE: optimization of drug prescription using advanced informatics.

The computerized drug prescription system (CDPS) is an old, almost obsolete, dream, and numerous researchers have developed prototypes or even full fledged packages. But few systems are currently used in clinical practice. The OPADE project, presented in this paper, aims at developing a computerized system which allows for optimization of drug prescription from a medical, patient compliance and economical point of view; the system will be adapted to different European countries, integrated and customized to local medical practice so as to insure user acceptance.

Computer Systems↗
PubMed1990

A consultation system constructor for medical data analysis.

MAD is a system that helps an expert data analyst in a specific application domain (like epidemiology or image analysis) to build reasoning models aimed at fulfilling specific tasks. These models may be subsequently used to guide doctors in the analysis of a set of data referring to a specific ground domain. Expert knowledge is represented at various levels: a general description of an application domain and various models that formalize the reasoning followed to perform specific tasks within a defined application domain. Reasoning models are represented as rules of propositional calculus, and a meta-knowledge permits to support knowledge acquisition. During the consultation, different external programs may be run when needed, without the doctor having to learn how to use them. MAD is written in Golden Common LISP and may be linked to any external software for data analysis, provided it runs under MS-DOS and does not require more than 192 Kb. Examples of application of the system to epidemiology and image analysis are given.

Computer Simulation↗
PubMedDate not supplied

MICRO-IDEA: improving decisions in epidemiological analysis by a microcomputer.

A microcomputer system has been designed to promote uniform and correct epidemiological data handling in the Local Health Units of the National Health Service in Italy. The system allows to define files of any format, to perform the common data manipulation procedures and to make simple statistical analyses. Two modules, based on artificial intelligence techniques, give the possibility to input from 'experts' and to update domain-specific knowledge concerning facts which characterize the application area covered by the file, and some consultation models which represent the reasoning to follow when solving problems of epidemiological data analysis. A decision support module allows an inexpert user to have access to these models, and to be guided in the choice of the appropriate procedure. The menu-driven interactive approach insures a friendly user-to-system interface, and entails a little training for effective use by health workers inexpert in informatics.

Artificial Intelligence↗