THE SYSTEM FOR NEUROLOGICAL ANALYSIS OF PATIENT SYMPTOMS: AN INTEGRATED ARTIFICIAL INTELLIGENCE PROTOTYPE

摘要

To create a stroke expert system prototype that reads a patient text file; computes a disease location; and presents brain graphics showing the lesion. Methods: Coded in Common Lisp; The Natural Language Module reads a text file; parses; and produces parse trees. An Information Extraction Module employs rules to extract data from parse trees and to store these into a database. A Neuro-Anatomic Atlas has been created to represent clinically relevant nervous system structures. A Localization Module employs rules and methods to map from a clinical finding to an anatomic structure. The Graphics Module presents representations of brain structures corresponding to the localization. A 3D Brain Model has been created by scanning a specimen and is a part of this module. Results: Text files representing stroke syndromes are analyzed by the system which produces localization hypotheses and graphical representations of the structures. Formal controlled trials of program behavior are planned. Conclusions: The prototype demonstrates feasibility and should; as new knowledge is incorporated; evolve into a utility for diagnosis; instruction; and experimentation. Formal testing will be required in later stages of the project.