[Laboratory interpretive reporting system. A prototypical approach for knowledge representation in acid-base and electrolyte disorders].
It is important to realize the problem-oriented diagnosis and the goal-oriented one to support general physicians as clinical decision makers under so many laboratory tests more than full with using practically. A prototypical model for computer-assisted interpretation of laboratory data was presented. To achieve both function of the problem-oriented inference and the goal-oriented one, knowledge base in this system was structured using the methods of semantic network and qualitative reasoning. Superficial knowledge level characterized by the intuitive reasoning from test results to diseases and deep knowledge level referring to the relations among the pathophysiologic states were stratified, and the heuristics based on the experiences at bed-side were incorporated in this knowledge representation. The pathophysiologic states were distilled from the textbooks and the articles, and were linked together by the relationships of cause and result, such as functional, constraint or conceptual relationship. Diagnostic knowledge on the computer was reconstructed by the causal network representing the pathological process as qualitative chaining between the pathophysiologic states, and was corrected and compiled by the clinical experiences and the experimental facts. Abnormal test data became a trigger of the start of inference, and presumptive pathophysiologic states and diagnoses were fired on the causal network. Consequently, the most important pathophysiologic states might become to be clear to understand the cause of changes of laboratory data.
Inoue
Y
Y
Department of Medical Informatics, Yamaguchi University Hospital, Ube.
Takahashi
T
T
Iwai
S
S
D000137:Acid-Base Imbalance / Q000175:diagnosis*; D001185:Artificial Intelligence; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D014883:Water-Electrolyte Imbalance / Q000175:diagnosis*