Development of an expert system for pediatric auditory brainstem response interpretation.
Expert systems are computer programs which incorporate artificial intelligence technology and are created to emulate the decision-making abilities of human experts. The advantage of such systems lies in their ability to capture and model expert problem solving knowledge in a domain and make it available to an unlimited number of consumers in an economic and efficient way. The purpose of this project was to develop an expert system to interpret infant auditory brainstem response data as entered by the user. The resulting system provides diagnostic conclusions regarding hearing status, type of hearing loss, and brainstem function at an accuracy level equal to that of a human expert.
Tharpe
A M
AM
Division of Hearing and Speech Sciences, Vanderbilt University School of Medicine, Nashville, Tennessee.
Biswas
G
G
Hall
J W
JW
D001185:Artificial Intelligence; D002675:Child, Preschool; D003936:Diagnosis, Computer-Assisted; D004867:Equipment Design; D016057:Evoked Potentials, Auditory, Brain Stem; D005103:Expert Systems; D005260:Female; D006309:Hearing / Q000502:physiology*; D006320:Hearing Tests; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D010372:Pediatrics