title: Heuristic determination of quantitative data for knowledge acquisition in medicine.
abstract: Knowledge acquisition for medical knowledge bases can be aided by programs that suggest possible values for portions of the data. The paper presents an experiment which was used in designing a heuristic to help the process of knowledge acquisition. The heuristic helps to determine numerical data from stylized literature excerpts in the context of knowledge acquisition for the QMR medical knowledge base. Quantitative suggestions from the heuristics are shown to agree substantially with the data incorporated in the final version of the knowledge base. The experiment shows the potential of knowledge base specific heuristics in simplifying the task of knowledge base creation.
authors.affiliation: Department of Medicine, University of Pittsburgh.
authors.forename: D A
authors.initials: DA
authors.lastname: Giuse
authors.forename: N B
authors.initials: NB
authors.lastname: Giuse
authors.forename: R A
authors.initials: RA
authors.lastname: Bankowitz
authors.forename: R A
authors.initials: RA
authors.lastname: Miller
mesh_terms: D001185:Artificial Intelligence; D002138:Calibration; D003627:Data Interpretation, Statistical; D005103:Expert Systems; D008491:Medical Informatics Applications; D011381:Programming Languages