title: Intelligent system for topic survey in MEDLINE by keyword recommendation and learning text characteristics.
abstract: We have implemented a system for assisting experts in selecting MEDLINE records for database construction purposes. This system has two specific features: The first is a learning mechanism which extracts characteristics in the abstracts of MEDLINE records of interest as patterns. These patterns reflect selection decisions by experts and are used for screening the records. The second is a keyword recommendation system which assists and supplements experts' knowledge in unexpected cases. Combined with a conventional keyword-based information retrieval system, this system may provide an efficient and comfortable environment for MEDLINE record selection by experts. Some computational experiments are provided to prove that this idea is useful.
authors.affiliation: Department of Business Administration, Ube National College of Technology, 2-14-1, Tokiwadai, Ube 755-8555, Japan. miyako@ube-k.ac.jp
authors.forename: M
authors.initials: M
authors.lastname: Tanaka
authors.forename: S
authors.initials: S
authors.lastname: Nakazono
authors.forename: H
authors.initials: H
authors.lastname: Matsuno
authors.forename: H
authors.initials: H
authors.lastname: Tsujimoto
authors.forename: Y
authors.initials: Y
authors.lastname: Kitamura
authors.forename: S
authors.initials: S
authors.lastname: Miyano
mesh_terms: D001185:Artificial Intelligence; D019295:Computational Biology; D016208:Databases, Factual; D005103:Expert Systems; D016247:Information Storage and Retrieval; D016239:MEDLINE; D009323:Natural Language Processing