Use of conditional rule structure to automate clinical decision support: a comparison of artificial intelligence and deterministic programming techniques

Journal Article · Mon Aug 01 04:00:00 EDT 1983 · Comput. Biomed. Res.; (United States)

DOI:https://doi.org/10.1016/0010-4809(83)90061-7· OSTI ID:5304436

Friedman, R H; Frank, A D

A rule-based computer system was developed to perform clinical decision-making support within a medical information system, oncology practice, and clinical research. This rule-based system, which has been programmed using deterministic rules, possesses features of generalizability, modularity of structure, convenience in rule acquisition, explanability, and utility for patient care and teaching, features which have been identified as advantages of artificial intelligence (AI) rule-based systems. Formal rules are primarily represented as conditional statements; common conditions and actions are stored in system dictionaries so that they can be recalled at any time to form new decision rules. Important similarities and differences exist in the structure of this system and clinical computer systems utilizing artificial intelligence (AI) production rule techniques. The non-AI rule-based system posesses advantages in cost and ease of implementation. The degree to which significant medical decision problems can be solved by this technique remains uncertain as does whether the more complex AI methodologies will be required. 15 references.

• Research Organization: Boston Univ. School Of Medicine, MA
• OSTI ID: 5304436
• Journal Information: Comput. Biomed. Res.; (United States), Journal Name: Comput. Biomed. Res.; (United States) Journal Issue: 4 Vol. 4; ISSN CBMRB
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
990200* -- Mathematics & Computers
990300 -- Information Handling
ARTIFICIAL INTELLIGENCE
COMPARATIVE EVALUATIONS
INFORMATION SYSTEMS
PROGRAMMING
USES