Work

Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models

Year: 2012

Type: article

Source: Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2011.12.007

Authors: Jonathan M. Garibaldi, Shang-Ming Zhou, Xiao-Ying Wang, Robert I. John, Ian O. Ellis

Institutions: University of Nottingham, Swansea University, De Montfort University

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Chemotherapy Foundation, Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council

Awards: G1410755077, G2631157787, Towards a Framework for Modelling Variation in Automated Decision Support, G5741150469, Centre for the Development and Evaluation of Complex Interventions for Public Health Improvement (DECIPHer), G6924204801, Towards a Framework for Modelling Variation in Automated Decision Support

OpenAlex ID: W2021212601

FWCI: 5.124

Cites: 36

Cited by: 37

Related to: 10