Ten years of knowledge representation for health care (2009–2018): Topics, trends, and challenges

D Riaño, M Peleg, A Ten Teije - Artificial intelligence in medicine, 2019 - Elsevier
Background In the last ten years, the international workshop on knowledge representation
for health care (KR4HC) has hosted outstanding contributions of the artificial intelligence in …

Medical knowledge management for specific hospital departments

JM Juarez, T Riestra, M Campos, A Morales… - Expert Systems with …, 2009 - Elsevier
Medical knowledge representation and management is concerned with how to organise the
often vague clinical experience of medical staff required for computable models. However …

Detailed clinical models: representing knowledge, data and semantics in healthcare information technology

WTF Goossen - Healthcare informatics research, 2014 - synapse.koreamed.org
Objectives This paper will present an overview of the developmental effort in harmonizing
clinical knowledge modeling using the Detailed Clinical Models (DCMs), and will explain …

Formal medical knowledge representation supports deep learning algorithms, bioinformatics pipelines, genomics data analysis, and big data processes

F Dhombres, J Charlet - Yearbook of medical informatics, 2019 - thieme-connect.com
Objective: To select, present, and summarize the best papers published in 2018 in the field
of Knowledge Representation and Management (KRM). Methods: A comprehensive and …

Knowledge representation and management enabling intelligent interoperability–principles and standards

B Blobel - Data and knowledge for medical decision support, 2013 - ebooks.iospress.nl
Based on the paradigm changes for health, health services and underlying technologies as
well as the need for at best comprehensive and increasingly automated interoperability, the …

Knowledge representations and inference techniques for medical question answering

TR Goodwin, SM Harabagiu - ACM transactions on intelligent systems …, 2017 - dl.acm.org
Answering medical questions related to complex medical cases, as required in modern
Clinical Decision Support (CDS) systems, imposes (1) access to vast medical knowledge …

Representing knowledge consistently across health systems

ST Rosenbloom, RJ Carroll, JL Warner… - Yearbook of medical …, 2017 - thieme-connect.com
Objectives: Electronic health records (EHRs) have increasingly emerged as a powerful
source of clinical data that can be leveraged for reuse in research and in modular health …

Archetype-based knowledge management for semantic interoperability of electronic health records

S Garde, R Chen, H Leslie, T Beale… - … Informatics in a …, 2009 - ebooks.iospress.nl
Formal modeling of clinical content that can be made available internationally is one of the
most promising pathways to semantic interoperability of health information. Drawing on the …

Integrating HL7 RIM and ontology for unified knowledge and data representation in clinical decision support systems

YF Zhang, Y Tian, TS Zhou, K Araki, JS Li - Computer methods and …, 2016 - Elsevier
Background and objectives The broad adoption of clinical decision support systems within
clinical practice has been hampered mainly by the difficulty in expressing domain …

Data-driven knowledge acquisition, validation, and transformation into HL7 Arden Syntax

M Hussain, M Afzal, T Ali, R Ali, WA Khan… - Artificial intelligence in …, 2018 - Elsevier
Objective The objective of this study is to help a team of physicians and knowledge
engineers acquire clinical knowledge from existing practices datasets for treatment of head …