1,721,071 research outputs found
sj-pdf-1-pps-10.1177_17456916211053319 – Supplemental material for The Cooperation Databank: Machine-Readable Science Accelerates Research Synthesis
No full textSupplemental material, sj-pdf-1-pps-10.1177_17456916211053319 for The Cooperation Databank: Machine-Readable Science Accelerates Research Synthesis by Giuliana Spadaro, Ilaria Tiddi, Simon Columbus, Shuxian Jin, Annette ten Teije, CoDa Team and Daniel Balliet in Perspectives on Psychological Science</p
Abstract
No full textWe consider the problem of finding a commonly agreed upon diagnosis for errors observed in a system monitored by a number of different expert agents. Each agent is assumed to have its own specialized (expert) view on the system and collectively, the agents have to agree on one or more diagnoses based on their views. Reaching an agreement is complicated by the two factors: (i) different specialisms need not distinguish the same fault modes of a component and (ii) knowledge of different specialisms need not be correct in some cases. This paper analyzes these problems and presents protocols that enable the agents to deal with these issues. 1
Diagnostic Reasoning with Anaesthesia Knowledge
No full textThis paper reports on a collaboration between two research groups. The first group has studied Formalization of ANaesthesia knowledge (FAN). An aim in the knowledge formalization was support of diagnosis, but the diagnostic method to be used was itself not formalized at the time. The second group has developed a general framework for diagnostic reasoning. The framework is parametrized to account for the variation in diagnostic methods. In this paper the diagnostic framework is instantiated to describe the FAN diagnostic method. The result of mapping FAN to the framework is twofold: (1) the FAN diagnostic method has been formalized, and (2) it has been proven that the diagnostic framework is general enough to describe a diagnostic method as a generalization of which it was not designed. Keywords: Diagnosis, Anaesthesia 1 Introduction This paper reports on a collaboration between two research groups. The first group, has investigated Formalization of knowledge in the ANaesthesia domain..
A Hybrid Methodology for Consumer-oriented Healthcare Knowledge Acquisition
No full textIn Consumer Healthcare Informatics it is still difficult for laypersons to find, understand and act on health information, due to the persistent communication gap between specialized medical terminology and “lay” medical terminology used by healthcare consumers. Furthermore, existing clinically-oriented terminologies cannot provide sufficient support when integrated into consumer-oriented applications, so there is a need to create consumer-friendly terminologies reflecting the different ways healthcare consumers express and think about health topics. This work suggests a methodology to acquire consumer health terminology for creating a Consumer-oriented Medical Vocabulary for Italian that mitigates this gap. This resource, aligned to a standard medical terminology, could be useful in Personal Health Records to improve users’ accessibility to their healthcare data.We performed evaluation mapping on acquired data to the International Classification of Primary Care (ICPC-2) to find overlaps and the candidate “lay” terms that can be considered good synonyms for the medical ones
Preface
No full textThis book constitutes the refereed post-conference proceedings of the First International Workshop on Artificial Intelligence in Health, AIH 2018, in Stockholm, Sweden, in July 2018. This workshop consolidated the workshops CARE, KRH4C and AI4HC into a single event.
The 18 revised full papers included in this volume were carefully selected from the 26 papers accepted for presentation out of 42 initial submissions. The papers present AI technologies with medical applications and are organized in three tracks: agents in healthcare; data science and decision systems in medicine; and knowledge management in healthcare
Web Service Composition for Deductive Web Mining: A Knowledge Modelling Approach
No full textComposition of simpler web services into custom applications is understood as promising technique for information requests in a heterogeneous and changing environment. This is also relevant for applications analysing the content and structure of the web. We discuss the ways the problem-solving-method approach studied in artificial intelligence can be adopted for template-based service composition for this problem domain; main focus is on the classification task
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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