Prodigy

Carbonell, Jaime G.; Etzioni, Oren; Gil, Yolanda; Joseph, Robert L.; Knoblock, Craig A.; Minton, Steven; Veloso, Manuela

doi:10.1145/122344.122353

Cited by 102 publications

(4 citation statements)

References 2 publications

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“…Case-based reasoning research has its origins in the pioneering work of a number of researchers in the mid to late 1980s (Rissland, Valcarce, and Ashley 1984;Hammond 1986;Kolodner 1991;Schank and Leake 1989;Carbonell et al 1991;Stanfill and Waltz 1986). These early researchers shared an interest in the role that experiences played in human problem solving and machine reasoning, and their early work represents the starting point for modern case-based reasoning research in which the capture and reuse of experiential problem solving plays a key role in intelligent systems design.…”

Section: Discussionmentioning

confidence: 99%

An Analysis of Current Trends in CBR Research Using Multiview Clustering

et al. 2010

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The European Conference on Case-Based Reasoning (CBR) in 2008 marked 15 years of international and European CBR conferences where almost seven hundred research papers were published. In this report we review the research themes covered in these papers and identify the topics that are active at the moment. The main mechanism for this analysis is a clustering of the research papers based on both co-citation links and text similarity. It is interesting to note that the core set of papers has attracted citations from almost three thousand papers outside the conference collection so it is clear that the CBR conferences are a sub-part of a much larger whole. It is remarkable that the research themes revealed by this analysis do not map directly to the sub-topics of CBR that might appear in a textbook. Instead they reflect the applications-oriented focus of CBR research, and cover the promising application areas and research challenges that are faced.

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Section: Discussionmentioning

confidence: 99%

An Analysis of Current Trends in CBR Research Using Multiview Clustering

et al. 2010

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“…Many studies have successfully represented CG knowledge using different notations, such as the procedural medical-oriented Arden Syntax, rule-based systems such as Drools, guideline definition languages (Graphic Language for Interactive Design [GLIDE] and the openEHR Guideline Definition Language), or Semantic Web rule systems such as SPARQL Inferencing Notation (SPIN) or Shapes Constraint Language (SHACL) [17]. However, knowledge representation technologies do not suffice to represent a specific patient evolution over time, which has led to the development of medical-oriented task-based systems such as PROforma [18], Asbru [19], or Prodigy [20], which have been successfully used in many clinical scenarios but are effectively limited to a few medical institutions owing to the high costs and efforts associated with their implementation. This has favored the introduction in the last years of popular, easy-to-use, general-purpose BPM standards in the health care landscape as a working alternative to complex, medical task-oriented knowledge systems.…”

Section: Related Workmentioning

confidence: 99%

Business Process Model and Notation and openEHR Task Planning for Clinical Pathway Standards in Infections: Critical Analysis

2022

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Background: Clinical pathways (CPs) are usually expressed by means of workflow formalisms, providing health care personnel with an easy-to-understand, high-level conceptual model of medical steps in specific patient conditions, thereby improving overall health care process quality in clinical practice. From a standardized perspective, the business process model and notation (BPMN), a widely spread general-purpose process formalism, has been used for conceptual modeling in clinical domains, mainly because of its easy-to-use graphical notation, facilitating the common understanding and communication of the parties involved in health care. However, BPMN is not particularly oriented toward the peculiarities of complex clinical processes such as infection diagnosis and treatment, in which time plays a critical role, which is why much of the BPMN clinical-oriented research has revolved around how to extend the standard to address these special needs. The shift from an agnostic, general-purpose BPMN notation to a natively clinical-oriented notation such as openEHR Task Planning (TP) could constitute a major step toward clinical process improvement, enhancing the representation of CPs for infection treatment and other complex scenarios.Objective: Our work aimed to analyze the suitability of a clinical-oriented formalism (TP) to successfully represent typical process patterns in infection treatment, identifying domain-specific improvements to the standard that could help enhance its modeling capabilities, thereby promoting the widespread adoption of CPs to improve medical practice and overall health care quality.Methods: Our methodology consisted of 4 major steps: identification of key features of infection CPs through literature review, clinical guideline analysis, and BPMN extensions; analysis of the presence of key features in TP; modeling of relevant process patterns of catheter-related bloodstream infection as a case study; and analysis and proposal of extensions in view of the results. Results:We were able to easily represent the same logic applied in the extended BPMN-based process models in our case study using out-of-the-box standard TP primitives. However, we identified possible improvements to the current version of TP to allow for simpler conceptual models of infection CPs and possibly of other complex clinical scenarios. Conclusions:Our study showed that the clinical-oriented TP specification is able to successfully represent the most complex catheter-related bloodstream infection process patterns depicted in our case study and identified possible extensions that can help increase its adequacy for modeling infection CPs and possibly other complex clinical conditions.

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“…There are several machine‐learning techniques that facilitate this, as the learned models are represented in a form that is easy to understand by humans. Carbonell et al (1991), Brodley (1993), and Vrakas et al (2003) learn classification rules that guide the selector. Vrakas and colleagues (2003) note that the decision to use a classification rule leaner was not so much guided by the performance of the approach, but the easy interpretability of the result.…”

Section: Portfolio Selectorsmentioning

confidence: 99%

Algorithm Selection for Combinatorial Search Problems: A Survey

2014

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The Algorithm Selection Problem is concerned with selecting the best algorithm to solve a given problem on a case-by-case basis. It has become especially relevant in the last decade, as researchers are increasingly investigating how to identify the most suitable existing algorithm for solving a problem instead of developing new algorithms. This survey presents an overview of this work focusing on the contributions made in the area of combinatorial search problems, where Algorithm Selection techniques have achieved significant performance improvements. We unify and organise the vast literature according to criteria that determine Algorithm Selection systems in practice. The comprehensive classification of approaches identifies and analyses the different directions from which Algorithm Selection has been approached. This paper contrasts and compares different methods for solving the problem as well as ways of using these solutions. It closes by identifying directions of current and future research.

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Prodigy

Cited by 102 publications

References 2 publications

An Analysis of Current Trends in CBR Research Using Multiview Clustering

An Analysis of Current Trends in CBR Research Using Multiview Clustering

Business Process Model and Notation and openEHR Task Planning for Clinical Pathway Standards in Infections: Critical Analysis

Algorithm Selection for Combinatorial Search Problems: A Survey

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