Automatic case acquisition from texts for process-oriented case-based reasoning

This paper introduces a method for the automatic acquisition of a rich case representation from free text for process-oriented case-based reasoning. Case engineering is among the most complicated and costly tasks in implementing a case-based reasoning system. This is especially so for process-oriented case-based reasoning, where more expressive case representations are generally used and, in our opinion, actually required for satisfactory case adaptation. In this context, the ability to acquire cases automatically from procedural texts is a major step forward in order to reason on processes. We therefore detail a methodology that makes case acquisition from processes described as free text possible, with special attention given to assembly instruction texts. This methodology extends the techniques we used to extract actions from cooking recipes. We argue that techniques taken from natural language processing are required for this task, and that they give satisfactory results. An evaluation based on our implemented prototype extracting workflows from recipe texts is provided.Comment: Sous presse, publication pr\'evue en 201

Semi-automatic annotation process for procedural texts: An application on cooking recipes

Taaable is a case-based reasoning system that adapts cooking recipes to user constraints. Within it, the preparation part of recipes is formalised as a graph. This graph is a semantic representation of the sequence of instructions composing the cooking process and is used to compute the procedure adaptation, conjointly with the textual adaptation. It is composed of cooking actions and ingredients, among others, represented as vertices, and semantic relations between those, shown as arcs, and is built automatically thanks to natural language processing. The results of the automatic annotation process is often a disconnected graph, representing an incomplete annotation, or may contain errors. Therefore, a validating and correcting step is required. In this paper, we present an existing graphic tool named \kcatos, conceived for representing and editing decision trees, and show how it has been adapted and integrated in WikiTaaable, the semantic wiki in which the knowledge used by Taaable is stored. This interface provides the wiki users with a way to correct the case representation of the cooking process, improving at the same time the quality of the knowledge about cooking procedures stored in WikiTaaable

Acute transverse myelitis in Lyme neuroborreliosis

Introduction: Acute transverse myelitis (ATM) is a rare disorder (1-8 new cases per million of population per year), with 20% of all cases occurring in patients younger than 18years of age. Diagnosis requires clinical symptoms and evidence of inflammation within the spinal cord (cerebrospinal fluid and/or magnetic resonance imaging). ATM due to neuroborreliosis typically presents with impressive clinical manifestations. Case presentation: Here we present a case of Lyme neuroborreliosis-associated ATM with severe MRI and CSF findings, but surprisingly few clinical manifestations and late conversion of the immunoglobulin G CSF/blood index of Borrelia burgdorferi sensu lato. Conclusion: Clinical symptoms and signs of neuroborrelial ATM may be minimal, even in cases with severe involvement of the spine, as shown by imaging studies. The CSF/blood index can be negative in the early stages and does not exclude Lyme neuroborreliosis; if there is strong clinical suspicion of Lyme neuroborreliosis, appropriate treatment should be started and the CSF/blood index repeated to confirm the diagnosi

Acute transverse myelitis in Lyme neuroborreliosis

Introduction: Acute transverse myelitis (ATM) is a rare disorder (1-8 new cases per million of population per year), with 20% of all cases occurring in patients younger than 18years of age. Diagnosis requires clinical symptoms and evidence of inflammation within the spinal cord (cerebrospinal fluid and/or magnetic resonance imaging). ATM due to neuroborreliosis typically presents with impressive clinical manifestations. Case presentation: Here we present a case of Lyme neuroborreliosis-associated ATM with severe MRI and CSF findings, but surprisingly few clinical manifestations and late conversion of the immunoglobulin G CSF/blood index of Borrelia burgdorferi sensu lato. Conclusion: Clinical symptoms and signs of neuroborrelial ATM may be minimal, even in cases with severe involvement of the spine, as shown by imaging studies. The CSF/blood index can be negative in the early stages and does not exclude Lyme neuroborreliosis; if there is strong clinical suspicion of Lyme neuroborreliosis, appropriate treatment should be started and the CSF/blood index repeated to confirm the diagnosi

Construction d'une ontologie de descripteurs UCD en astronomie

Les descripteurs UCD (Unified Content Descriptors) permettent de décrire des données d'astronomie. Un processus de standardisation, qui est resté sur un plan purement syntaxique jusqu'à présent, s'est avéré nécessaire et aucune sémantique formelle n'a été associée aux descripteurs normalisés. Dans cet article, nous présentons une méthodologie pour construire une ontologie des UCD normalisés en OWL. Cette ontologie est ensuite exploitée pour l'attribution semi-automatique d'UCD des descriptions de propriétés d'objets célestes issues de catalogues d'astronomie. Cette procédure exploite une classification approchée et progressive s'appuyant sur des méta-donnes qui établissent des liens entre les éléments lexicaux employés dans les descriptions et les propriétés des objets représentant les UCD dans l'ontologie

Radiation dose optimization in pediatric temporal bone computed tomography: influence of tube tension on image contrast and image quality

Introduction: The purpose of this experimental study was to investigate the effect of tube tension reduction on image contrast and image quality in pediatric temporal bone computed tomography (CT). Methods: Seven lamb heads with infant-equivalent sizes were scanned repeatedly, using four tube tensions from 140 to 80kV while the CT-Dose Index (CTDI) was held constant. Scanning was repeated with four CTDI values from 30 to 3mGy. Image contrast was calculated for the middle ear as the Hounsfield unit (HU) difference between bone and air and for the inner ear as the HU difference between bone and fluid. The influence of tube tension on high-contrast detail delineation was evaluated using a phantom. The subjective image quality of eight middle and inner ear structures was assessed using a 4-point scale (scores 1-2 = insufficient; scores 3-4 = sufficient). Results: Middle and inner ear contrast showed a near linear increase with tube tension reduction (r = −0.94/−0.88) and was highest at 80kV. Tube tension had no influence on spatial resolution. Subjective image quality analysis showed significantly better scoring at lower tube tensions, with highest image quality at 80kV. However, image quality improvement was most relevant for low-dose scans. Conclusions: Image contrast in the temporal bone is significantly higher at low tube tensions, leading to a better subjective image quality. Highest contrast and best quality were found at 80kV. This image quality improvement might be utilized to further reduce the radiation dose in pediatric low-dose CT protocol

An education and training programme for radiological institutes: impact on the reduction of the CT radiation dose

Objectives: To establish an education and training programme for the reduction of CT radiation doses and to assess this programme's efficacy. Methods: Ten radiological institutes were counselled. The optimisation programme included a small group workshop and a lecture on radiation dose reduction strategies. The radiation dose used for five CT protocols (paranasal sinuses, brain, chest, pulmonary angiography and abdomen) was assessed using the dose-length product (DLP) before and after the optimisation programme. The mean DLP values were compared with national diagnostic reference levels (DRLs). Results: The average reduction of the DLP after optimisation was 37% for the sinuses (180 vs. 113mGycm, P < 0.001), 9% for the brain (982 vs. 896mGycm, P < 0.05), 24% for the chest (425 vs. 322mGycm, P < 0.05) and 42% for the pulmonary arteries (352 vs. 203mGycm, P < 0.001). No significant change in DLP was found for abdominal CT. The post-optimisation DLP values of the sinuses, brain, chest, pulmonary arteries and abdomen were 68%, 10%, 20%, 55% and 15% below the DRL, respectively. Conclusions: The education and training programme for radiological institutes is effective in achieving a substantial reduction in CT radiation dos

Strategien zur Reduktion der CT-Strahlendosis

Zusammenfassung: Die rasante technische Weiterentwicklung der CT hat in den letzten Jahren zu einer deutlichen Zunahme der diagnostischen Möglichkeiten geführt, mit dem Resultat, dass die CT-Untersuchungszahlen weltweit angestiegen sind. Dies hat ebenfalls Auswirkung auf die Strahlenexposition der Bevölkerung. Bis heute sind zahlreiche Publikationen erschienen, die gezeigt haben, dass eine Dosisreduktion erreicht werden kann, ohne dadurch die Bildqualität und Sensitivität der CT zu beeinträchtigen. Die Mehrzahl der Strategien zur Dosisoptimierung sind einfach anzuwenden und unabhängig von der Detektorkonfiguration des CT-Scanners. Im vorliegenden Übersichtsartikel werden die wichtigsten Methoden vorgestellt: indikationsabhängige Methoden (z.B. rechtfertigende Indikation, Reduktion der Röhrenspannung für die CT-Angiographie, Wahl von Kollimation und Pitchfaktor, Minimierung der Untersuchungsphasen, Senkung der Röhrenspannung und des -stroms für die Nativphase), herstellerabhängige Methoden (z.B. automatische Röhrenstrommodulation, adaptive Filter zur Reduktion des Bildrauschens, iterative Bildrekonstruktion) und allgemeine Methoden (z.B. Patientenzentrierung im Isozentrum der CT-Gantry, Reduktion der Scanlänge, Anwendung von Röntgenschutzmitteln, Reduktion der Röhrenspannung und/oder des -stroms für den CT-Planungsscan

Collaborative Knowledge Acquisition under Control of a Non-Regression Test System

14 pagesInternational audienceThis paper introduces BeGoood, a generic system for man- aging non-regression tests on knowledge-bases. BeGoood is a system al- lowing to define test plans in order to monitor the evolution of knowledge- bases. Any system answering queries by providing results in the form of set of strings can be tested with BeGoood. BeGoood has been devel- oped following a REST architecture and is independent of any applica- tion domain. This paper describes the architecture of the system and gives a use case to illustrate how BeGoood is able to manage a collab- orative knowledge evolution in the framework of a case-based reasoning system