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Text Summerization Using Weighted Archetypal Analysis

PROF. VIJAY ANIL KULKARNI
2017 Zenodo  
In this paper, we aim for text summarization based on Archetypal Analysis Algorithm (AAA) to make simple understandable summary.  ...  An extractive summarization it can select important sentences, paragraphs etc. from the main collected document and integrate them into shorter form.  ...  In this paper, we propose text summarization based on Archetypal Analysis Algorithm (WAA) to make simple understandable summary.  ... 
doi:10.5281/zenodo.1453831 fatcat:dfhwanyqpvff7ob4fptcjbquyi

Performance analysis and assessment of a tf-idf based archetype-SNOMED-CT binding algorithm

Sheng Yu, Damon Berry, Jesus Bisbal
2011 2011 24th International Symposium on Computer-Based Medical Systems (CBMS)  
Term bindings in archetypes are at a boundary between health information models and health terminology for dual model-based electronic health-care record (EHR) systems.  ...  In order to assess the quality of the automatic search, the authors extracted all the unique bound codes from 1133 archetypes from an archetype repository.  ...  It is hoped and expected that the performance of different algorithms can be compared in this way.  ... 
doi:10.1109/cbms.2011.5999029 dblp:conf/cbms/YuBB11 fatcat:polvtvdvtjgjbf3qnv7hw5cmji

Creating ISO/EN 13606 archetypes based on clinical information needs

Christoph Rinner, Michael Kohler, Gudrun Hübner-Bloder, Samrend Saboor, Elske Ammenwerth, Georg Duftschmid
2011 Studies in Health Technology and Informatics  
Archetypes model individual EHR contents and build the basis of the dual-model approach used in the ISO/EN 13606 EHR architecture.  ...  We present an approach to create archetypes using an iterative development process. It includes automated generation of electronic case report forms from archetypes.  ...  In this project we examine to what extent dual-model based EHR architectures can support EHR users in selectively retrieving information that is relevant in their respective search context and thus avoid  ... 
pmid:21685584 fatcat:6253qlj6wfhdncn65tva7fyg54

Archetypal Analysis for Sparse Representation-based Hyperspectral Sub-pixel Quantification [article]

Lukas Drees, Ribana Roscher, Susanne Wenzel
2018 arXiv   pre-print
We automatically determine the elementary spectra from image reference data using archetypal analysis by simplex volume maximization, and combine it with reversible jump Markov chain Monte Carlo method  ...  In our experiments, the estimation of the automatically derived elementary spectra is compared to the estimation obtained by a manually designed spectral library by means of reconstruction error, mean  ...  We exploit archetypal analysis to extract elementary spectra in a fully automatic and unsupervised way.  ... 
arXiv:1802.02813v1 fatcat:dt5gkfiqlvh6pdjpmkeuxcc7am

Archetype modeling methodology

David Moner, José Alberto Maldonado, Montserrat Robles
2018 Journal of Biomedical Informatics  
Although there exist many experiences about using archetypes in the literature, a comprehensive and formal methodology for archetype modeling does not exist.  ...  AM: Archetype Model AMM: Archetype Modeling Methodology CIM: Clinical Information Model RM: Reference Model  ...  Scope definition and work group selection o Inputs: A request for modeling clinical information in a specific domain.o Outputs: Initial analysis document.  ... 
doi:10.1016/j.jbi.2018.02.003 pmid:29454107 fatcat:aeialmsye5hrtioerzk4buesne

Redefining Binarization and the Visual Archetype [article]

Anguelos Nicolaou, Liwicki Marcus
2016 arXiv   pre-print
In this paper we propose a rethinking of what binarization is. We introduce the notion of the visual archetype as the ideal form of any one document.  ...  Binarization can be defined as the restoration of the visual archetype for a class of images.  ...  The visual archetypes for some document element types define colors in continuous ranges, while in other document element types as selections from a finite palette which in some cases contains only tones  ... 
arXiv:1609.09451v1 fatcat:bzxmhbshfje4nbqdvrmthvytoi

Validating archetypes for the Multiple Sclerosis Functional Composite

Michael Braun, Alexander Ulrich Brandt, Stefan Schulz, Martin Boeker
2014 BMC Medical Informatics and Decision Making  
The appropriate archetype class was selected and the data elements were implemented in an iterative refinement process.  ...  Clinical and information modelling experts validated the models in a structured review process.  ...  Furthermore, we would like to thank Sebastian Mansow-Model and Sebastian Bischoff from Meedical GmbH (former gfnmediber GmbH, Berlin, Germany) for their critical reception of our archetypes and the helpful  ... 
doi:10.1186/1472-6947-14-64 pmid:25087081 pmcid:PMC4131486 fatcat:cy2ccbctfzgx7lydpucg3fqvje

Metro Maps of Plant Disease Dynamics—Automated Mining of Differences Using Hyperspectral Images

Mirwaes Wahabzada, Anne-Katrin Mahlein, Christian Bauckhage, Ulrike Steiner, Erich-Christian Oerke, Kristian Kersting, David A Lightfoot
2015 PLoS ONE  
To achieve this, we build on top of a recent linear time matrix factorization technique, called Simplex Volume Maximization, in order to automatically discover archetypal hyperspectral signatures that  ...  In this paper, we present a cascade of data mining techniques for fast and reliable data-driven sketching of complex hyperspectral dynamics in plant science and plant phenotyping.  ...  Automatically determined Dirichlet mean signatures per day are shown in Fig. 3 where the Dirichlet mean signatures in the left column were obtained prior to a selection of disease archetypal signatures  ... 
doi:10.1371/journal.pone.0116902 pmid:25621489 pmcid:PMC4306502 fatcat:sj3irs4awzd6bgt6fmwzhmzdi4

Using openEHR Archetypes for Automated Extraction of Numerical Information from Clinical Narratives

Maximilian Zubke, Oliver J Bott, Michael Marschollek
2019 Studies in Health Technology and Informatics  
We have evaluated our method by extracting the values to three openEHR archetypes from unstructured documents in English and German language.  ...  Such data is called unstructured because the information it contains cannot be retrieved automatically as straightforward as from structured data.  ...  To learn such associations, we introduced the idea of archetype-specific language models, which is visualized in Figure 4 .  ... 
doi:10.3233/shti190820 pmid:31483268 fatcat:vnkv4wvifbbz7hg5zdpbym6sle

Nutrition Information in Oncology - Extending the Electronic Patient-Record Data Set

Priscila A Maranhão, Ana Margarida Pereira, Conceição Calhau, Paula Ravasco, Federico Bozzetti, Alessandro Laviano, Liz Isenring, Elisa V Bandera, Maureen B Huhmann, Pedro Vieira-Marques, Ricardo J Cruz-Correia
2020 Journal of medical systems  
This study designed new openEHR-archetypes for nutrition management in cancer patients. These archetypes can be included in EHR.  ...  cancer patients that were not included on the Clinical Knowledge Manager (CKM) repository; 2) modelling of the archetypes using the Ocean Archetype Software and submission to the CKM repository; 3) creating  ...  Archetype modelling in openEHR Subsequently, the selected concepts were modelled as openEHR archetypes. Archetype modelling has been widely applied in previous studies [30, 32, 34] .  ... 
doi:10.1007/s10916-020-01649-9 pmid:32986139 pmcid:PMC7520877 fatcat:7utpoyicjncwhc3echbhf6dfi4

Augmented EHR: Enrichment of EHR with Contents from Semantic Web Sources

Alejandro Mañas-García, José Alberto Maldonado, Mar Marcos, Diego Boscá, Montserrat Robles
2021 Applied Sciences  
The starting point is a standardized EHR extract described by an archetype.  ...  Finally, to exemplify the approach, the work includes a practical use case in which the summarized EHR is augmented with drug–drug interactions and disease-related treatment information.  ...  In addition, the augmentation archetype can be automatically modeled by building an archetype consisting of a cluster that holds one element for each data item in the augmentation content.  ... 
doi:10.3390/app11093978 doaj:8172b04fc6334b999d0b4dd399244190 fatcat:2ycx3aw6vrg7xfoxh4dxp5672m

Transformation of microbiology data into a standardised data representation using OpenEHR

Antje Wulff, Infection Control Study Group, Claas Baier, Sarah Ballout, Erik Tute, Kim Katrin Sommer, Martin Kaase, Anneka Sargeant, Cora Drenkhahn, Dirk Schlüter, Michael Marschollek, Simone Scheithauer
2021 Scientific Reports  
In this work, we present a multi-centric standardisation approach by using openEHR as modelling standard. Data models have been consented in a multicentre and international approach.  ...  We were able to develop standardised and interoperable microbiology data models.  ...  Moreover, we want to thank all domain experts and data stewards for their engagement and support in data modelling and archetype reviewing.  ... 
doi:10.1038/s41598-021-89796-y pmid:34006956 fatcat:cwg2kg4sz5gyjdiisgazoosmry

The Systematic Design of Industrial Products through Design Archetypes: An Application on Mechanical Transmissions

Alberto Vergnano, Francesco Gherardini, Francesco Leali
2020 Applied Sciences  
Finally, the design archetype updates the parameters of a first embodiment computer-aided design model of the concept.  ...  In this work, we introduce a design tool, called design archetype, for collecting and managing knowledge in systematic design processes.  ...  As a final result, this simplification enables the automatic modeling of such a complex system, and a CAD model is embodied and updated in accordance with a datasheet, which is a common tool in the design  ... 
doi:10.3390/app10072277 fatcat:2bz6hezzj5hnphtv5eyxfubwwq

Knowledge representation and management: towards an integration of a semantic web in daily health practice

N Griffon, J Charlet, Sj Darmoni, Section Editors for the IMIA Yearbook 2013, Section on Knowledge Representation and Management
2013 IMIA Yearbook of Medical Informatics  
In the review of the second set of 86 articles, the same topics included in the previous IMIA yearbook remain active research fields: Knowledge extraction, automatic indexing, information retrieval, natural  ...  Among the four selected articles (see Table 1), one focuses on knowledge engineering to prevent adverse drug events; the objective of the second is to propose mappings between clinical archetypes and SNOMED  ...  The methodology involved the systematic analysis and formalization of the knowledge sources elaborated in the scope of this work, for which an application-specifi c knowledge model had been defi ned.  ... 
pmid:23974563 fatcat:27bhrebeqve43bpgp2ear2a36a

Knowledge Representation and Management: Towards an Integration of a Semantic Web in Daily Health Practice

N. Griffon, J. Charlet, SJ. Darmoni
2013 IMIA Yearbook of Medical Informatics  
Results: Among the four selected articles (see Table 1), one focuses on knowledge engineering to prevent adverse drug events; the objective of the second is to propose mappings between clinical archetypes  ...  In the review of the second set of 86 articles, the same topics included in the previous IMIA yearbook remain active research fields: Knowledge extraction, automatic indexing, information retrieval, natural  ...  The methodology involved the systematic analysis and formalization of the knowledge sources elaborated in the scope of this work, for which an application-specific knowledge model had been defined.  ... 
doi:10.1055/s-0038-1638847 fatcat:fvg2kgtcwjebfh5h2p3akpue4y
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