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GOClonto: An ontological clustering approach for conceptualizing PubMed abstracts

Hai-Tao Zheng, Charles Borchert, Hong-Gee Kim
2010 Journal of Biomedical Informatics  
Concurrent with progress in biomedical sciences, an overwhelming of textual knowledge is accumulating in the biomedical literature.  ...  However, most of these methods do not explore the semantic relationships among groupings of documents, which could help better illuminate the groupings of PubMed abstracts.  ...  Acknowledgment This work was supported by ministry for health, welfare and family affairs, South Korea [A05-0909-A80405-06A2-15010A, Ontology-based EHR (electronic health record) Interoperability Technology  ... 
doi:10.1016/j.jbi.2009.07.006 pmid:19635585 fatcat:wkmwrijq2rctvo7bi4tjgrnef4

A fuzzy system for helping medical diagnosis of malformations of cortical development

Silvia Alayón, Richard Robertson, Simon K. Warfield, Juan Ruiz-Alzola
2007 Journal of Biomedical Informatics  
An exhaustive evaluation of the system by comparison with published cases and a ROC analysis is presented in the paper.  ...  There is no automated system for aiding the observer in making the diagnosis of a cortical malformation. In this paper a fuzzy rule-based system is proposed as a solution for this problem.  ...  Acknowledgements This investigation was supported in part by NSF ITR 0426558, a research grant from the Whitaker Foundation, a research grant from CIMIT, grant RG 3478A2/2 from the NMSS, and by NIH grants  ... 
doi:10.1016/j.jbi.2006.11.002 pmid:17197247 pmcid:PMC2099697 fatcat:xgfo5scrxjaifmximbhzlhvbjm

Bio-ontologies: current trends and future directions

O. Bodenreider
2006 Briefings in Bioinformatics  
Interest in the use of formal ontology has continued in the development of semantic similarity metrics over ontologically annotated corpora.  ...  After its beginnings as a technology advocated by computer scientists to overcome problems of heterogeneity, ontology has been taken up by biologists themselves as a means to consistently annotate features  ...  The first large biomedical ontology developed with description logics was GALEN-the Generalized Architecture for Languages, Encyclopedias and Nomenclatures in medicine.  ... 
doi:10.1093/bib/bbl027 pmid:16899495 pmcid:PMC1847325 fatcat:iwzoi4hqi5gmze6ekzwyugcfmy

A Comprehensive Fuzzy Ontology-Based Decision Support System for Alzheimer's Disease Diagnosis

Nora Shoaip, Amira Rezk, Shaker El-Sappagh, Louai Alarabi, Sherif Barakat, Mohammed Elmogy
2020 IEEE Access  
It is a comprehensive semantic knowledge base toward the development of fuzzy ontology-based CDSS for AD diagnosis.  ...  The possibility of semantic interoperability is taken into account by integrating ADDO and a heterogeneous AD dataset. We used ADNI as a case study to mapping a set of real instances.  ...  Information Technology, Faculty of Computers and Information, Mansoura University, Egypt.  ... 
doi:10.1109/access.2020.3048435 fatcat:asxbpuhffvebjnhkzoi57hswki

Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework

Sabrina Azzi, Stéphane Gagnon, Alex Ramirez, Gregory Richards
2020 Applied Sciences  
A total of 24,782 articles were identified.  ...  Healthcare is considered as one of the most promising application areas for artificial intelligence and analytics (AIA) just after the emergence of the latter.  ...  Funding: We acknowledge support by the National Capital Management Research Fund. Conflicts of Interest: The authors declare no conflict of interest. Appl. Sci. 2020, 10, 6553  ... 
doi:10.3390/app10186553 doaj:b03bcc6944824d55825a0d6daa7f3459 fatcat:vztt35io3nhefml6ljsgmtebj4

Modeling human newspaper readers: The Fuzzy Believer approach

RALF KRESTEL, SABINE BERGLER, RENÉ WITTE
2012 Natural Language Engineering  
The goal of our Fuzzy Believer system presented in this paper is to extract and analyze statements of opinion from newspaper articles.  ...  The Fuzzy Believer models a human agent, deciding what statements to believe or reject based on a range of configurable strategies.  ...  The parser outputs semantic relations, which comprise a logical subject and verb, and sometimes also a logical object.  ... 
doi:10.1017/s1351324912000289 fatcat:fr6unjumwzdxjngwae2oje7vke

Next Generation Phenotyping Using the Unified Medical Language System

Tomasz Adamusiak, Naoki Shimoyama, Mary Shimoyama
2014 JMIR Medical Informatics  
by the Meaningful Use legislation.  ...  The other side of the coin is that it is now becoming increasingly more difficult to navigate the profusion of many disparate clinical terminology standards, which often span millions of concepts.  ...  This project was funded in part by the Advancing a Healthier Wisconsin endowment at the Medical College of Wisconsin, the National Center for Research Resources, the National Center for Advancing Translational  ... 
doi:10.2196/medinform.3172 pmid:25601137 pmcid:PMC4288084 fatcat:7yrq4p52szgudmupxb3kiz5jim

Clinical Data Reuse or Secondary Use: Current Status and Potential Future Progress

S. M. Meystre, C. Lovis, T. Bürkle, G. Tognola, A. Budrionis, C. U. Lehmann
2017 IMIA Yearbook of Medical Informatics  
Each selected publication was reviewed by the authors, and a structured analysis and summarization of its content was developed.  ...  data reuse, structured data mining, clinical practice and research integration, and examples of clinical data reuse (quality measurement and learning healthcare systems).  ...  Fuzzy neural networks are the combination of neural networks and fuzzy logic.  ... 
doi:10.1055/s-0037-1606528 fatcat:w4tlhei2nngeviqjza43rcmuom

Clinical Data Reuse or Secondary Use: Current Status and Potential Future Progress

S. M. Meystre, C. Lovis, T. Bürkle, G. Tognola, A. Budrionis, C. U. Lehmann
2017 IMIA Yearbook of Medical Informatics  
Each selected publication was reviewed by the authors, and a structured analysis and summarization of its content was developed.  ...  data reuse, structured data mining, clinical practice and research integration, and examples of clinical data reuse (quality measurement and learning healthcare systems).  ...  Fuzzy neural networks are the combination of neural networks and fuzzy logic.  ... 
doi:10.15265/iy-2017-007 pmid:28480475 pmcid:PMC6239225 fatcat:7yr5gt7uvzg5zcchiv5e4zmdcm

Ontology-based semantic clustering

Montserrat Batet
2011 AI Communications  
On having consulted this thesis you're accepting the following use conditions: Spreading this thesis by the TDX (www.tesisenxarxa.net) service has been authorized by the titular of the intellectual property  ...  Acknowledgements This work has been partially supported by the Spanish Ministry of Science and Innovation (DAMASK project, Data mining algorithms with semantic knowledge, TIN2009-11005) and the Spanish  ...  UNIVERSITAT ROVIRA I VIRGILI ONTOLOGY BASED SEMANTIC CLUSTERING Montserrat Batet Sanroma ISBN:9788469432327/DL:T. 1043 UNIVERSITAT ROVIRA I VIRGILI ONTOLOGY BASED SEMANTIC CLUSTERING Montserrat Batet  ... 
doi:10.3233/aic-2011-0501 fatcat:anuhrvzepfezre6qkx5ryh3mam

Biomedical Named Entity Recognition: A Survey of Machine-Learning Tools [chapter]

David Campos, Sergio Matos, Jose Luis
2012 Theory and Applications for Advanced Text Mining  
Matos is funded by FCT under the Ciência programme.  ...  However, in most cases, morphological variants of words have similar semantic interpretations, and can be considered as equivalent.  ...  The best performing solution achieves . % of F-measure using exact matching. "s we can see, ChemSpot and SC"I have similar characteristics in terms of model and features.  ... 
doi:10.5772/51066 fatcat:yjvzpbiod5b4dejpqufsuvplsy

Computational methods for Traditional Chinese Medicine: A survey

Suryani Lukman, Yulan He, Siu-Cheung Hui
2007 Computer Methods and Programs in Biomedicine  
types of databases, and mining tools.  ...  Aspects of computational TCM diagnosis, namely inspection, auscultation, pulse analysis as well as TCM expert systems are reviewed in term of their benefits and drawbacks.  ...  In this way, biomedical mining of TCM can be focused on problems addressable by TCM but not by Western medicine.  ... 
doi:10.1016/j.cmpb.2007.09.008 pmid:17983685 fatcat:pladmfn4mrd7pg7zuw5mhbqreq

SNOMED CT standard ontology based on the ontology for general medical science

Shaker El-Sappagh, Francesco Franda, Farman Ali, Kyung-Sup Kwak
2018 BMC Medical Informatics and Decision Making  
Conclusion: The resulting ontology can enhance the semantics of clinical decision support systems and semantic interoperability among distributed electronic health records.  ...  Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is a comprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic  ...  , semantic consistency checking, and the definition of formal logic-based semantics for defining concepts.  ... 
doi:10.1186/s12911-018-0651-5 pmid:30170591 pmcid:PMC6119323 fatcat:pco2b6gqxvhbbdclh4poxtvxqq

SNOMED CT's problem list: ontologists' and logicians' therapy suggestions

Stefan Schulz, Boontawee Suntisrivaraporn, Franz Baader
2007 Studies in Health Technology and Informatics  
After a critical review of the present architecture of SNOMED CT, addressing both logical and ontological issues, we present a roadmap towards an overall improvement of this terminology.  ...  Finally, we propose a new approach to modeling part-whole hierarchies, as well as the integration of qualifier relations into the description logic framework.  ...  We Description Asthenia here sketch the specification of a logic which seems to be well As advocated by [12, 13] for biomedical ontologies  ... 
pmid:17911827 fatcat:5npkesi7zrbopn6vyp5hs2qkzu

Integrating SNOMED CT into the UMLS: An Exploration of Different Views of Synonymy and Quality of Editing

Kin Wah Fung, William T. Hole, Stuart J. Nelson, Suresh Srinivasan, Tammy Powell, Laura Roth
2005 JAMIA Journal of the American Medical Informatics Association  
Agreement between UMLS editors and noneditors was measured by comparing the mean synonymy scores of editors to noneditors.  ...  Measurements: The synonymy scores of each subject were compared to the gold standard (the overall mean synonymy score of all subjects) to assess accuracy.  ...  ) and polyonomy (multiple names for one concept), which are common occurrences in biomedical nomenclature.  ... 
doi:10.1197/jamia.m1767 pmid:15802483 pmcid:PMC1174894 fatcat:wvzfs3dppzeshjdyhi73ztwusi
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