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Temporal representation and reasoning in medicine: Research directions and challenges

Klaus-Peter Adlassnig, Carlo Combi, Amar K. Das, Elpida T. Keravnou, Giuseppe Pozzi
2006 Artificial Intelligence in Medicine  
Objective: The main aim of this paper is to propose and discuss promising directions of research in the field of temporal representation and reasoning in medicine, taking into account the recent scientific  ...  Background: Temporal representation and reasoning in medicine is a well-known field of research in the medical as well as computer science community.  ...  This is followed by Sections 3-5, dealing with temporal reasoning and data mining; health information systems, business processes, and time; and temporal clinical databases.  ... 
doi:10.1016/j.artmed.2006.10.001 pmid:17081736 fatcat:mdcczsayzvgptca67ivy65z46q

Applying process mining and semantic reasoning for process model customisation in healthcare

Silvana Pereira Detro, Eduardo Alves Portela Santos, Hervé Panetto, Eduardo De Loures, Mario Lezoche, Claudia Cabral Moro Barra
2019 Enterprise Information Systems  
Process flexibility plays a key role in high variability environments, such as healthcare.  ...  Thus, this paper proposes a process model customizing method based on ontology and process mining. The method proposed is applied in customizing process models for acute ischemic stroke treatment.  ...  Healthcare is an environment with high process variability.  ... 
doi:10.1080/17517575.2019.1632382 fatcat:6mhm5lboqbgslgcvipnx6257zq

Temporal data representation, normalization, extraction, and reasoning: A review from clinical domain

Mohcine Madkour, Driss Benhaddou, Cui Tao
2016 Computer Methods and Programs in Biomedicine  
However, temporal data representation, normalization, extraction and reasoning are very important in order to mine such massive data and therefore for constructing the clinical timeline.  ...  Methods-This review surveys the methods used in three important area: modeling and representing of time, Medical NLP methods for extracting time, and methods of time reasoning and processing.  ...  Acknowledgments This research is partially supported by the National Institutes of Health under Award Numbers R01LM011829 and R01GM103859.  ... 
doi:10.1016/j.cmpb.2016.02.007 pmid:27040831 pmcid:PMC4837648 fatcat:a75g25csqzdvlkfusbbgwmxigq

Conceptual graph-based knowledge representation for supporting reasoning in African traditional medicine

Bernard Kamsu-Foguem, Gayo Diallo, Clovis Foguem
2013 Engineering applications of artificial intelligence  
Conceptual graph formalism is used to model ATM knowledge with visual reasoning capabilities and processes.  ...  The work described in this paper presents an approach which addresses two issues.  ...  A visual reasoning through CG facilitates this process and could contribute to maintain the natural ties between bioinformatics research and the ancestral practices.  ... 
doi:10.1016/j.engappai.2012.12.004 fatcat:2xh33kigwbcnfh2injbb63cqwu

Combining data mining and case-based reasoning for intelligent decision support for pathology ordering by general practitioners

Zoe Y. Zhuang, Leonid Churilov, Frada Burstein, Ken Sikaris
2009 European Journal of Operational Research  
In this paper a novel methodology for integrating data mining and case-based reasoning for decision support for pathology ordering is proposed.  ...  from these data through data mining with Kohonen's self-organizing maps constitutes the base that, with further assistance of modern data visualization tools and on-line processing interfaces, can provide  ...  In particular, once relevant knowledge is extracted from past data through data mining techniques, it can be retrieved and reused by the CBR process cycle.  ... 
doi:10.1016/j.ejor.2007.11.003 fatcat:cymld3nvkjgurdzg76igcvhyvq

Medical Big Data Analysis in Hospital Information System [chapter]

Jing-Song Li, Yi-Fan Zhang, Yu Tian
2016 Big Data on Real-World Applications  
These data hold great value to the workflow management, patient care and treatment, scientific research, and education in the healthcare industry.  ...  This chapter discusses medical Big Data analysis in HIS, including an introduction to the fundamental concepts, related platforms and technologies of medical Big Data processing, and advanced Big Data  ...  Author details Jing-Song Li * , Yi-Fan Zhang and Yu Tian *Address all correspondence to: Zhejiang University, Hangzhou, China  ... 
doi:10.5772/63754 fatcat:wyzmm5x325fi5nvhsd25viyjby

A Semantic Framework for Continuous U-health Services Provisioning

Matías Echeverría, Angel Jimenez-Molina, Sebastián A. Ríos
2015 Procedia Computer Science  
of semantically selected business processes.  ...  To tackle this issue, this paper proposes a semantic framework for continuous ubiquitous services provisioning. Patients needs are represented in business processes.  ...  Acknowledgements This work was supported by CONICYT -IDeA FONDEF programme, project code: CA13i-10300, and by CON-ICYT -FONDECYT programme, project code: 11130252.  ... 
doi:10.1016/j.procs.2015.08.187 fatcat:tt6q2a3ew5gzjn7azms47xqjn4

Reasoning About Interactive Systems in Dynamic Situations of Use [chapter]

Judy Bowen, Annika Hinze
2017 Human–Computer Interaction Series  
Interactive software, systems and devices are typically designed for a specific (set of) purpose(s) and the design process used ensures that they will perform satisfactorily when used as specified.  ...  This then enables us to consider when, and how, we might utilise such devices in such emergencies.  ...  Semantic reasoning in the semantic web is used to infer facts and relationships between concepts (Horrocks et al, 2004b) .  ... 
doi:10.1007/978-3-319-51838-1_12 fatcat:s6ywbqjqs5b2dbbpaiahlwpbqq

Variance analysis and handling of Clinical Pathway: An overview of the state of knowledge

Gang Du, Liyuan Huang, Mengwei Zhou
2020 IEEE Access  
In variance analysis and handling, there are a lot of imprecise knowledge and fuzzy relations to be reasoned with knowledge of different domains.  ...  Based on the results, the future prospects of clinical pathway variance analysis and handling research is proposed. INDEX TERMS Clinical pathway, processing methods, text mining, variance.  ...  From 2016 to 2019, she has participated in the research of medical operation management. Her research interests include clinical pathway variance modeling and business analysis. VOLUME 8, 2020  ... 
doi:10.1109/access.2020.3020151 fatcat:pe54rtkionfopgz6awtkx7kuzu

A case-based reasoning recommender system for sustainable smart city development

Bokolo Anthony Jnr
2020 AI & Society: The Journal of Human-Centred Systems and Machine Intelligence  
Thus, this study integrates case-based reasoning (CBR) as an artificial intelligence technique to develop a recommender system towards promoting smart city planning.  ...  Results from descriptive and exploratory factor analyses suggest that the developed system is applicable in supporting smart city adoption.  ...  CBR has been previously employed in domains such as in business, management, education, engineering, medical, architectural, etc.  ... 
doi:10.1007/s00146-020-00984-2 fatcat:f6i5e3dxnnhgbp3rcc2nfufex4

The Healthcare Administrator's Associate: an experiment in distributed healthcare information systems

J Fowler, G Martin
1997 Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium  
Development of these tools is part of an effort to enhance access to diverse and geographically distributed healthcare data in order to improve the basis upon which administrative and clinical decisions  ...  The Healthcare Administrator's Associate is a collection of portable tools designed to support analysis of data retrieved via the Internet from diverse distributed healthcare information systems by means  ...  HEALTHCARE ADMINISTRATOR'S ASSOCIATE Data mining is not as straightforward in healthcare as in some other domains, such as business: On-Line Analysis Programs (OLAP) perform best when there are only a  ... 
pmid:9357686 pmcid:PMC2233463 fatcat:6s7v6z6bv5cvzjdjmjylqoevsi

GPU-based Commonsense Paradigms Reasoning for Real-Time Query Answering and Multimodal Analysis [article]

Nguyen Ha Tran, Erik Cambria
2018 arXiv   pre-print
We conduct our experiments on the YouTube dataset and achieve an accuracy of 78% which outperforms all previous systems.  ...  In particular, we focus on the problem of multimodal sentiment analysis, which consists in the simultaneous analysis of different modali- ties, e.g., speech and video, for emotion and polarity detection  ...  an overview of our rule-based reasoning and query processing system, called gSparql.  ... 
arXiv:1807.08804v1 fatcat:xu5m2oh55ndahct7rtrbecjz3m

Computing Pattern in Pervasive Healthcare

Sriram R, Madhusudanan J, Prasanna Venkatesan V, Geetha S
2015 International Journal of Computer Applications  
Many research is going in Pervasive computing in that healthcare is one of the field which is fast growing. The pervasive computing and healthcare is combined and known as Pervasive Healthcare.  ...  In this project, a framework using the architectural pattern such as pipe and filter pattern and model view controller pattern is proposed.  ...  This system does only self-learning process of context in healthcare system and used to monitor the patient through it.  ... 
doi:10.5120/20429-2758 fatcat:gjjoeuajyjcwpedx2sdbkvfrfu

Data Mining and Its Applications for Knowledge Management : A Literature Review from 2007 to 2012

Tipawan Silwattananusarn
2012 International Journal of Data Mining & Knowledge Management Process  
Finally, the applications of data mining techniques in the process of knowledge management are summarized and discussed.  ...  Research in data mining continues growing in business and in learning organization over coming decades.  ...  As a part of data mining research, this paper focuses on surveying data mining applications in knowledge management through a literature review of articles from 2007 to 2012.  ... 
doi:10.5121/ijdkp.2012.2502 fatcat:o646jmu3erayxklidxblpmmwea

SEMPATH Ontology: Modeling multi-disciplinary treatment schemes utilizing semantics

Dimitrios Al. Alexandrou, Constantinos V. Pardalis, Athanasios D. Bouras, Gregoris N. Mentzas
2010 Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine  
The SEMPATH Ontology comprises three main parts: a) the Clinical Pathway part, b) the Business & Finance part and c) the Quality Assurance part.  ...  Our implementation achieves the conceptualization of the multidisciplinary domain of healthcare provision, in order to be further utilized for the implementation of a Semantic Web Rules (SWRL rules) repository  ...  Business process analysis and optimization requires data mining and reasoning over large volumes of data.  ... 
doi:10.1109/itab.2010.5687776 fatcat:iocynagaczdvzgjphceu4igol4
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