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Discovering and Processing Sequential Patterns in Databases

Marek Wojciechowski
2000 International Conference on Extending Database Technology  
A special emphasis will be laid on the fact that the source data is likely to be stored in relational tables.  ...  The query is sent to the Knowledge Discovery Management System which retrieves the data from the database, chooses the right data mining algorithm, and returns results in a form of frequent patterns to  ... 
dblp:conf/edbt/Wojciechowski00 fatcat:foewdrtvlvgydo5qkgfkqbxeau

Automated knowledge extraction for decision model construction: a data mining approach

Ai -Ling Zhu, Jian Li, Tze -Yun Leong
2003 AMIA Annual Symposium Proceedings  
We use the Apriori association rule mining algorithm to generate the co-occurrences of medical concepts, which are then filtered through a set of predefined semantic templates to instantiate useful relations  ...  Combinations of Medical Subject Headings (MeSH) and Subheadings in MEDLINE citations may be used to infer relationships among medical concepts.  ...  R-252-000-111-112/303 from the Agency of Science and Technology (A*Star) and the Ministry of Education in Singapore.  ... 
pmid:14728275 pmcid:PMC1479908 fatcat:q2dx7j6ncbgxbg2b7dbvcjcnq4

Pattern discovery and disentanglement on relational datasets

Andrew K. C. Wong, Pei-Yuan Zhou, Zahid A. Butt
2021 Scientific Reports  
It improves prediction accuracy and facilitates transparent interpretation of discovered knowledge in an explicit representation framework PDD Knowledge Base that links the sources, the patterns, and individual  ...  The difficulties arise from the subtle overlapping and entanglement of functional and statistical relations at the source level.  ...  Author contributions A.W. and P.Z. conceived of the presented idea; A.W. was in charge of overall direction; A.W. and P.Z. designed methodology; P.Z. implemented the website and designed experiments; A.W  ... 
doi:10.1038/s41598-021-84869-4 pmid:33707478 pmcid:PMC7952710 fatcat:vulfhp3bvvhcbgsgwlxguk7rvu

Application of Decision Tree Algorithm for Data Mining in Healthcare Operations: A Case Study

Farhad SoleimanianGharehchopogh, Peyman Mohammadi, Parvin Hakimi
2012 International Journal of Computer Applications  
Nevertheless, we need to know when we should use surgery. This study explains utilization of medical data mining in determination of medical operation methods.  ...  The mechanism of accouchement is a natural and spontaneous process without the need to any intervention.  ...  Data are in datasets and need techniques to discover them and use in clinical decisions. This information must be evaluated for medical researches to be used in health centers.  ... 
doi:10.5120/8206-1613 fatcat:4n5fmqufine2retbtq7a2mepay

Diabetes Disease Detection through Data Mining Techniques

Amira Hassan Abed, Mona Nasr
2019 International journal of advanced networking and applications  
And because there is a lack of effective analysis tools to discover hidden relationships and trends in data, so Health information technology has emerged as a new technology in health care sector in a  ...  In the first stage, noisy, uncertain and inconsistent data was detected and removed from data set through the preprocessing to prepare date to implement a clustering model.  ...  [5] In our work the data will be extracted from the electronic health individuals records as a source of patient medical records and health status and then moved to the data warehouse repositories then  ... 
doi:10.35444/ijana.2019.11012 fatcat:xq5yli3snrewdfvih6sj47ng3q

Data Mining and Knowledge Discovery [chapter]

Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski
1998 Data Mining Methods for Knowledge Discovery  
In this paper, a review study is done on existing data mining and knowledge discovery techniques, applications and process models that are applicable to healthcare environments.  ...  Knowledge Discovery in Databases (KDD) can help organizations turn their data into information.  ...  Data mining algorithms are needed in almost every step in KDD process ranging from domain understanding to knowledge evaluation.  ... 
doi:10.1007/978-1-4615-5589-6_1 fatcat:p2oyvrwv6rdxlam7jtunbsz56q

Data Mining Algorithms in Knowledge Management for Predicting Diabetes After Pregnancy by Using R

Dr Shruti Traymbak, Ms Neha Issar
2021 Indian Journal of Computer Science and Engineering  
In this context data mining classifier algorithms play an important role to discover knowledge from big data.The objective of the present study is tocompare accuracy, sensitivity, specificity, and receiver  ...  Data mining is considered one of the important phenomena in Knowledge Discovery in Database (KDD) process.  ...  Acknowledgements No funding sources  ... 
doi:10.21817/indjcse/2021/v12i6/211206006 fatcat:zivaagpy6nfjnitsykazdq5hge

Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications

Galia Nordon, Gideon Koren, Varda Shalev, Eric Horvitz, Kira Radinsky
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
We present a system that jointly harnesses large-scale electronic health records data and a concept graph mined from the medical literature to guide drug repurposing—the process of applying known drugs  ...  in new ways to treat diseases.  ...  Acknowledgments This work was supported in part by the Lorry I. Lokey Interdisciplinary Center for Life Sciences and Engineering.  ... 
doi:10.1609/aaai.v33i01.33019565 fatcat:4n4kfzlvzncdnilw3gvr4wx7cu

IMPLEMENTATION AND APPLICATIONS OF DATA MIN

Hinayat Sawhney
2017 International Journal of Advanced Research in Computer Science  
involves the exploration of the Medical dataset to discover interesting patterns in the decision-making process The issue in exploring the Medical dataset is that the data produced by any healthcare organization  ...  , the research progressed to analyze the advantages and limitations of each technique Machine learning based on the clustering technique has been applied in the context of Medical Data Mining This process  ...  The next three steps are part of knowledge discovery or data mining • Data mining • Pattern evaluation • Knowledge representation Knowledge Discovery in Databases KDD refers to the wide procedure of discovering  ... 
doi:10.26483/ijarcs.v8i7.4582 fatcat:u62cuakbffbgbpcr624z5nylnq

Survey of Data Mining Techniques used in Healthcare Domain

Sheenal Patel, Hardik Patel
2016 International Journal of Information Sciences and Techniques  
Data mining techniques have the capabilities to discover hidden patterns or relationships among the objects in the medical data.  ...  In last decade, there has been increase in usage of data mining techniques on medical data for determining useful trends or patterns that are used in analysis and decision making.  ...  According to Fayyad et al., the Knowledge Discovery in database is systematized in various stages whereas the first stage is selection of data in which data is gathered from different sources, the second  ... 
doi:10.5121/ijist.2016.6206 fatcat:obbnbm7mrbed7ikqxbe2uqe4yy

Machine learning based outlier detection for medical data

R. Vijaya Kumar Reddy, Shaik Subhani, B. Srinivasa Rao, N. Lakshmipathi Anantha
2021 Indonesian Journal of Electrical Engineering and Computer Science  
In this paper propose a new algorithm for finding the outliers using different datasets. Considering that medical data are analytic of mutually health problems and an activity.  ...  This algorithm potentially overcome the issues and find out the novel knowledge for development of medical date in health care industry.  ...  This algorithm detects the outliers in medical data. The effectiveness of local and global data factor for outlier detection for medical data in real time.  ... 
doi:10.11591/ijeecs.v24.i1.pp564-569 fatcat:m7buzo3kozdbnpjfqq7wbhfape

Mining Genes Relations In Microarray Data Combined With Ontology In Colon Cancer Automated Diagnosis System

A. Gruzdz, A. Ihnatowicz, J. Siddiqi, B. Akhgar
2008 Zenodo  
For this purpose, the system has to learn from data, or be able to interactively specify by a domain specialist, the part of the knowledge structure it needs to answer a given query.  ...  The constitution of the system is based on a) colon cancer clinical data and b) biological information that will be derived by data mining techniques from genomic and proteomic sources The core mining  ...  Strictly, in medical informatics ontology has come to mean a structure list of concepts which include medical knowledge.  ... 
doi:10.5281/zenodo.1057666 fatcat:uincmdqbvrasbclfbsuo2uxase

Relational Network for Knowledge Discovery through Heterogeneous Biomedical and Clinical Features

Huaidong Chen, Wei Chen, Chenglin Liu, Le Zhang, Jing Su, Xiaobo Zhou
2016 Scientific Reports  
"Full feature spectrum" knowledge discovery across heterogeneous data sources remains a major challenge.  ...  Discovered knowledge was cross-validated using data from Wake Forest Baptist Medical Center's electronic medical records and annotated with BioCarta signaling signatures.  ...  We also acknowledge the editorial assistance of Karen Klein, MA, in the Wake Forest Clinical and Translational Science Institute (UL1 TR001420; PI: Li).  ... 
doi:10.1038/srep29915 pmid:27427091 pmcid:PMC4947904 fatcat:ngnr2gftwbgsvjh3delq3tkopi

Clinical Data Mining: a Review

G. Cohen, A. Depeursinge, H. Müller, R. Meyer, A. Geissbuhler, J. Iavindrasana
2009 IMIA Yearbook of Medical Informatics  
variables, systematic report of algorithm parameters including the method to obtain them, use of easy-to-understand models and comparisons of the efficiency of clinical data mining with traditional statistical  ...  We review the literature in order to provide a general overview by identifying the status-of-practice and the challenges ahead.  ...  A comparison with traditional statistical analyses should be carried out to show the data mining effectiveness, in order to convince final users of the knowledge who are mainly medical practitioners.  ... 
doi:10.1055/s-0038-1638651 fatcat:vhcyymnlnvdite6uge3cofo5si

Knowledge Representation and Management: Towards Patient Health Self-management

A.-M. Rassinoux
2012 IMIA Yearbook of Medical Informatics  
SummaryTo summarize excellent current research in the field of knowledge representation and management (KRM).A synopsis of the articles selected for the IMIA Yearbook 2012 is provided and an attempt to  ...  sources.  ...  Acknowledgement I greatly acknowledge the support of Martina Hutter and of the reviewers in the selection process of the IMIA Yearbook.  ... 
doi:10.1055/s-0038-1639442 fatcat:abldijr4hnegjbg7yksrobotby
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