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A Practical Tool for Visualizing and Data Mining Medical Time Series
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)
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The increasing interest in time series data mining in the last decade has had surprisingly little impact on real world medical applications. ...
Real world practitioners who work with time series on a daily basis rarely take advantage of the wealth of tools that the data mining community has made available. ...
More generally, one may wish for the trailing window to be larger, so that it retains more of a "memory" of the previous data. We leave such considerations for future work. ...
doi:10.1109/cbms.2005.17
dblp:conf/cbms/WeiKLKLRH05
fatcat:sjxljzmfbjgjzilydlccz2pwqi
A Method for Analyzing Time Series Data in Process Mining: Application and Extension of Decision Point Analysis
[chapter]
2015
Lecture Notes in Business Information Processing
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We introduce the DPATS method as an iterative process for exploiting time series data by combining process and data mining techniques. ...
The latter ranges from visual mining to temporal data mining techniques such as dynamic time warping and response feature analysis. ...
The DPATS method features data and visual mining techniques such as dynamic time warping as main analysis step and is implemented and evaluated based on use cases from the logistic and medical domain. ...
doi:10.1007/978-3-319-19270-3_5
fatcat:ta3hsnpnenc27b7pk3axbozygi
ClinFlow – An Interactive Application for Clinical Data Mining
[chapter]
2021
Studies in Health Technology and Informatics
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Our tool allows clinical researchers to conduct data processing and visualization in an interactive environment, thus providing an assisting tool for clinical studies. ...
Analyzing clinical data comes with many challenges. Medical expertise combined with statistical and programming knowledge must go hand-in-hand when applying data mining methods on clinical datasets. ...
When data is uploaded into the tool, constant and time-series variables are automatically detected, and data is split into two tables: patient data and visit data. ...
doi:10.3233/shti210162
pmid:34042747
fatcat:pprurzq5yrgwpmzw4fq7cwtnaq
Intelligent data analysis in biomedicine
2007
Journal of Biomedical Informatics
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It is thus appropriate that a number of papers in this issue investigate the development and evaluation of methods and tools for time-series or temporal data exploration. ...
for applying IDA to real-world problems in basic medical and clinical research and ultimately clinical practice. ...
doi:10.1016/j.jbi.2007.10.001
pmid:17959422
fatcat:7gnwkdxw75gk3kbyjjsgpmmevq
Particularities of data mining in medicine: lessons learned from patient medical time series data analysis
2019
EURASIP Journal on Wireless Communications and Networking
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The application of such process in the domain of medicine has a series of implications and difficulties, especially regarding the application of data mining techniques to data, mainly time series, gathered ...
The goal of this paper is to describe the lessons learned and the experience gathered by the authors applying data mining techniques to real medical patient data including time series. ...
about the application of data mining techniques in the field of medicine. ...
doi:10.1186/s13638-019-1582-2
fatcat:rma6wutrjzer5bnvxdde52ieiu
The impact of data mining techniques on medical diagnostics
2006
Data Science Journal
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Medical data mining has great potential for exploring the hidden patterns in the data sets of the medical domain. These patterns can be utilized for clinical diagnosis. ...
This collected data can be then integrated to form a hospital information system. Data mining technology provides a user-oriented approach to novel and hidden patterns in the data. ...
Data mining techniques form a group of heterogeneous tools and techniques and are used for different purposes. ...
doi:10.2481/dsj.5.119
fatcat:dmgpspofgbdvbkyysu5ivzkjli
Clinical Data Analytics With Time-Related Graphical User Interfaces: Application to Pharmacovigilance
2018
Frontiers in Pharmacology
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These two visualization and data mining applications will help the daily practice of pharmacovigilance. ...
In this paper, we present two visualization and data mining applications to make this task easier for the practitioner. ...
Elisabetta Andermarcher for her careful proofreading of the paper. ...
doi:10.3389/fphar.2018.00717
pmid:30233354
pmcid:PMC6127627
fatcat:odvfzyjxxbc7ffvvj447psrpiu
Contribution to the Association Rules Visualization for Decision Support: A Combined Use Between Boolean Modeling and the Colored 2D Matrix
2019
International Journal of Interactive Multimedia and Artificial Intelligence
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Hence the progressive use of data mining in the medical domain. ...
This category includes medical expert systems [21] and systems based on Data Mining [22] . Our contribution is part of the CDSS based on Data Mining. ...
doi:10.9781/ijimai.2018.09.002
fatcat:srv5vcaahra7fc7oejnrsi3diq
A Survey on Educational Data Mining and Research Trends
2013
International Journal of Database Management Systems
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Educational Data Mining (EDM) is an emerging field exploring data in educational context by applying different Data Mining (DM) techniques/tools. ...
It provides intrinsic knowledge of teaching and learning process for effective education planning. ...
groups
using advanced
normalization,
visualization, and
statistical decision
support tools
Visualization, K-
means, and Neural
Network Clustering,
Time series analysis
Windows,
Mac, Linux ...
doi:10.5121/ijdms.2013.5304
fatcat:5iqbydoopnbupav73ji2k4hkfa
Advanced Coherent System For Predicting Cardiac Risks using Data Mining Techniques
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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Considering health care and medical industry related data there are millions or tons of data which contains numerous hidden information. ...
stress etc for prediction purpose. ...
Orange In Data mining we call Orange as "Fruitful & Fun" which is an Open source ML tool and data visualization for a beginner as well as expertise. ...
doi:10.35940/ijitee.k2526.0981119
fatcat:du4u5isslvg7xcckain6mdjldu
Mining and exploring care pathways from electronic medical records with visual analytics
2015
Journal of Biomedical Informatics
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Objective: In order to derive data-driven insights, we develop Care Pathway Explorer, a system that mines and visualizes a set of frequent event sequences from patient EMR data. ...
Materials and methods: The Care Pathway Explorer uses a frequent sequence mining algorithm adapted to handle the real-world properties of EMR data, including techniques for handling event concurrency, ...
Robert Sorrentino for participating in our case study, and Ping Zhang for assistance with the preparation of data. ...
doi:10.1016/j.jbi.2015.06.020
pmid:26146159
fatcat:nlothp3stjhx3kfc4txmvlwymi
Data mining on temporal data: a visual approach and its clinical application to hemodialysis
2003
Journal of Visual Languages and Computing
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This paper proposes an approach for visual data mining on temporal data and applies it to a real medical problem, i.e. the management of hemodialysis. ...
The quantity and complexity of data acquired, time-stamped and stored in clinical databases by automated medical devices is rapidly and continuously increasing. ...
Acknowledgements This work has been partially supported by a MURST COFIN 2000 project ("Analysis, Information Visualization, and Visual Query in Databases for Clinical Monitoring"). ...
doi:10.1016/j.jvlc.2003.06.003
fatcat:ywalsg4rzrckviz2tizlall3ry
A Proposed Framework for Detecting and Predicting Diseases through Business Intelligence Applications
2019
International journal of advanced networking and applications
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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 ...
serious challenge facing this area is the quality of service provided which means to make the diagnose in a proper manner at a timely manner and provide appropriate medications to patients because Poor ...
This research shows how the early detection and prediction framework can reduce morbidity & mortality, therefore the overall costs of treatments and budget of the healthcare sector will be reduced. ...
doi:10.35444/ijana.2019.10047
fatcat:3cbb63xjingzxeyzrpq4zyc3ee
Facilitating the Development of Deep Learning Models with Visual Analytics for Electronic Health Records
2020
International Journal of Environmental Research and Public Health
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We used a system entailing sequence mining, interpretable deep learning models, and visualization on data extracted from the MIMIC-IIIdatabase for a group of patients diagnosed with heart disease. ...
An interactive Sankey diagram representing these pathways and a heat map visually representing the weight of each variable were developed for temporal and quantitative illustration. ...
Acknowledgments: We would like to thank the domain experts who participated in our study and all the reviewers for their valuable comments. ...
doi:10.3390/ijerph17228303
pmid:33182703
pmcid:PMC7697823
fatcat:vxocb5jct5fl7iesxsfyliw2xq
Exploiting Data Mining Techniques For Improving the Efficiency of Time Series Data
2014
International journal of computer and communication technology
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So it is used to analyse a large audit data efficiently for Improving the Efficiency of Time Series Data. ...
The aim of this paper is to determine the feasibility and effectiveness of data mining techniques in time series data and produce solutions for this purpose. ...
Time series data accounts for a large fraction of the data stored in financial, medical and scientific databases. ...
doi:10.47893/ijcct.2014.1260
fatcat:xyk7jmlq4fgsfd7wenrgij5blm
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