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Mining Treatment-Outcome Constructs from Sequential Software Engineering Data [article]

Maleknaz Nayebi, Guenther Ruhe, Thomas Zimmermann
2019 arXiv   pre-print
Relating the treatments to the outcome through statistical tests, treatment-outcome constructs are automatically mined from the data. The output of GWM is a set of treatment-outcome constructs.  ...  Many investigations in empirical software engineering look at sequences of data resulting from development or management processes.  ...  This research was partially supported by the Natural Sciences and Engineering Research Council of Canada, NSERC Discovery Grant 250343-12 and Alberta Innovates Technology Future.  ... 
arXiv:1901.05604v1 fatcat:mrfrt6wmqbhq5gsu7cd6ztnutq

Study on the Clinical Characteristics and Treatment of Obstetric Hypertension with Sequence Pattern Mining Algorithm

Jiawei Li, Balakrishnan Nagaraj
2021 Journal of Healthcare Engineering  
Using the electronic medical record data from a medical centre, the time-series relationship of the drugs taken by hypertension patients was extracted as the drug sequence dataset.  ...  Aiming at the difficulty in setting the support threshold for sequential pattern mining algorithms and improving the effectiveness of the support threshold setting without the guidance of domain experts  ...  Li et al. improved PrefixSpan algorithm and proposed an improved sequential pattern mining (ISPM) algorithm. is algorithm can significantly reduce the construction times of the projection database, thus  ... 
doi:10.1155/2021/1072446 pmid:34616526 pmcid:PMC8490047 fatcat:u55de334x5ewjnjfhp6v3z24qm

A Review on Health Data Using Data Mining Techniques

A. R. Pon Periasamy, S. Mohan
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Data Mining refers to the mining of useful and interesting patterns from large data sets. Medical data now a day is available in abundance but without proper mining they cannot be used.  ...  Using data mining techniques on medical data several critical issues can be understood better and dealt with starting from studying risk factors of several diseases to identification of the diseases occurring  ...  Decision trees used in data mining are of two main types: Classification tree analysis is when the predicted outcome is the class to which the data belongs.  ... 
doi:10.23956/ijarcsse/v7i3/0136 fatcat:aiuujdr3j5c2zbpwgatf35lq5e

Knowledge Grid Support for Treatment of Traumatic Brain Injury Victims [chapter]

Peter Brezany, A. Min Tjoa, Martin Rusnak, Jarmila Brezanyova, Ivan Janciak
2003 Lecture Notes in Computer Science  
It is clear from the data presented in many international studies, that improvement of outcomes is useful not only for the patients, but also for entire national economy.  ...  This paper introduces a new software infrastructure, called TBI Knowledge Grid that will provide health professionals involved in the treatment and management of TBI patients with Information Technology  ...  The architecture of the Knowledge Grid system which will support the management and treatment of traumatic brain injury victims was proposed and the detailed design of its components has been elaborated  ... 
doi:10.1007/3-540-44839-x_48 fatcat:pgotfhkot5bnpd3kfk5ku6gnoa

Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice [chapter]

Joao H. Bettencourt-Silva, Gurdeep S. Mannu, Beatriz de la Iglesia
2016 Lecture Notes in Computer Science  
We have created a methodology to integrate patient-centric data from different EMR systems into clinical pathways that represent the history of all patient interactions with the hospital during the course  ...  This paper starts by presenting the state-of-the-art in visualisation of clinical and other health related data.  ...  CaP VIS ExploraTree software displaying a selected pathway (patients with the same sequential activities).  ... 
doi:10.1007/978-3-319-50478-0_5 fatcat:4zd7ataaj5hdhnauvareztad7q

Modelling of Cancer Patient Records: A Structured Approach to Data Mining and Visual Analytics [chapter]

Jing Lu, Alan Hales, David Rew
2017 Lecture Notes in Computer Science  
Modern data mining software and visual analytics tools permit new insights into temporallystructured clinical data.  ...  Visual analytics software has enabled the comparison of survival times and surgical treatments.  ...  Data Mining and Analytics Sequential Patterns Mining Querying the patient profiles is the starting point before pre-processing for sequential patterns mining.  ... 
doi:10.1007/978-3-319-64265-9_4 fatcat:sqjiw5xlonbvpnnxpsp7abrftm

Mining and exploring care pathways from electronic medical records with visual analytics

Adam Perer, Fei Wang, Jianying Hu
2015 Journal of Biomedical Informatics  
of patterns mined from EMR data.  ...  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.  ...  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

Evidence of occupational accidents with equipment in mining – a systematic review protocol

J. Duarte, J. Santos Baptista, A. Torres Marques
2018 International Journal of Occupational and Environmental Safety  
All of the data treatment is detailed, including the risk of bias and attempts to manage it.  ...  In order to accomplish this primary objective, the main engineering databases and journals were selected (i.e.  ...  Study records Data management The selected records from all the sources will be retrieved and managed by Mendeley software for de-duplication. Then, both title and abstracts are rescreened.  ... 
doi:10.24840/2184-0954_002.002_0009 fatcat:lshjzbxplfhshkv35jip2yfzj4

An Efficient Ensemble Sequence Classifier

I-Hui Li, I-En Liao, Jin-Han Lin, Jyun-Yao Huang
2016 Journal of Software  
The first phase mines sequential patterns and builds the features of each class, whereas the second phase classifies sequences based on class scores using a pattern coverage rate.  ...  The second stage creates an ensemble classifier by some classifiers built from the first stage, to improve the prediction accuracy.  ...  In the first phase, the classifier mines the sequential patterns and constructs the features of each class.  ... 
doi:10.17706/jsw.11.2.133-147 fatcat:giifpfx7mbc7dmz2rradxkqs7a

Pattern Discovery of User Interface Sequencing by Rehabilitation Clients with Cognitive Impairments

William N. Robinson, Ali Raza Syed, Arash Akhlaghi, Tianjie Deng
2012 2012 45th Hawaii International Conference on System Sciences  
We demonstrate the use of sequence pattern mining as applied to monitoring the usage of emailing software by clients with cognitive impairments.  ...  Consequently, clinicians can now consider sequential patterns in their analysis of client emailing behaviors.  ...  Constructing a business process model from a transaction log is a typical application.  ... 
doi:10.1109/hicss.2012.467 dblp:conf/hicss/RobinsonSAD12 fatcat:uofjctlt65c7rcl57z6575owji

Methodologies of Data Mining in Healthcare: A Inspection

A. R. Pon Periasamy, S. Mohan
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Data mining Data mining is a stage knowledge discovery process. This stage is useful for extracting the meaningful patterns from data.  ...  Data mining is gaining popularity in disparate research fields due to its boundless applications and approaches to mine the data in an appropriate manner.  ...  ., International Journal of Advanced Research in Computer Science and Software Engineering 7(3), March-2017, pp. 283-290 © 2017, IJARCSSE All Rights Reserved © 2017, IJARCSSE All Rights ReservedPage  ... 
doi:10.23956/ijarcsse/v7i3/0135 fatcat:ce53i4dmw5cmrpzfz7fwip5sga

Occupational exposure to dust in road construction, earthworks and open-pit mining – a scoping review protocol

J. Duarte, Mário Vaz, J. Torres Costa, J. Santos Baptista
2019 International Journal of Occupational and Environmental Safety  
All of the data treatment is detailed, including the risk of bias and attempts to manage it.  ...  Several occupational activities can contribute to this problem, being open-pit mining and related activities such as road construction and earthworks some examples.  ...  Study records Data management After retrieving search results, the records will be exported from each database/journal and managed using Mendeley software.  ... 
doi:10.24840/2184-0954_003.002_0003 fatcat:ohfbw24edvecdc453ofsrccrty

Some Future Software Engineering Opportunities and Challenges [chapter]

Barry Boehm
2010 The Future of Software Engineering  
efficient sequential software programs to efficient parallel programs [Patterson, 2010] ; The explosion in sources of electronic data and ways to search and analyze them, such as search engines and recommender  ...  Increased needs to accommodate COTS, software services, and legacy systems; 5. Increasingly large volumes of data and ways to learn from them; 6. Increased emphasis on users and end value; 7.  ...  Data mining is a more general term for processes that extract patterns from data.  ... 
doi:10.1007/978-3-642-15187-3_1 dblp:conf/birthday/Boehm10 fatcat:d5qadwobp5ht5d2vashd7cmxgy

Virtual and Augmented Reality

Victoria Interrante, Tobias Hollerer, Anatole Lecuyer
2018 IEEE Computer Graphics and Applications  
The amount of data collected is said to double every nine months. Seeking knowledge from massive data is one of the most desired attributes of Data Mining.  ...  In general, there is a huge gap from the stored data to the knowledge that could be construed from the data.  ...  The modified behaviours of the software components become security critical in a connected world where application systems are constructed from a collection of software components.  ... 
doi:10.1109/mcg.2018.021951630 fatcat:qbnwukkylvf7dacyk2ko5fval4

Transition Discovery of Sequential Behaviors in Email Application Usage Using Hidden Markov Models

William N. Robinson, Arash Akhlaghi, Tianjie Deng
2013 2013 46th Hawaii International Conference on System Sciences  
Requirements monitors provide high-level feedback on software usage in real-time.  ...  By differencing the resulting sequence of generated HMMs, the technique can identify transitions in software usage.  ...  Requirements Monitoring Tool Support Runtime monitoring of software is increasingly importance to software engineering [30] .  ... 
doi:10.1109/hicss.2013.574 dblp:conf/hicss/RobinsonAD13 fatcat:5inoq2n46rhmvplicabgd7oshi
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