A Model Based Slicing Technique for Process Mining Healthcare Information

Model Based Approach to Cyber–Physical Systems Status Monitoring

Computers ◽

10.3390/computers9020047 ◽

2020 ◽

Vol 9 (2) ◽

pp. 47

Author(s):

Alexander Vodyaho ◽

Saddam Abbas ◽

Nataly Zhukova ◽

Michael Chervoncev

Keyword(s):

Process Mining ◽

Real Life ◽

Cyber Physical Systems ◽

Current Status ◽

Actual State ◽

Suggested Approach ◽

Physical Systems ◽

Model Based ◽

The Status ◽

And Behavior

The distinctive feature of new generation information systems is not only their complexity in terms of number of elements, number of connections and hierarchy levels, but also their constantly changing structure and behavior. In this situation the problem of receiving actual information about the observed complex Cyber–Physical Systems (CPS) current status becomes a rather difficult task. This information is needed by stakeholders for solving tasks concerning keeping the system operational, improving its efficiency, ensuring security, etc. Known approaches to solving the problem of the complex distributed CPS actual status definition are not enough effective. The authors propose a model based approach to solving the task of monitoring the status of complex CPS. There are a number of known model based approaches to complex distributed CPS monitoring, but their main difference in comparison with the suggested one is that known approaches by the most part use static models which are to be build manually by experts. It takes a lot of human efforts and often results in errors. Our idea is that automata models of structure and behavior of the observed system are used and both of these models are built and kept in actual state in automatic mode on the basis of log file information. The proposed approach is based, on one hand, on the results of the authors researches in the field of automatic synthesis of multi-level automata models of observed systems and, on the other hand, on well known algorithms of process mining. In the paper typical monitoring tasks are described and generalized algorithms for solving them using the proposed system of models are presented. An example of real life systems based on the suggested approach is given. The approach can be recommended to use for building CPS of medium and high complexity, characterized by high structural dynamics and cognitive behavior.

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Information system risk auditing model based on process mining

2012 International Conference on Management Science & Engineering 19th Annual Conference Proceedings ◽

10.1109/icmse.2012.6414158 ◽

2012 ◽

Author(s):

Zuo-ming Huang ◽

Qiu-shi Cong ◽

Ji-bing Hu

Keyword(s):

Information System ◽

Process Mining ◽

Model Based ◽

System Risk

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Model-Based Business Process Mining

Information Systems Management ◽

10.1201/1078.10580530/45769.23.1.20061201/91769.3 ◽

2006 ◽

Vol 23 (1) ◽

pp. 19-31 ◽

Cited By ~ 14

Author(s):

Jon Espen Ingvaldsen ◽

Jon Atle Gulla

Keyword(s):

Business Process ◽

Process Mining ◽

Model Based ◽

Business Process Mining

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Steps towards an Healthcare Information Model based on openEHR

Procedia Computer Science ◽

10.1016/j.procs.2021.04.015 ◽

2021 ◽

Vol 184 ◽

pp. 893-898

Author(s):

Daniela Oliveira ◽

Rui Miranda ◽

Francini Hak ◽

Nuno Abreu ◽

Pedro Leuschner ◽

...

Keyword(s):

Information Model ◽

Healthcare Information ◽

Model Based

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A Method for Building Service Process Value Model Based on Process Mining

Applied Sciences ◽

10.3390/app10207311 ◽

2020 ◽

Vol 10 (20) ◽

pp. 7311

Author(s):

Xuequan Zhou ◽

Gregory Zacharewicz ◽

David Chen ◽

Dianhui Chu

Keyword(s):

Value Creation ◽

Domain Knowledge ◽

Service System ◽

Process Mining ◽

Service Process ◽

Customer Requirements ◽

Model Based ◽

Collaborative Value Creation ◽

Value Model

With the emergence and development of servitization, more and more enterprises are turning from product focus to service focus. Service is customer-oriented, and driven by customer requirements. Value is the goal pursued by all actors in the service. In order to analyze the mechanism of multi-actor collaborative value creation in the service process, this paper proposes a method for building a service process value model, based on process mining. Driven by the raw data and an event log of service activities and processes in the real world, stored in the service system, the method uses process mining techniques and combines domain knowledge to describe the construction steps of the service process value model at the conceptual level. We focus on the specific processes and activities in the service, and mainly consider the value creation of the activity. The model proposed in this paper aims, to reflect how service actors co-create value in the actual execution of service processes, and to help service actors achieve their value goals. We use a case study inspired by an industrial case to validate our idea. Moreover, we develop a new plug-in, based on the α-algorithm for ProM, to realize the model construction in the case study.

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Representation, abstraction, and simple-minded sophisticates

Behavioral and Brain Sciences ◽

10.1017/s0140525x19002942 ◽

2020 ◽

Vol 43 ◽

Author(s):

Peter Dayan

Keyword(s):

Decision Theory ◽

Predictive Coding ◽

Bayesian Decision Theory ◽

Bayesian Decision ◽

Model Based ◽

Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

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Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

Microscopy and Microanalysis ◽

10.1017/s1431927600028968 ◽

2001 ◽

Vol 7 (S2) ◽

pp. 578-579

Author(s):

David W. Knowles ◽

Sophie A. Lelièvre ◽

Carlos Ortiz de Solόrzano ◽

Stephen J. Lockett ◽

Mina J. Bissell ◽

...

Keyword(s):

Image Analysis ◽

Mammary Epithelial Cells ◽

Nuclear Organization ◽

Critical Role ◽

Quantitative Model ◽

Mammary Epithelial ◽

Cell Phenotype ◽

Proliferating Cells ◽

Mitotic Apparatus ◽

Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

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