Browsing by Author "Sepulveda, Marcos"

Now showing 1 - 10 of 10
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    A Monitoring and Evaluation Scheme for an ICT-Supported Education Program in Schools
    (NATL TAIWAN NORMAL UNIV, TAIWAN, 2010) Rodriguez, Patricio; Nussbaum, Miguel; Lopez, Ximena; Sepulveda, Marcos
    More than 20 years after ICTs were introduced in schools, solid evidence of their impact on student attainment is still lacking. Reasons for this include the mismatch between the methods used to measure the effects and the type of learning promoted, the absence of information regarding the specific types of ICT used, and the scarce attention paid to the monitoring and evaluation of ICT for Education (ICT4E) programs. A monitoring and evaluation scheme would provide qualitative and quantitative data to refine, adjust and improve an ICT4E project, to learn from the experience gained, and to determine whether the program has served its client communities and how it might be replicated.
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    Analysis of the Relationship between the Referral and Evolution of Patients with Type 2 Diabetes Mellitus
    (2018) Alvarez, Camilo; Saint-Pierre Cortés, Cecilia; Herskovic, Valeria; Sepulveda, Marcos
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    Combining iterative heuristic optimization and uncertainty analysis methods for robust parameter design
    (TAYLOR & FRANCIS LTD, 2006) Delpiano, Jose; Sepulveda, Marcos
    A number of investigators have pointed out that products and processes lack quality because of performance inconsistency, which is often due to uncontrollable parameters in the manufacturing process or product usage. Robust design methods are aimed at finding product/process designs that are less sensitive to parameter variation. Robust design of computer simulations requires a large number of runs, which are very time consuming. A novel methodology for robust design is presented in this article. It integrates an iterative heuristic optimization method with uncertainty analysis to achieve effective variability reductions, exploring a large parameter domain with an accessible number of simulations. To demonstrate the effectiveness of this methodology, the robust design of a 0.15 mu m CMOS device is shown.
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    Discovering role interaction models in the Emergency Room using Process Mining
    (2018) Alvarez, Camilo; Rojas, Eric; Arias, Michael; Munoz-Gama, Jorge; Sepulveda, Marcos; Herskovic, Valeria; Capurro, Daniel
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    Distributed simulation with cellular automata using the multispin coding technique
    (ASCE-AMER SOC CIVIL ENGINEERS, 2008) Sepulveda, Marcos; Moreno, Rolando; Pizarro, Gonzalo E.
    Cellular automata (CA) are discrete dynamical mathematical systems that have been used for modeling many physical and engineering systems. Usually they are used as an alternative to more complex models based on partial differential equations. CA models can be implemented efficiently in parallel hardware due to the properties of locality, uniformity, and spatial regularity of the rules that govern their behavior. At the same time, CA simulations make intensive use of memory and processing time. For a widespread use of these models, implementations able to run in short periods of time without requiring specialized hardware are needed. This work presents a generic library able to simulate efficiently CA models, using the multispin coding technique and parallel processing on a network of conventional personal computers. Results of three different models tested show that it is possible to obtain a linear speedup. The observed speedup improves as the domain size increases or the simulated models become more complex, as in the case of a heterogeneous biofilm model used for designing wastewater treatment systems.
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    Innovative informatics methods for process mining in health care
    (ACADEMIC PRESS INC ELSEVIER SCIENCE, 2022) Muñoz Gama, Jorge; Martin, Niels; Fernandez-Llatas, Carlos; Johnson, Owen A.; Sepulveda, Marcos
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    Iterative heuristic response surface method for transmission expansion planning
    (ASCE-AMER SOC CIVIL ENGINEERS, 2007) Sepulveda, Marcos; Onetto, Enrique; Palma Behnke, Rodrigo
    Transmission expansion planning has become a central challenge in the design of competitive electricity markets. The underlying optimization/decision problem exhibits a high level of complexity, being nonconvex, dynamic, and nonlinear, with multiple objective functions and a wide range of uncertainties. In this paper we propose a methodology for handling the expansion problem that involves a novel adaptation of an iterative optimization method based on response surface models already used successfully in the design and manufacture of integrated circuits. It is implemented in a distributed environment using Web services, and is validated and compared with a genetic algorithm based methodology. An application of the proposed methodology to the Chilean Central Interconnected System is then presented and analyzed. The results demonstrate its potential in the fields of risk analysis and decision support systems in power markets.
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    Process-oriented metrics to provide feedback and assess the performance of students who are learning surgical procedures: The percutaneous dilatational tracheostomy case
    (TAYLOR & FRANCIS LTD, 2022) Jose Martinez, Juan; Galvez-Yanjari, Victor; de la Fuente, Rene; Kychenthal, Catalina; Kattan, Eduardo; Bravo, Sebastian; Munoz-Gama, Jorge; Sepulveda, Marcos
    Purpose Assessing competency in surgical procedures is key for instructors to distinguish whether a resident is qualified to perform them on patients. Currently, assessment techniques do not always focus on providing feedback about the order in which the activities need to be performed. In this research, using a Process Mining approach, process-oriented metrics are proposed to assess the training of residents in a Percutaneous Dilatational Tracheostomy (PDT) simulator, identifying the critical points in the execution of the surgical process. Materials and methods A reference process model of the procedure was defined, and video recordings of student training sessions in the PDT simulator were collected and tagged to generate event logs. Three process-oriented metrics were proposed to assess the performance of the residents in training. Results Although the students were proficient in classic metrics, they did not reach the optimum in process-oriented metrics. Only in 25% of the stages the optimum was achieved in the last session. In these stages, the four more challenging activities were also identified, which account for 32% of the process-oriented metrics errors. Conclusions Process-oriented metrics offer a new perspective on surgical procedures performance, providing a more granular perspective, which enables a more specific and actionable feedback for both students and instructors.
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    ProDeM: A Process-Oriented Delphi Method for systematic asynchronous and consensual surgical process modelling
    (ELSEVIER, 2023) Gonzalez-Lopez, Fernanda; Martin, Niels; de la Fuente, Rene; Galvez-Yanjari, Victor; Guzman, Javiera; Kattan, Eduardo; Sepulveda, Marcos; Muñoz Gama, Jorge
    Surgical process models support improving healthcare provision by facilitating communication and reasoning about processes in the medical domain. Modelling surgical processes is challenging as it requires integrating information that might be fragmented, scattered, and not process-oriented. These challenges can be faced by involving healthcare domain experts during process modelling. This paper presents ProDeM: a novel ProcessOriented Delphi Method for the systematic, asynchronous, and consensual modelling of surgical processes. ProDeM is an adaptable and flexible method that acknowledges that: (i) domain experts have busy calendars and might be geographically dispersed, and (ii) various elements of the process model need to be assessed to ensure model quality. The contribution of the paper is twofold as it outlines ProDeM, but also demonstrates its operationalisation in the context of a well-known surgical process. Besides showing the method's feasibility in practice, we also present an evaluation of the method by the experts involved in the demonstration.
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    Understanding Undesired Procedural Behavior in Surgical Training: The Instructor Perspective
    (SPRINGER INTERNATIONAL PUBLISHING AG, 2019) Galvez, Victor; Meneses, Cesar; Fagalde, Gonzalo; Munoz Gama, Jorge; Sepulveda, Marcos; Fuentes, Ricardo; de la Fuente, Rene; DiFrancescomarino, C; Dijkman, R; Zdun, U
    In recent years, a new approach to incorporate the process perspective in the surgical procedural training through Process Mining has been proposed. In this approach, training executions are recorded, to later generate end-to-end process models for the students, describing their execution. Although those end-to-end models are useful for the students, they do not fully capture the needs of the instructors of the training programs. This article proposes a taxonomy of activities for surgical process models, analyzes the specific questions instructors have about the student execution and their undesired procedural behavior, and proposes the Procedural Behavior Instrument, an instrument to answer them in an easy-to-interpret way. A real case was used to test the approach, and a preliminary validity was developed by a medical expert.