2015 Informs Annual Meeting

TD31

INFORMS Philadelphia – 2015

TD29 29-Room 406, Marriott

3 - A Decision Support System for Traffic Diversion around Construction Closures Arezoo Memarian, Graduate Research Assistant, University of Texas at Arlington, 425 Nedderman Hall, 416 Yates St., Box 19308, Arlington, TX, 76019, United States of America, arezoo.memarian@mavs.uta.edu, Siamak Ardekani The objective of this study is to develop a PC-based decision support tool with a user-friendly graphical interface to allow development of optimal traffic management plans around highway construction sites. In addition to the capability to identify optimum traffic diversion routes, such a tool would also allow simulation of various traffic management plan scenarios envisioned by experts. 4 - Can Virtualization Maturity Impact Software Development Project Performance: An Empirical Study Rohit Nishant, Assistant Professor, ESC Rennes School of Business, 2 Rue Robert d’Arbrissel CS 76522, Rennes, 35065, France, rohit.nishant@esc-rennes.com, Bouchaib Bahli In this article we invoke IT asset classes’ taxonomy and IT capability maturity model to examine the impact of virtualization maturity on software development project performance. Our findings suggest that virtualization capability has a distinct impact on software development project and process performance. Finally, this study extends virtualization maturity model’s validity. Implications for research and practice are discussed. Chair: Mustafa Gokce Baydogan, Assistant Professor, Bogaziai University, Department of Industrial Engineering, Bebek, Istanbul, 34342, Turkey, mustafa.baydogan@boun.edu.tr 1 - On the Parameter Identification of a New Knot Selection Procedure in Mars Cem Iyigun, Associate Professor, Middle East Technical University, ODTU Kampusu Endustri Muhendisligi Bolum, Oda 331 Cankaya, Ankara, 06801, Turkey, iyigun@metu.edu.tr, Elcin Kartal Koc Multivariate Adaptive Regression Splines (MARS) is a popular nonparametric regression for estimating the nonlinear relationship within data via piecewise functions. A clustering based knot selection method has been proposed to the literature recently. This study proposes a parameter selection criteria based on Schwarz’s Bayesian Information for determining the optimum grid size and threshold value of this new procedure. Numerical studies are conducted via artificial and real datasets. 2 - Discovering Interpretable Nonlinear Variation Patterns in High-Dimensional Data over Spatial Domains Phillip Howard, Arizona State University, 699 S Mill Ave, Tempe, AZ, 85281, United States of America, prhoward@asu.edu, Daniel Apley, George Runger The objective of this research is the identification of distinct and interpretable nonlinear variation patterns in high-dimensional data through dimensionality reduction. We present a new method for learning reduced dimension representations which characterize interpretable variation sources when mapped to the original feature space. A new metric for measuring how well the solution can be interpreted is also proposed. We compare our work to alternative methods using several examples. 3 - EEG Signal Classification using Functional Principal Component Analysis Woo-Sik Choi, Mr., Korea University, 145, Anam-Ro, Seongbuk- Gu, Innovation Hall, 816, Korea University, Seoul, Korea, Republic of, etpist@korea.ac.kr, Seoung Bum Kim Electroencephalogram (EEG) is recordings of the electrical potentials of the brain. Identifying human activities from EEG is the main goal of brain computer interface area. To analyze events, selecting important features is a crucial step. In this study, we propose a feature extraction using functional principal component analysis with general classification methods. The effectiveness of the proposed method is demonstrated through a real data from the brain computer interface competition 2003. TD31 31-Room 408, Marriott Time Series Data Mining Sponsor: Data Mining Sponsored Session

Joint Session Analytics/HAS:The Emerging Role of Health Systems Engineering and its Impact on Clinical Informatics and Analytics

Sponsor: Analytics Sponsored Session

Chair: John Zaleski, Chief Informatics Officer, Nuvon, Inc., 4801 S. Broad Street, Suite 120, Philadelphia, PA, 19112, United States of America, jzaleski@nuvon.com 1 - How to Make Clinically Actionable Alarms Jeanne Venella Dnp, Chief Nursing Officer, Nuvon, 4801 S Broad St, Philadelphia, PA, 19112, United States of America, jvenella@nuvon.com

How to Make Clinically Actionable Alarms The very alarm systems that were created to enhance patient safety have themselves become an urgent patient safety concern. We need to fix our current state of alarm systems. We must achieve both a higher level of sensitivity and specificity. Therefore; reducing both false and non-actionable alarms. Our goal is ignite the talk on alarm fatigue, begin to define algorithms for smarter actionable alarms and provide a safer health care environment. 2 - The Kalman Filter and its Application to Real-time Physiologic Monitoring of High-acuity Patients The Kalman Filter (KF) has seen application in many fields owing to its rapid computational framework and intrinsic optimality in tracking time-series. In this presentation, the KF is used to optimally track and smooth signal artifact associated with patient physiologic monitoring. 3 - Predicting the Effect of Introducing Walk in Hours on Staff Workload at a Pediatrics Practice Saurabh Jha, University of Pittsburgh, 1048 Benedum Hall, Department of Industrial Engineering, Pittsburgh, PA, 15261, United States of America, saj79@pitt.edu, Louis Luangkesorn, Diana Hoang, Lindsey Jones, Tricia Pil A local pediatrics practice has introduced patient walk-in hours in response to competition from urgent care clinics and has asked to determine the effect on staff workload. We evaluate the effect of walk-in hours on the practice workload, then develop and validate a predictive model for the various types of visits and phone calls. After validating the predictive model, we develop a forecast for the remainder of the 12 months period following the introduction of all-day walk-ins. Chair: Rohit Nishant, Assistant Professor, ESC Rennes School of Business, 2 rue Robert d’Arbrissel CS 76522, Rennes, 35065, France, rohit.nishant@esc-rennes.com 1 - Routing Recommendation System for Uber Yuhan Wang, University of California Irvine, 6478 Adobe Cir, Irvine, CA, 92617, United States of America, wangyuhan1101@gmail.com Paper not available at this time. 2 - Optimising Allocation of Investor Funds in Multi-objective Public Infrastructure Investment Programs Martin Spollen, Queens University Belfast, David Bates Building, University Road, Belfast, BT7 1NN, United Kingdom, mspollen01@qub.ac.uk This session will examine the development and application of Strategic Infrastructure Planning Models (SIPMs) as an emerging class of investment appraisal techniques for public investment management. The techniques focus attention on the network effects of investment on total portfolio performance. Application to a major regional schools investment and rationalization program is demonstrated. John Zaleski, Chief Informatics Officer, Nuvon, Inc., 4801 S. Broad Street, Suite 120, Philadelphia, PA, 19112, United States of America, jzaleski@nuvon.com TD30 30-Room 407, Marriott Decision Support Systems II Contributed Session

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