Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity Y Wen, J Wu, D Das, TLB Tseng Reliability Engineering & System Safety 176, 113-124, 2018 | 115 | 2018 |
Differentiating Alcohol-Induced Driving Behavior Using Steering Wheel Signals D Das, S Zhou, JD Lee Intelligent Transportation Systems, IEEE Transactions on 13 (3), 1355-1368, 2012 | 64 | 2012 |
Optimization of multidisciplinary staffing improves patient experiences at the Mayo Clinic MY Sir, D Nestler, T Hellmich, D Das, MJ Laughlin Jr, MC Dohlman, ... Interfaces 47 (5), 425-441, 2017 | 21 | 2017 |
Statistical Process Monitoring Based on Maximum Entropy Density Approximation and Level Set Principle D Das, S Zhou IIE transactions 47 (3), 2014 | 10 | 2014 |
Functional regression-based monitoring of quality of service in hospital emergency departments D Das, KS Pasupathy, CB Storlie, MY Sir IISE Transactions 51 (9), 1012-1024, 2019 | 9 | 2019 |
Statistical monitoring of over-dispersed multivariate count data using approximate likelihood ratio tests D Das, S Zhou, Y Chen, J Horst International Journal of Production Research, 2016 | 9 | 2016 |
Improving non-invasive hemoglobin measurement accuracy using nonparametric models J Man, MD Zielinski, D Das, P Wutthisirisart, KS Pasupathy Journal of biomedical informatics 126, 103975, 2022 | 8 | 2022 |
Detecting Entropy Increase in Categorical Data Using Maximum Entropy Distribution Approximations D Das, S Zhou IISE Transactions 49 (8), 827-837, 2017 | 8 | 2017 |
Improving accuracy of noninvasive hemoglobin monitors: a functional regression model for streaming SpHb data D Das, KS Pasupathy, NN Haddad, MS Hallbeck, MD Zielinski, MY Sir IEEE Transactions on Biomedical Engineering 66 (3), 759-767, 2018 | 7 | 2018 |
An algorithm portfolio approach to reconfigurable set-up planning R Prasoon, D Das, MK Tiwari, L Wang International Journal of Computer Integrated Manufacturing 24 (8), 756-768, 2011 | 5 | 2011 |
Measuring sensitivity and precision of real-time location systems (RTLS): definition, protocol and demonstration for clinical relevance KR Koenig, KS Pasupathy, TR Hellmich, HJ Hawthorne, VP Karalius, ... Journal of Medical Systems 45, 1-7, 2021 | 4 | 2021 |
Emergency department optimization: Improving timeliness of patient care D Das, M Sir, D Nestler, T Hellmich, G Marisamy, K Pasupathy Value in Health 19 (3), A26-A27, 2016 | 3 | 2016 |
Monitoring of Multiple Binary Data Streams Using a Hierarchical Model Structure D Das, Y Chen, S Zhou, C Sievenpiper Quality reliability engineering international, 2015 | 2 | 2015 |
Non-invasive Hemoglobin Measurement Predictive Analytics with Missing Data and Accuracy Improvement Using Gaussian Process and Functional Regression Model J Man, MD Zielinski, D Das, MY Sir, P Wutthisirisart, M Camazine, ... Journal of Medical Systems 46 (11), 72, 2022 | 1 | 2022 |
Quantifying the impact of resuscitation-team activation in hospital emergency departments X Xian, D Das, KS Pasupathy, ET Boie, M Sir IEEE Journal of Biomedical and Health Informatics 24 (10), 3029-3037, 2020 | 1 | 2020 |
Likelihood ratio-based CUSUM charts for real-time monitoring the quality of service in a network of queues Y Kuang, D Das, M Sir, K Pasupathy IISE Transactions on Healthcare Systems Engineering 13 (4), 344-354, 2023 | | 2023 |
Continuous-Time Monitoring of Queueing Processes Y Kuang, R Xu, J Wu, D Das, K Pasupathy Available at SSRN 4505616, 2023 | | 2023 |
A Continuous-time Stochastic Modeling Approach for Measuring and Monitoring the Cascade of Care for Patients with Alcohol Use Disorder Y Kuang, D Das, M Li, K Johnson IIE Annual Conference. Proceedings, 1-6, 2022 | | 2022 |
System and method for determining a current hemoglobin level KS Pasupathy, DAS Devashish, MD ZIELINSKI, S Hallbeck | | 2020 |
MDP-based Admission Control for A Pure Loss Network with Multiple Arrival Types and Processing Nodes Y Kuang, D Das IIE Annual Conference. Proceedings, 1-6, 2020 | | 2020 |