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2020 – today
- 2024
[j10]Darpit Dave, Kathan Vyas
, Gerard L. Coté, Madhav Erraguntla:
Hypoglycemia and hyperglycemia detection using ECG: A multi-threshold based personalized fusion model. Biomed. Signal Process. Control. 96: 106569 (2024)- [i2]Darpit Dave, Kathan Vyas, Jagadish Kumaran Jayagopal, Alfredo Garcia, Madhav Erraguntla, Mark Lawley:
FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions. CoRR abs/2408.13926 (2024) - 2023
- [c22]Kathan Vyas, Carolina Villegas, Elizabeth Kubota-Mishra, Darpit Dave, Madhav Erraguntla, Gerard L. Coté, Daniel J. DeSalvo, Siripoom McKay, Ricardo Gutierrez-Osuna:
Detection of glycemic excursions using morphological and time-domain ECG features. BSN 2023: 1-4 - 2022
- [j9]Lilia Aljihmani, Oussama Kerdjidj, Goran Petrovski, Madhav Erraguntla, Farzan Sasangohar, Ranjana K. Mehta, Khalid A. Qaraqe:
Hand tremor-based hypoglycemia detection and prediction in adolescents with type 1 diabetes. Biomed. Signal Process. Control. 78: 103869 (2022) - [c21]Mu Yang, Darpit Dave, Madhav Erraguntla, Gerard L. Coté, Ricardo Gutierrez-Osuna:
Joint Hypoglycemia Prediction and Glucose Forecasting via Deep Multi-Task Learning. ICASSP 2022: 1136-1140 - 2021
- [i1]Samira Ziyadidegan, Moein Razavi, Homa Pesarakli, Amir Hossein Javid, Madhav Erraguntla:
Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning. CoRR abs/2106.12766 (2021) - 2020
- [j8]Lilia Aljihmani, Oussama Kerdjidj, Yibo Zhu, Ranjana K. Mehta, Madhav Erraguntla, Farzan Sasangohar, Khalid A. Qaraqe:
Classification of Fatigue Phases in Healthy and Diabetic Adults Using Wearable Sensor. Sensors 20(23): 6897 (2020)
2010 – 2019
- 2019
- [j7]Madhav Erraguntla, Josef Zapletal, Mark Lawley:
Framework for Infectious Disease Analysis: A comprehensive and integrative multi-modeling approach to disease prediction and management. Health Informatics J. 25(4) (2019) - [j6]Joseph K. Nuamah, Farzan Sasangohar, Madhav Erraguntla, Ranjana K. Mehta:
The past, present and future of opioid withdrawal assessment: a scoping review of scales and technologies. BMC Medical Informatics Decis. Mak. 19(1): 113:1-113:11 (2019) - [j5]Joseph K. Nuamah, Farzan Sasangohar, Madhav Erraguntla, Ranjana K. Mehta:
Correction to: The past, present and future of opioid withdrawal assessment: a scoping review of scales and technologies. BMC Medical Informatics Decis. Mak. 19(1): 126 (2019) - [j4]Ineen Sultana, Madhav Erraguntla, Hye-Chung Kum, Dursun Delen, Mark Lawley:
Post-acute care referral in United States of America: a multiregional study of factors associated with referral destination in a cohort of patients with coronary artery bypass graft or valve replacement. BMC Medical Informatics Decis. Mak. 19(1): 223:1-223:15 (2019) - [c20]Lilia Aljihmani, Yibo Zhu, Hasan T. Abbas, Ranjana K. Mehta, Farzan Sasangohar, Madhav Erraguntla, Qammer H. Abbasi, Khalid A. Qaraqe:
Spectral Analysis of Hand Tremors Induced During a Fatigue Test. CBMS 2019: 658-663 - [c19]Lilia Aljihmani, Hasan T. Abbas, Yibo Zhu, Ranjana K. Mehta, Farzan Sasangohar, Madhav Erraguntla, Mark Lawley, Qammer H. Abbasi, Khalid A. Qaraqe:
Features of Physiological Tremor in Diabetic Patients. ISC2 2019: 268-271 - 2018
- [c18]John Freeze, Madhav Erraguntla, Akshans Verma:
Data Integration and Predictive Analysis System for Disease Prophylaxis: Incorporating Dengue Fever Forecasts. HICSS 2018: 1-10 - 2017
- [c17]Madhav Erraguntla, John Freeze, Dursun Delen, Karthic Madanagopal, Richard J. Mayer, Jam Khojasteh:
Data Integration and Predictive Analysis System for Disease Prophylaxis. HICSS 2017: 1-10 - 2014
- [c16]Madhav Erraguntla, Peter Tomasulo, Kevin Land, Hany Kamel, Marjorie Bravo, Barbee Whitaker, Richard J. Mayer, Sarita Khaire:
Data Mining to Improve Safety of Blood Donation Process. HICSS 2014: 789-795 - 2012
- [c15]Madhav Erraguntla, Belita Gopal, Satheesh Ramachandran, Richard J. Mayer:
Inference of Missing ICD 9 Codes Using Text Mining and Nearest Neighbor Techniques. HICSS 2012: 1060-1069 - 2011
- [j3]Dursun Delen, Madhav Erraguntla, Richard J. Mayer, Chang-Nien Wu:
Better management of blood supply-chain with GIS-based analytics. Ann. Oper. Res. 185(1): 181-193 (2011) - 2010
- [c14]Madhav Erraguntla, Satheesh Ramachandran, Chang-Nien Wu, Richard J. Mayer:
Avian Influenza Datamining Using Environment, Epidemiology, and Etiology Surveillance and Analysis Toolkit (E3SAT). HICSS 2010: 1-7
2000 – 2009
- 2007
- [c13]Richard J. Mayer, Madhav Erraguntla:
Medical Material Management Support Using Data Mining and Analytics. AMCIS 2007: 468 - [c12]Satheesh Ramachandran, Madhav Erraguntla, Richard J. Mayer, Perakath C. Benjamin:
Data Mining in Military Health Systems - Clinical and Administrative Applications. CASE 2007: 158-163 - 2006
- [c11]Michael K. Painter, Madhav Erraguntla, Gary L. Hogg Jr., Brian Beachkofski:
Using simulation, data mining, and knowledge discovery techniques for optimized aircraft engine fleet management. WSC 2006: 1253-1260 - 2005
- [c10]Perakath C. Benjamin, Satheesh Ramachandran, Madhav Erraguntla:
Towards a Method for Ontology Driven Systems Reengineering (ODSR). IC-AI 2005: 143-150 - 2002
- [c9]Satheesh Ramachandran, Madhav Erraguntla, Perakath C. Benjamin:
A Knowledge Based Framework for The Design of Soft-Computing Systems. Intelligent Information Processing 2002: 129-140 - [c8]Perakath C. Benjamin, Mike Graul, Madhav Erraguntla:
Methods and tools for aerospace operations modeling and simulation: Toolkit for Enabling Adaptive Modeling and Simulation (TEAMS). WSC 2002: 763-771
1990 – 1999
- 1999
- [c7]Dursun Delen, Perakath C. Benjamin, Madhav Erraguntla:
An integrated toolkit for enterprise modeling and analysis. WSC 1999: 289-297 - 1998
- [c6]Perakath C. Benjamin, Madhav Erraguntla, Richard J. Mayer, Michael K. Painter, Charles Marshall:
A Framework for Adaptive Process Modeling and Execution (FAME). WETICE 1998: 3-9 - [c5]Perakath C. Benjamin, Dursun Delen, Madhav Erraguntla:
An Introduction to Simulation Using ProSim for Business Process Simulation and Analysis. WSC 1998: 315-322 - [c4]Perakath C. Benjamin, Madhav Erraguntla, Dursun Delen, Richard J. Mayer:
Simulation Modeling at Multiple Levels of Abstraction. WSC 1998: 391-398 - [c3]Dursun Delen, Perakath C. Benjamin, Madhav Erraguntla:
Integrated Modeling and Analysis Generator Environment (IMAGE): A Decision Support Tool. WSC 1998: 1401-1408 - 1997
- [c2]Malay Dalal, Madhav Erraguntla, Perakath C. Benjamin:
An Introduction to Using ProSim for Business Process Simulation and Analysis. WSC 1997: 718-724 - 1995
- [j2]Perakath C. Benjamin, Madhav Erraguntla, Richard J. Mayer:
Using Simulation for Robust System Design. Simul. 65(2): 116-128 (1995) - 1994
- [j1]Richard J. Mayer, Madhav Erraguntla, Christopher Menzel, Jyh Chen Hwang:
Formal model of single agent planning situations. J. Syst. Integr. 4(3): 219-241 (1994) - [c1]Madhav Erraguntla, Perakath C. Benjamin, Richard J. Mayer:
An architecture of a knowledge-based simulation engine. WSC 1994: 673-680
Coauthor Index
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