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Cindy Marling
Cindy Marling
Associate Professor Emerita of Computer Science, Ohio University
Verified email at ohio.edu - Homepage
Title
Cited by
Cited by
Year
Case-based reasoning in the health sciences: What's next?
I Bichindaritz, C Marling
Artificial intelligence in medicine 36 (2), 127-135, 2006
2532006
A machine learning approach to predicting blood glucose levels for diabetes management
K Plis, R Bunescu, C Marling, J Shubrook, F Schwartz
Workshops at the Twenty-Eighth AAAI conference on artificial intelligence, 2014
1582014
The OhioT1DM dataset for blood glucose level prediction: Update 2020
C Marling, R Bunescu
CEUR workshop proceedings 2675, 71, 2020
1402020
Case-based reasoning in the care of Alzheimer’s disease patients
C Marling, P Whitehouse
International Conference on Case-Based Reasoning, 702-715, 2001
1342001
Hypoglycemia in type 2 diabetes-more common than you think: a continuous glucose monitoring study
RR Gehlaut, GY Dogbey, FL Schwartz, CR Marling, JH Shubrook
Journal of diabetes science and technology 9 (5), 999-1005, 2015
1292015
Case-based reasoning integrations
C Marling, M Sqalli, E Rissland, H Muņoz-Avila, D Aha
AI magazine 23 (1), 69-69, 2002
1022002
Integrating case‐based and rule‐based reasoning to meet multiple design constraints
CR Marling, GJ Petot, LS Sterling
Computational intelligence 15 (3), 308-332, 1999
1001999
Blood glucose level prediction using physiological models and support vector regression
R Bunescu, N Struble, C Marling, J Shubrook, F Schwartz
2013 12th International Conference on Machine Learning and Applications 1 …, 2013
952013
Characterizing blood glucose variability using new metrics with continuous glucose monitoring data.
CR Marling, JH Shubrook, SJ Vernier, MT Wiley, FL Schwartz
Journal of diabetes science and technology 5 (4), 871, 2011
852011
Case-based decision support for patients with type 1 diabetes on insulin pump therapy
C Marling, J Shubrook, F Schwartz
European Conference on Case-Based Reasoning, 325-339, 2008
702008
Using LSTMs to learn physiological models of blood glucose behavior
S Mirshekarian, R Bunescu, C Marling, F Schwartz
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
632017
An artificial intelligence system for computer-assisted menu planning
GJ Petot, C Marling, L Sterling
Journal of the American Dietetic Association 98 (9), 1009-1014, 1998
611998
Integrations with case-based reasoning
C Marling, E Rissland, A Aamodt
The Knowledge Engineering Review 20 (3), 241-245, 2005
522005
Case-based reasoning for planning and world modeling in the robocup small size league
C Marling, M Tomko, M Gillen, D Alexander, D Chelberg
IJCAI Workshop on issues in designing physical agents for dynamic real-time …, 2003
522003
Synergistic case-based reasoning in medical domains
C Marling, S Montani, I Bichindaritz, P Funk
Expert systems with applications 41 (2), 249-259, 2014
512014
Emerging Applications for Intelligent Diabetes Management
C Marling, M Wiley, R Bunescu, J Shubrook, F Schwartz
AI Magazine 33 (2), 67-78, 2012
392012
Toward case-based reasoning for diabetes management: A preliminary clinical study and decision support system prototype
C Marling, J Shubrook, F Schwartz
Computational intelligence 25 (3), 165-179, 2009
392009
Use of case-based reasoning to enhance intensive management of patients on insulin pump therapy
FL Schwartz, JH Shubrook, CR Marling
Journal of Diabetes Science and Technology 2 (4), 603-611, 2008
342008
Prescribing exercise regimens for cardiac and pulmonary disease patients with CBR
K Evans-Romaine, C Marling
Workshop on CBR in the health sciences at 5th international conference on …, 2003
342003
LSTMs and neural attention models for blood glucose prediction: Comparative experiments on real and synthetic data
S Mirshekarian, H Shen, R Bunescu, C Marling
2019 41st annual international conference of the IEEE engineering in …, 2019
332019
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