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Cynthia Marling

Associate Professor
Biomedical Engineering,Electrical Engineering and Computer Science
STKR 321D
marling@ohio.edu
Phone: 593-1246

http://oucsace.cs.ohiou.edu/~marling/

Cindy Marling is an associate professor in the School of Electrical Engineering and Computer Science, adjunct associate professor in the Department of Specialty Medicine (OU-HCOM), and director of the SmartHealth Lab. She is affiliated with the Biomedical Engineering and Clinical Informatics programs and is a member of the Diabetes Institute at Ohio University. Her current research focus is artificial intelligence for diabetes management.


Research Interests: Artificial intelligence, intelligent decision support, Case-Based Reasoning, Clinical Informatics

All Degrees Earned: Ph.D., Computer Science, Case Western Reserve University, 1996

Publications:

Marling, C., Wiley, M., Bunescu, R., Shubrook, J. and F. Schwartz (2012). Emerging Applications for Intelligent Diabetes Management, AI Magazine, 33(2):67-78.

Marling, C. R., Shubrook, J. H., Vernier, S. J., Wiley, M. T. and F. L. Schwartz (2011). Characterizing Blood Glucose Variability Using New Metrics with Continuous Glucose Monitoring Data, Journal of Diabetes Science and Technology, 5(4):871-878.

Marling, C., Wiley, M., Cooper, T., Bunescu, R., Shubrook, J. and F. Schwartz (2011). The 4 Diabetes Support System: A Case Study in CBR Research and Development, in Case-Based Reasoning Research and Development: 19th International Conference on Case-Based Reasoning, ICCBR 2011 Proceedings, Ram, A. and N. Wiratunga, eds., Springer, Berlin.

Wiley, M., Bunescu, R., Marling, C., Shubrook, J. and F. Schwartz (2011). Automatic Detection of Excessive Glycemic Variability for Diabetes Management, in Proceedings of the Tenth International Conference on Machine Learning and Applications, IEEE Press, New York, New York.

Marling, C., Shubrook, J. and F. Schwartz (2009). Toward Case-Based Reasoning for Diabetes Management: A Preliminary Clinical Study and Decision Support System Prototype, Computational Intelligence, 25(3):165.179.

Journal Article, Academic Journal (20)

  • Schwartz, F., Marling, C. Glycemic Variability in Type 1 Diabetes - Does It Matter?. 1. US Endocrinology; 10: 20-24.
  • Bichindaritz, I., Marling, C., Montani, S. Preface for the Special Section on Case-Based Reasoning in the Health Sciences. 2. Expert Systems with Applications; 41: 247-248.
  • Marling, C., Montani, S., Bichindaritz, I., Funk, P. Synergistic Case-Based Reasoning in Medical Domains. 2. Expert Systems with Applications; 41: 249-259.
  • Marling, C., Struble, N., Bunescu, R., Shubrook, J., Schwartz, F. A Consensus Perceived Glycemic Variability Metric. 4. Journal of Diabetes Science and Technology; 7: 871-879.
  • Schwartz, F., Marling, C. Blood Glucose Monitoring: Use of Automated Bolus Calculators. 2. European Endocrinology; 9: 92-95.
  • Schwartz, F., Marling, C., Shubrook, J. Automated Glycemic Pattern Analysis: Overcoming Clinical Inertia. 1. Journal of Diabetes Science and Technology; 7: 167-169.
  • Marling, C., Bunescu, R., Shubrook, J., Schwartz, F. Emerging Applications for Intelligent Diabetes Management. 2. AI Magazine; 33: 67-78.
  • Schwartz, F., Guo, A., Marling, C., Shubrook, J. Analysis of Use of an Automated Bolus Calculator Reduces Fear of Hypoglycemia and Improves Confidence in Dosage Accuracy in Type 1 Diabetes Mellitus Patients Treated with Multiple Daily Insulin Injections. 1. Journal of Diabetes Science and Technology; 6: 150-152.
  • Marling, C., Shubrook, J., Vernier, S., Wiley, M., Schwartz, F. Characterizing Blood Glucose Variability Using New Metrics with Continuous Glucose Monitoring Data. 4. Journal of Diabetes Science and Technology; 5: 871-878.
  • Schwartz, F., Vernier, S., Shubrook, J., Marling, C. Evaluating the Automated Blood Glucose Pattern Detection and Case-Retrieval Modules of the 4 Diabetes Support System. 4(6). Journal of Diabetes Science and Technology; 1563-1569.
  • Marling, C., Shubrook, J., Schwartz, F. Toward Case-Based Reasoning for Diabetes Management: A Preliminary Clinical Study and Decision Support System Prototype. 3. Computational Intelligence; 25: 165-179.
  • Schwartz, F., Shubrook, J., Marling, C. Use of Case-Based Reasoning to Enhance Intensive Management of Patients on Insulin Pump Therapy. 4. Journal of Diabetes Science and Technology; 2: 603-611.
  • Bichindaritz, I., Marling, C. Case-Based Reasoning in the Health Sciences: What’s Next?. Artificial Intelligence in Medicine; 26: 127-135.
  • Bichindaritz, I., Marling, C. Introduction to the Special Issue on Case-Based Reasoning in the Health Sciences. 3-4. Computational Intelligence; 22: 143-147.
  • Marling, C., Rissland, E., Aamodt, A. Integrations with Case-Based Reasoning. 3. The Knowledge Engineering Review; 20: 241-245.
  • Aha, D., Marling, C., Watson, I. The Case-Based Reasoning Commentaries: Introduction. 3. The Knowledge Engineering Review; 20: 201-202.
  • Marling, C., Sqalli, M., Rissland, E., Munoz-Avila, H., Aha, D. Case-Based Reasoning Integrations. 1. AI Magazine; 23: 69-86.
  • Marling, C., Petot, G., Sterling, L. Integrating Case-Based and Rule-Based Reasoning to Meet Multiple Design Constraints. 3. Computational Intelligence; 15: 308-332.
  • Petot, G., Marling, C., Sterling, L. An Artificial Intelligence System for Computer-Assisted Menu Planning. 9. Journal of the American Dietetic Association; 98: 1009-1014.
  • Sterling, L., Petot, G., Marling, C., Kovacic, K., Ernst, G. The Role of Common Sense Knowledge in Menu Planning. 3. Expert Systems with Applications; 11: 301-308.

Book, Chapter in Scholarly Book (3)

  • Bichindaritz, I., Marling, C. "Case-Based Reasoning in the Health Sciences: Foundations and Research Directions," Chapter 7 in Computational Intelligence in Healthcare 4: Advanced Methodologies . Berlin: Springer.
  • Marling, C. "Intelligent System Technology for Enhancing the Quality of Life", Chapter 10 in Gerontechnology: Growing Old in a Technological Society. Springfield, Illinois: CC Thomas.
  • Whitehouse, P., Marling, C. "Human Enhancement Uses of Biotechnology, Ethics, Cognitive Enhancement", in Encyclopedia of Ethical, Legal, and Policy Issues in Biotechnology. New York, New York: Wiley.

Book, Scholarly (1)

  • Marling, C. Workshop Proceedings of the Eighteenth International Confrence on Case-Based Reasoning. Alessandria: University of Piemonte Orientale "A. Avogadro"; 228.

Journal Article, Professional Journal (1)

  • Whitehouse, P., Marling, C., Harvey, R. Can a Computer be a Caregiver?. 2. Geriaction; 21: 12-17.

Conference Proceeding (27)

  • Plis, K., Bunescu, R., Marling, C., Shubrook, J., Schwartz, F. A Machine Learning Approach to Predicting Blood Glucose Levels for Diabetes Management . Palo Alto, CA: AAAI Press; 35-39.
  • Bunescu, R., Struble, N., Marling, C., Shubrook, J., Schwartz, F. Blood Glucose Level Prediction using Physiological Models and Support Vector Regression. International Conference on Machine Learning and Applications (ICMLA) 2013; http://www.icmla-conference.org/icmla13/.
  • Marling, C., Bunescu, R., Shubrook, J., Schwartz, F. System Overview: The 4 Diabetes Support System. Lyon: Workshop Proceedings of the Twentieth International Conference on Case-Based Reasoning; 81-86.
  • Marling, C., Wiley, M., Cooper, T., Bunescu, R., Shubrook, J., Schwartz, F. "The 4 Diabetes Support System: A Case Study in CBR Research and Development," in Case-Based Reasoning Research and Development: 19th International Conference on Case-Based Reasoning, ICCBR 2011 Proceedings. Berlin: Springer.
  • Wiley, M., Bunescu, R., Marling, C., Shubrook, J., Schwartz, F. Automatic Detection of Excessive Glycemic Variability for Diabetes Management. Honolulu, Hawaii: The 10th International Conference on Machine Learning Applications; http://www.icmla-conference.org/icmla11/index.htm.
  • Marling, C., Wiley, M., Bunescu, R., Shubrook, J., Schwartz, F. Emerging Applications for Intelligent Diabetes Management. San Francisco, CA: The 23rd Annual Conference on Innovative Applications of Artificial Intelligence (IAAI); 1668-1673. http://www.aaai.org/ocs/index.php/IAAI/IAAI-11.
  • Marling, C., Vernier, S., Cooper, T., Shubrook, J., Schwartz, F. "Towards Evaluation of a Medical Case-Based Decision Support System," in Workshop Proceedings of the Eighth International Conference on Case-Based Reasoning. Tacoma, Washington: University of Washington.
  • Marling, C., Chelberg, D. "RoboCup for the Mechanically, Athletically and Culturally Challenged," in What Went Wrong and Why: Lessons from AI Research and Applications: Papers from the 2008 AAAI Workshop. Menlo Park, California: AAAI Press.
  • Marling, C., Shubrook, J., Schwartz, F. Case-Based Decision Support for Patients with Type 1 Diabetes on Insulin Pump Therapy. Springer, Berlin: Advances in Case-Based Reasoning: 9th European Conference, ECCBR 2008 Proceedings.
  • Ganduri, C., Sormaz, D., Marling, C. Job Shop Scheduling using Derivational Case-based Reasoning by Priority Assignment. Skovde, Sweden: The 18th International Cnoference on Flexible Automation & Intelligent Manufacturing.
  • Marling, C., Shubrook, J., Schwartz, F. Towards Case-Based Reasoning for Diabetes Management. Belfast, Northern Ireland: Workshop Proceedings of the Seventh International Conference on Case-Based Reasoning.
  • Marling, C., Tomko, M., Gillen, M., Alexander, D., Chelberg, D. "Case-Based Reasoning for Planning and World Modeling in the RoboCup Small Size League," in Proceedings of the IJCAI-03 Workshop on Issues in Designing Physical Agents for Dynamic Real-Time Environments: World Modeling, Planning, Learning and Communicating, International Joint Conference on Artificial Intelligence (IJCAI-03). Acapulco, Mexico: IJCAI.
  • Whitehouse, P., Marling, C., Harvey, R. "Can a Computer be a Caregiver?" in Automation as Caregiver: The Role of Intelligent Technology in Elder Care: Papers from the AAAI Workshop. Menlo Park, California: AAAI Press.
  • Lakshmikumar, D., Chelberg, D., Gillen, M., Marling, C., Tomko, M., Welch, L. A Hybrid, Hierarchical Schema-Based Architecture for Distributed Autonomous Agents. The American Association for Artificial Intelligence (AAAI) Spring Symposium on Intelligent Embedded and Distributed Systems.
  • Marling, C., Whitehouse, P. Case-Based Reasoning in the Care of Alzheimer’s Disease Patients. Springer, Berlin: Case-Based Reasoning Research and Development: 4th International Conference on Case-Based Reasoning, ICCBR 2001 Proceedings.
  • Jain, A., Marling, C. Case-Based Tool for Treatment of Behavioral Problems. Athens, Ohio: Proceedings of the 33rd Southeastern Symposium on System Theory.
  • Marling, C., Whitehouse, P. The Auguste Project: Decision Support for Patient Care. Bangor, Wales: Proceedings of the ICSC-NAISO International Congress on Computational Intelligence: Methods and Applications.
  • Chelberg, D., Welch, L., Marling, C. A Dynamic, Real-Time Testbed for Resource Management Technology. 10th HETEROGENEOUS COMPUTING WORKSHOP (HCW 2001).
  • Marling, C., Whitehouse, P., Floritto, P., Bendis, J. Knowledge Sharing and Case-Based Reasoning in Geriatric Care. Menlo Park, California: Exploring Synergies of Knowledge Management and Case-Based Reasoning: Papers from the AAAI 1999 Workshop, AAAI Press.
  • Marling, C., Petot, G., Sterling, L. A CBR/RBR Hybrid for Designing Nutritional Menus. Menlo Park, California: Multimodal Reasoning: Papers from the 1998 AAAI Spring Symposium, AAAI Press.
  • Marling, C., Petot, G., Sterling, L. Integrating CBR and RBR for Nutritional Menu Design. Menlo Park, California: Case-Based Reasoning Integrations: Papers from the AAAI 1998 Workshop, AAAI Press.
  • Marling, C., Sterling, L. Designing Nutritional Menus Using Case-Based and Rule-Based Reasoning. Deventer, the Netherlands: Artificial Intelligence in Design ’96, Kluwer Academic Publishers.
  • Marling, C., Petot, G., Sterling, L. Planning Nutritional Menus Using Case-Based Reasoning. Menlo Park, California: Working Notes of the AAAI Spring Symposium on Artificial Intelligence in Medicine, AAAI Press.
  • Marling, C., Feliciano-Mu˜niz, I. The Brewmaster’s Expert System. Bridgeport, Connecticut: Proceedings of the Twelfth GE Software Engineering Conference.
  • Marling, C., Moyer, D. A Pragmatic Approach to Knowledge Engineering. Daytona Beach, Florida: Proceedings of the Tenth GE Software Engineering Conference.
  • Gall, T., Marling, C., Moyer, D., Wu, C., Daniel, K. Hypertext/Expert System for Machine Diagnostics and Mechanic Training. New York, New York: Computers in Engineering 1988, The American Society of Mechanical Engineers.
  • Marling, C., Guo, T. User Interface Design of an Industrial Expert System. Daytona Beach, Florida: Proceedings of the Eighth GE Software Engineering Conference.

Other (8)

  • Marling, C., Struble, N., Bunescu, R., Shubrook, J., Schwartz, F. A Consensus Perceived Glycemic Variability Metric.
  • Marling, C., Wiley, M., Bunescu, R., Shubrook, J., Schwartz, F. Automated Screen for Excessive Glycemic Variability Using CGM Data. Journal of Diabetes Science and Technology, 6(2):A99.
  • Marling, C., Struble, N., Bunescu, R., Shubrook, J., Schwartz, F. A Consensus Perceived Glycemic Variability Metric. Bethesda, Maryland: Diabetes Technology Meeting.
  • Marling, C., Shubrook, J., Vernier, S., Wiley, M., Cooper, T., Schwartz, F. New Metrics for Glucose Variability Using Continuous Glucose Monitoring Data. Journal of Diabetes Science and Technology, 5(2):A98.
  • Marling, C. Evaluating the Automated Detection of Blood Glucose Control Problems. Journal of Diabetes Science and Technology, 4(2):A103.
  • Marling, C., Shubrook, J., Flowers, E., Jones, T., Walker, D., Schwartz, F. Intelligent Decision Support System for Diabetes Management. Journal of Diabetes Science and Technology, 2(2):A105.
  • Marling, C., Shubrook, J., Miller, W., Maimone, A., Schwartz, F. Intelligent Decision Support Software for Type 1 Diabetics on Insulin Pump Therapy. American Diabetes Association 67th Scientific Abstracts Book, June supplement to Diabetes.
  • Whitehouse, P., Wadsworth, N., Fioritto, P., Bendis, J., Marling, C. Technology Support for Geriatric Interdisciplinary Health Care. Louisville, Kentucky: 21st Annual Interdisciplinary Health Care Team Conference.

Patents

  • Marling, C., Schwartz, F., Bunescu, R., Shubrook, J. Disclosure: Automated Detection of Glycemic Variability in Patients with Diabetes Mellitus via a Perceived Variability Metric Built with Naïve Bayes (NB), Multilayer Perceptron (MP), and Support Vector Machine (SVM) Models Used as an Indicator of Risk for Long-Term Complications .
  • Marling, C., Bunescu, R., Schwartz, F. Disclosure: Machine Learning (ML) Models for Predicting Blood Glucose Levels in T1DM Patients using Insulin Pumps with Continuous Glucose Monitoring Systems (CGMS), with Applications in the Prevention of Hypo/Hyperglycemia Events.