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Full-Text Articles in Medicine and Health Sciences
Averting Hiv Infections In New York City: A Modeling Approach Estimating The Future Impact Of Additional Behavioral And Biomedical Hiv Prevention Strategies, Jason Kessler, Julie E. Myers, Kimberly A. Nucifora, Nana Mensah, Alexis Kowalski, Monica Sweeney, Christopher Toohey, Amin Khademi, Colin Shepard, Blayne Cutler, R. Scott Braithwaite
Averting Hiv Infections In New York City: A Modeling Approach Estimating The Future Impact Of Additional Behavioral And Biomedical Hiv Prevention Strategies, Jason Kessler, Julie E. Myers, Kimberly A. Nucifora, Nana Mensah, Alexis Kowalski, Monica Sweeney, Christopher Toohey, Amin Khademi, Colin Shepard, Blayne Cutler, R. Scott Braithwaite
Amin Khademi
Background: New York City (NYC) remains an epicenter of the HIV epidemic in the United States. Given the variety of evidence-based HIV prevention strategies available and the significant resources required to implement each of them, comparative studies are needed to identify how to maximize the number of HIV cases prevented most economically.
Methods: A new model of HIV disease transmission was developed integrating information from a previously validated micro-simulation HIV disease progression model. Specification and parameterization of the model and its inputs, including the intervention portfolio, intervention effects and costs were conducted through a collaborative process between the academic modeling …
A Data-Driven Behavior Modeling And Analysis Framework For Diabetic Patients On Insulin Pumps, Sanjian Chen, Lu Feng, Michael Rickels, Amy Peleckis, Oleg Sokolsky, Insup Lee
A Data-Driven Behavior Modeling And Analysis Framework For Diabetic Patients On Insulin Pumps, Sanjian Chen, Lu Feng, Michael Rickels, Amy Peleckis, Oleg Sokolsky, Insup Lee
Oleg Sokolsky
About 30%-40% of Type 1 Diabetes (T1D) patients in the United States use insulin pumps. Current insulin infusion systems require users to manually input meal carb count and approve or modify the system-suggested meal insulin dose. Users can give correction insulin boluses at any time. Since meal carbohydrates and insulin are the two main driving forces of the glucose physiology, the user-specific eating and pump-using behavior has a great impact on the quality of glycemic control.
In this paper, we propose an “Eat, Trust, and Correct” (ETC) framework to model the T1D insulin pump users’ behavior. We use machine learning …