Intelligent Automation, Inc.

Alexander Grushin

Ziad El-Jamous

Yalin Evren Sagduyu

Yi Shi

Jason Li

Jyotirmaya Nanda

Lisa Holt

Goutam Satapathy

Thomas Wavering

Computer and mobile device-based systems and computer-implemented methods are described for automated medication adherence improvement for patients in medication-assisted treatments. The computer and mobile device-based systems includes modules and components to help patients in identifying prescribed medications, logging medication events, and to provide patients with personalized and targeted adherence enhancing interventions consisting of short questions, tips, advices, suggestions, strategies etc. by applying data mining and statistical analysis techniques on the individual and population-level data collected primarily from the same system.

System, apparatus and method for automated medication adherence improvement

System and means generates synthetic forms of social media data such as data from microblogging services (e.g., Twitter) and social networking services (e.g., Facebook). This system and means jointly generate interaction graph structures and text features similar to input social media data. First, an interaction graph is generated by mapping social network interactions in input (real) social media data to graph structures. This interaction graph is fitted to a social network model (or a composite model) by minimizing the distance between the input and the synthetic interaction graphs (of potentially different sizes). The distance is measured statistically or based on the performance of social media analytics. Various patterns (such as anomalies), interaction types and temporal dynamics are generated synthetically. Second, text features are extracted from input social media data with topic modeling and statistical analysis of word tuple distributions. Based on these features, synthetic social media text is generated. Third, synthetic graph structures and text features are combined to generate the synthetic social media data. The system is particularly useful in generating data to be used for developing and testing new social media analytics or for generating or analyzing social bot network behavior and campaigns in social media, and for sharing test data with others without rate and privacy concerns.

System and means for generating synthetic social media data

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Rockville, MD, United States of America

Alexander Grushin