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February 10, 2022 – Bringing Proactive Healthcare Home with AI – Holly B. Jimison, Ph.D., FACM & Misha Pavel, Ph.D.

Our behaviors account for the most significant influence on overall health outcomes and healthcare costs, far outpacing genetic effects or access to medical care. And yet, many people have a difficult time improving their behaviors. As we move from an era of “reactive” medicine that is hospital and clinic-based toward more holistic and proactive care, we need new ways of helping people improve their behaviors and manage their health. This presentation will describe AI techniques for inferring individuals’ states in real-time from streaming sensor data and mobile interactions. Our health coaching infrastructure uses this framework for delivering tailored just-in-time motivational and feedbacks mobile messaging. This architecture incorporates computational models of user preferences, motivations, and barriers to change rooted in known principles of health behavior change. To reach our goal of helping users improve health behaviors, we use computational modeling, prediction, and optimization applicable to individuals in specific contexts and scenarios. This presentation will discuss examples of robust computational modeling and predicting individuals’ behaviors combining machine learning, hybrid dynamic systems, and statistical signal processing with psychological knowledge. We will illustrate how computational modeling can estimate cognitive functionality from unobtrusive observations of everyday behaviors combined with data from wearable sensors to optimize the interventions.

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Holly B. Jimison, Ph.D., FACMI, is the Director of the Consortium on Technology for Proactive Care at Northeastern University and on the faculty in both the College of Computer & Information Science and the College of Health Sciences. She leads a multidisciplinary, multi-institutional effort to facilitate research in the area of home monitoring of health behaviors, including helping researchers address the challenges of big data related to large amounts of complex and noisy streaming data from multiple sources used to infer clinically relevant health behaviors. Her current research projects are focused on technology approaches to support healthy aging. Dr. Jimison is a member of the American College of Medical Informatics and Associate Editor for the Engineering in Medicine & Biology Conference. She is currently serving as Visiting Professor at UC Davis, working on the Healthy Aging in a Digital World Initiative

Misha Pavel, Ph.D., holds a joint faculty appointment in Northeastern University’s Khoury College of Computer Sciences and Bouvé College of Health Sciences and visiting faculty at UC Davis. His background comprises electrical engineering, computer science, and experimental psychology. His research includes multi-scale dynamic computational modeling of behaviors and psychological states, with applications ranging from elder care to augmentation of human performance. Pavel uses these model-based approaches to develop algorithms transforming unobtrusive monitoring from smart homes and mobile devices to practical and actionable knowledge for diagnosis and intervention. Under the auspices of the Northeastern-based Consortium on Technology for Proactive Care, Pavel and his colleagues target technological innovations to support the development of economically feasible, proactive, distributed, and individual-centered healthcare. In addition, Pavel is investigating approaches to inferring and augmenting human cognition using computer games, EEG, gait characteristics, and transcranial electrical stimulation. Before his current positions, he was a program director at the National Science Foundation, faculty at NYU, OHSU, and Stanford University, and Member of Technical Staff at Bell Laboratories.