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Optimization and Machine Learning Frameworks for Complex Network Analysis
Networks are all around us, and they may be connections of tangible objects in the Euclidean space such as electric power grids, the Internet, highways systems, etc. Among the wide range of areas in the network analysis, finding critical component in the large scale complex networks is one of the most challenging but fascinating ...
Depression Management Using Electronic Health Record: Individual Progression Prediction
Mitigating depression has become a national health priority and is the most common mental illness seen in primary care. Due to the complex dynamics of individual's depression trajectory, how to predict the progression of an individual patient's depression has long been an open problem. In this thesis, by using the electronic ...
Exploring the Impact of Virtual Medicine on the Patient-Centered Medical Home
The Patient-Centered Medical Home (PCMH) is a health care delivery model where a patient has an ongoing relationship with a personal physician who provides comprehensive and appropriate health care. Enhanced health care accessibility is one of the desired characteristics in a PCMH, which supports patient access to health care ...
Assessing Cognitive Workload of In-Vehicle Voice Control Systems
In-Vehicle Information Systems (IVIS) are becoming more accessible to drivers and contain more complex communication features. Voice control systems (VCS's) promise to be less distracting than visual-manual interfaces, but they still impose cognitive workload as drivers divert attention to using the voice interface instead ...