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Found 8 papers, 0 papers with code
Towards Integrative Multi-Modal Personal Health Navigation Systems: Framework and Application
In addition to describing the general framework, we test the PHN system in two experiments within the field of cardiology.
A Novel Epidemiological Approach to Geographically Mapping Population Dry Eye Disease in the United States through Google Trends
This study fills the spatiotemporal gaps in DED epidemiology by using Google Trends as a novel epidemiological tool for geographically mapping DED in relation to environmental risk factors.
Health State Estimation
This dissertation presents an approach to build a personal model and dynamically estimate the health state of an individual by fusing multi-modal data and domain knowledge.
Personalized Taste and Cuisine Preference Modeling via Images
Using the underlying connection between cuisines and their inherent tastes, we attempt to develop such a profile for an individual based solely on the images of his food.
Flavour Enhanced Food Recommendation
We propose a mechanism to use the features of flavour to enhance the quality of food recommendations.
A Navigational Approach to Health
Lifestyle and environment interacting with our biological machine are primarily responsible for shaping our health and wellbeing.
Human-Computer Interaction
Surface Type Estimation from GPS Tracked Bicycle Activities
Machine learning models such as support vector machines, K-nearest neighbors, and decision trees were used for the classification of the path.
Cross-Modal Health State Estimation
Individuals create and consume more diverse data about themselves today than any time in history.
