White Paper
Building a “Wellness Index” Using Personal Sensors & 70 Weather Related Data Points
ThoughtFocus, a technology consulting firm, applied machine learning to identify high-accuracy models for industry-specific use cases. Its work leverages Artificial Intelligence in areas such as digital phenotyping, also known as personal sensing, which involves collecting and quantifying individual-level data from active user inputs and passive sensor sources like location or usage patterns. These signals are combined into measurable values, such as a wellness index, where individuals rate how they feel on a defined scale. The resulting data can be applied to domains like insurance, including indicators such as breathing difficulty and overall user-reported wellbeing.
