Integrated Platform for Connecting Physiological Parameters Derived from Digital Health Data to Models of Mortality, Morbidity, Life Expectancy and Lifestyle Interventions

Embodiments include methods by which mathematical models are applied to data from at least two interrelated physiological parameters employed in parallel with data gathered from various sources to provide an end user (e.g., individual or group of individuals) or consented third party (e.g., insurer of the user) with an estimate of how the physiological parameters will change in the future and a number of years indicative of the terminal age and/or health and life expectancy of the user. Furthermore, utilizing the translation from a lifestyle intervention (e.g., cessation of smoking or commencement of an exercise program) to the physiological parameters from historical data (e.g., wearable data) may permit display of a lifestyle intervention pattern and a current and planned physiological trajectory. The output may be quantified translation from lifestyle intervention to real time health and life expectancy and may be calculated from past and present data and hypothetical planned interventions.