Abstract: Disclosed are methods comprising: receiving data representing the physical location, movement, social environment, emotional state and nutritional behavior; comparing this data and nutritional behaviors throughout the day to goals for achieving a balance of macronutrients (food groups) and micronutrients, represented by a Nutrition Score; determining the positive and negative impact of physical and social environment on nutritional behaviors and emotional state; targeting messages, cues, tips and coping tactics based on acquired parameters to help change the individuals response to the environment and other factors, improve mood, reduce anxiety and improve nutritional behavior; and allowing for real-time connectivity to a support system.

Abstract: A system and method provide nutrition assessments and tools for enabling users to achieve health-related goals based on specific health needs. The tools can include a nutrition assessment tool, a weight solution tool, a meal planning tool, and a meal tracking tool. The method includes receiving patient phenotype data. The phenotype data can include, but is not limited to, biometric data specific to the patient, medical claims data specific to the patient, organizational data specific to an organization to which the patient belongs, and behavioral data including dietary habits and nutritional history. One or more algorithms are executed on at least one processor of a computing apparatus to provide analyses of patient data in order. The results are output to a user in various web pages customized to provide features to the user.

Abstract: A system and method provide nutrition assessments and tools for enabling users to achieve health-related goals based on specific health needs. The tools can include a nutrition assessment tool, a weight solution tool, a meal planning tool, and a meal tracking tool. The method includes receiving patient phenotype data. The phenotype data can include, but is not limited to, biometric data specific to the patient, medical claims data specific to the patient, organizational data specific to an organization to which the patient belongs, and behavioral data including dietary habits and nutritional history. One or more algorithms are executed on at least one processor of a computing apparatus to provide analyses of patient data in order. The results are output to a user in various web pages customized to provide features to the user.

Abstract: A system and method determine and report a potential for development by a patient of disease and adverse health conditions. The method includes receiving patient phenotype data. The phenotype data can include, but is not limited to, biometric data specific to the patient, medical claims data specific to the patient, and organizational data specific to an organization to which the patient belongs. One or more predictive models are generated using one or more algorithms executing on at least one processor of a computing apparatus. The one or more predictive models determine and indicate the potential for development by the patient of disease and adverse health conditions, and output the potential to a user.