Personal health operating system

Abstract

A method for facilitating a personal health operating system (PHOS) is provided in one example embodiment and includes extracting data into a mobile device that includes a portable health virtual machine executing the PHOS using a processor couples to a memory element, generating an N-gram dataset comprising data indicative and predictive of fitness of an individual, generating, in the PHOS, an N-gram from the N-gram dataset from the data according to a data structure indicative and predictive of fitness of an individual, the fitness including a numerical index representing a composite effect of various health conditions of the individual including interdependencies of the health conditions, generating an N-gram based on the N-gram dataset and calculating the individual's fitness using the N-gram.

1 - 20 . (canceled) 
     
     
         21 . A method, comprising:
 generating, in a system comprising at least one processor and a memory, a dataset according to a data structure indicative of a fitness of an individual, wherein the fitness represents a composite effect of various health conditions of the individual including interdependencies of the health conditions, the various health conditions including a disease, and the dataset comprising genomic data of the individual;   generating tokens based on the dataset, at least one of the tokens having a value from a health record of the individual, the value being indicative of a medication interaction propensity;   calculating the individual's fitness using the tokens; and   providing a recommendation based on the individual's fitness.   
     
     
         22 . The method of  claim 21 , further comprising exposing the tokens to an application executing in the system. 
     
     
         23 . The method of  claim 22 , wherein the tokens are exposed through an application programming interface (API). 
     
     
         24 . The method of  claim 23 , wherein the application interacts through the API to obtain analysis results on the dataset using the tokens. 
     
     
         25 . The method of  claim 24 , further comprising generating an alert if the analysis results indicate a fitness change exceeding a preconfigured threshold. 
     
     
         26 . The method of  claim 21 , further comprising analyzing the dataset using the tokens for variation in fitness over time. 
     
     
         27 . The method of  claim 21 , further comprising extracting data into the system from a sensor. 
     
     
         28 . The method of  claim 21 , further comprising providing a recommendation based on the fitness calculated from the tokens. 
     
     
         29 . The method of  claim 21 , further comprising initiating a software action based on the fitness calculated from the tokens. 
     
     
         30 . The method of  claim 21 , wherein the tokens include an N-gram. 
     
     
         31 . The method of  claim 21 , wherein the dataset comprises one or more of: a diagnosis event, a testing event, an imaging event, an eating event, and a social event. 
     
     
         32 . The method of  claim 21 , wherein the at least one of the tokens comprises an attribute-value pair. 
     
     
         33 . Non-transitory computer readable media that includes instructions for execution by at least one processor, and when executed by the at least one processor is operable to perform operations comprising:
 generating, in a system comprising at least one processor and a memory, a dataset according to a data structure indicative of a fitness of an individual, wherein the fitness represents a composite effect of various health conditions of the individual including interdependencies of the health conditions, the various health conditions including a disease, and the dataset comprising genomic data of the individual;   generating tokens based on the dataset, at least one of the tokens having a value from a health record of the individual, the value being indicative of a medication interaction propensity;   calculating the individual's fitness using the tokens; and   providing a recommendation based on the individual's fitness.   
     
     
         34 . The media of  claim 33 , wherein the operations further comprise exposing the tokens to an application executing in the system. 
     
     
         35 . The media of  claim 34 , wherein the tokens are exposed through an API. 
     
     
         36 . The media of  claim 35 , wherein the application interacts through the API to obtain analysis results on the dataset using the tokens. 
     
     
         37 . media of  claim 33 , wherein the dataset comprises one or more of: a diagnosis event, a testing event, an imaging event, an eating event, or a social event. 
     
     
         38 . The media of  claim 33 , wherein the at least one of the tokens comprises an attribute-value pair. 
     
     
         39 . A system comprising:
 a memory element to store data;   at least one processor, coupled with the memory element, to execute instructions associated with the data, wherein the processor and the memory element cooperate such that the system is configured for:   generating, in a system comprising at least one processor and a memory, a dataset according to a data structure indicative of a fitness of an individual, wherein the fitness represents a composite effect of various health conditions of the individual including interdependencies of the health conditions, the various health conditions including a disease, and the dataset comprising genomic data of the individual;   generating tokens based on the dataset, at least one of the tokens having a value from a health record of the individual, the value being indicative of a medication interaction propensity;   calculating the individual's fitness using the tokens; and   providing a recommendation based on the individual's fitness.   
     
     
         40 . The system of  claim 39 , further comprising an application executing in the system wherein the system is further configured for exposing the tokens to the application. 
     
     
         41 . The mobile device of  claim 40 , wherein the tokens are exposed through an API. 
     
     
         42 . The mobile device of  claim 41 , wherein the application interacts through the API to obtain analysis results on the dataset using the tokens. 
     
     
         43 . The mobile device of  claim 39 , wherein the dataset comprises one or more of: a diagnosis event, a testing event, an imaging event, an eating event, or a social event. 
     
     
         44 . The mobile device of  claim 39 , wherein the at least one of the tokens comprises an attribute-value pair.