Food and digestion correlative tracking

Abstract

Embodiments of the invention include methods and systems for correlating relationships between foods and symptoms such as gastrointestinal manifestations. Users can provide information regarding food intake and/or symptoms through any number of devices. The food and/or symptoms can be analyzed to pinpoint foods that are highly correlated with health symptoms, such as, digestive problems. Removal of such foods from the user's diet can then be suggested.

1 . A method comprising:
 receiving a plurality of indications from a user specifying ingestion of particular foods along with the time the foods were ingested;   recording the particular food in a database with the time the food was ingested;   receiving an indication from a user specifying a symptom along with the time the symptom occurred;   recording the symptom in the database with the time the symptom occurred; and   analyzing the database to determine whether any of the foods are highly correlated with the occurrence of the symptom.   
     
     
         2 . The method according to  claim 1 , wherein the indications received from the user includes the quantity of food ingested. 
     
     
         3 . The method according to  claim 1 , wherein the indication received from the user specifying a symptom includes descriptive details of the symptom. 
     
     
         4 . The method according to  claim 1 , wherein the analyzing further comprises determining whether any of the foods ingested within zero to seventy-two hours prior to the symptom are highly correlated with the symptom. 
     
     
         5 . The method according to  claim 1 , wherein the analyzing further comprises determining whether any of the foods ingested within zero to seventy-two hours prior to the symptom are known to be highly correlated with food allergies. 
     
     
         6 . The method according to  claim 1 , wherein the analyzing further comprises flagging foods ingested within zero to seventy-two hours prior to the symptom. 
     
     
         7 . The method according to  claim 1 , further comprising:
 receiving an indication from a user specifying a second symptom along with the time the second symptom occurred;   recording the second symptom in the database with the time the second symptom occurred; and   analyzing the database to determine whether any of the foods are highly correlated with the occurrence of the second symptom.   
     
     
         8 . The method according to  claim 7 , further comprising analyzing the first symptom and the second symptom to determine whether the second symptom is related to the first symptom. 
     
     
         9 . The method according to  claim 1 , further comprising:
 receiving an indication from a user specifying a plurality of symptoms along with the time each symptom occurred;   recording the plurality of symptoms in the database with the time each symptom occurred; and   analyzing the database to determine whether any of the foods in the database are highly correlated with the occurrence of any of the symptoms in the database.   
     
     
         10 . A computer system comprising:
 a processor;   a database;   a network interface; and   a non-transitory computer-readable medium embodying program components that configure the computing system to perform steps comprising:
 receiving a plurality of indications from a user through the network interface specifying ingestion of particular foods along with the time the foods were ingested; 
 recording the particular food in the database with the time the food was ingested; 
 receiving an indication from a user through the network interface specifying a symptom along with the time the symptom occurred; 
 recording the symptom in the database with the time the symptom occurred; and 
 analyzing the database to determine whether any of the foods are highly correlated with the occurrence of the symptom. 
   
     
     
         11 . The computer system according to  claim 10 , wherein the analyzing further comprises determining whether any of the foods ingested within zero to seventy-two hours prior to the symptom are highly correlated with the symptom. 
     
     
         12 . The computer system according to  claim 10 , wherein the analyzing further comprises determining whether any of the foods ingested within zero to seventy-two hours prior to the symptom are known to be highly correlated with food allergies. 
     
     
         13 . The computer system according to  claim 10 , wherein the analyzing further comprises flagging foods ingested within zero to seventy-two hours prior to the symptom. 
     
     
         14 . The computer system according to  claim 10 , wherein the non-transitory computer-readable medium embodying program components further configure the computing system to perform the steps comprising:
 receiving an indication from a user specifying a second symptom along with the time the second symptom occurred;   recording the second symptom in the database with the time the second symptom occurred; and   analyzing the database to determine whether any of the foods are highly correlated with the occurrence of the second symptom.   
     
     
         15 . The computer system according to  claim 14 , further comprising analyzing the first symptom and the second symptom to determine whether the second symptom is related to the first symptom. 
     
     
         16 . The computer system according to  claim 10 , wherein the non-transitory computer-readable medium embodying program components further configure the computing system to perform the steps comprising:
 receiving an indication from a user specifying a plurality of symptoms along with the time each symptom occurred;   recording the plurality of symptoms in the database with the time each symptom occurred; and   analyzing the database to determine whether any of the foods in the database are highly correlated with the occurrence of any of the symptoms in the database.   
     
     
         17 . A computer program product comprising a non-transitory computer-readable medium embodying code executable by a computing system, the code comprising:
 providing a user interface listing a plurality of foods;   receiving an indication from the user through the user interface specifying a particular food listed in the listing and indicating that the food was ingested by the user;   providing a user interface listing a plurality of symptoms; and   receiving an indication from the user through the user interface specifying a particular symptom listed in the listing as affecting the user.   
     
     
         18 . The computer program product set forth in  claim 17 , wherein the code further comprises:
 sending the indication specifying the particular food through a network to a server; and   sending the indication specifying the particular symptom through a network to the server.   
     
     
         19 . The computer program product set forth in  claim 17 , wherein the code further comprises:
 receiving an indication from a server through the network interface recommending removal of a particular food from the user's diet; and   providing a user interface displaying the a recommendation to remove the particular food from the user's diet.   
     
     
         20 . The computer program product set forth in  claim 17 , wherein the code further comprises:
 receiving an indication from the user through the user interface specifying a second food listed in the listing and indicating that the second food was ingested by the user;   storing the indication specifying the particular food in a database;   storing the indication specifying the second food in a database;   storing the indication specifying the particular symptom in a database; and   analyzing the database to determine whether the particular food or the second food are highly correlated with the occurrence of the particular symptom.   
     
     
         21 - 25 . (canceled)