Abstract: The disclosed systems and methods include displaying disease trigger icons within a disease trigger map in a GUI, where the disease trigger map corresponds to a particular disease symptom, and where the position and size of a particular trigger icon within the trigger map based one or more of (i) the degree or strength of a statistical association between the trigger icon's corresponding disease trigger and the disease symptom, and (ii) a cumulative frequency and/or amount of exposure to the trigger icon's corresponding disease trigger. Some embodiments also include displaying a patient population disease trigger map one or more relationships between (i) one or more disease triggers and (ii) one or more patients of the patient population. Some embodiments may further include facilitating communication and/or disease trigger information sharing among patients.

Abstract: Example embodiments disclosed herein relate to methods and systems for determining whether particular actions affect or influence medical symptoms of patients. In one example, a plurality of datasets from a corresponding plurality of patients is received, where each patient has a corresponding disease. An individual dataset for an individual patient may include information about at least one disease symptom of the patient and at least one action of the patient. After the datasets are received from the patients, the datasets are stored in a database. Using the datasets stored in the database, a correlation between one or more actions and one or more disease symptoms may be determined based on a statistical analysis of the actions and symptoms stored in the database. The correlation between the one or more actions and the one or more disease symptoms may also be stored in the database.

Abstract: The disclosed systems and methods include displaying disease trigger icons within a disease trigger map in a GUI, where the disease trigger map corresponds to a particular disease symptom, and where the position and size of a particular trigger icon within the trigger map based one or more of (i) the degree or strength of a statistical association between the trigger icon's corresponding disease trigger and the disease symptom, and (ii) a cumulative frequency and/or amount of exposure to the trigger icon's corresponding disease trigger. Some embodiments also include displaying a patient population disease trigger map one or more relationships between (i) one or more disease triggers and (ii) one or more patients of the patient population. Some embodiments may further include facilitating communication and/or disease trigger information sharing among patients.

Abstract: Embodiments disclosed herein include receiving disease symptom and disease factor inputs from a patient population comprising a plurality of patients, determining whether individual disease factors tend to cause individual patients in the patient population to experience individual disease symptoms or prevent individual patients in the patient population from experiencing individual disease symptoms, and causing a graphical user interlace to display a patient population trigger visualization for the disease symptoms, wherein the trigger visualization comprises a plurality of rows and one or more columns, wherein a first column corresponds to a first disease symptom for a first patient, and wherein a first row in the first column comprises an indication of an extent to which a first risk factor is a disease trigger or disease protector for the first disease symptom for the first patient.

Abstract: Example embodiments disclosed herein relate to methods and systems for determining whether particular actions affect or influence medical symptoms of patients. In one example, a plurality of datasets from a corresponding plurality of patients is received, where each patient has a corresponding disease. An individual dataset for an individual patient may include information about at least one disease symptom of the patient and at least one action of the patient. After the datasets are received from the patients, the datasets are stored in a database. Using the datasets stored in the database, a correlation between one or more actions and one or more disease symptoms may be determined based on a statistical analysis of the actions and symptoms stored in the database. The correlation between the one or more actions and the one or more disease symptoms may also be stored in the database.