Experience Engine-Method and Apparatus of Learning from Similar Patients

A method of selecting a treatment for a patient based on a group of patients falling within a predetermined distance of a similarity map of data elements, the method comprising:

• storing, in a database, records for patients, each record including (i) a first plurality of data elements regarding at least one medical condition and treatment of its respective patient and (ii) a second plurality of data elements, wherein each data element in the second plurality corresponds to an additional medical condition of the respective patient that has been inferred from data elements in the first plurality of data elements;
• receiving, by a server system, (i) a context for treating an untreated patient and (ii) a record of the untreated patient;
• identifying, by the server system, a group of patients, wherein each patient in the group received treatment in the same context as the untreated patient;
• generating, by the server system, a similarity map that minimizes the variance of data elements among the group of identified patients;
• determining, by the server system, similarity distances between the untreated patient and each patient in the group by applying the similarity map to data elements from the record of the untreated patient against data elements for each patient in the group;
• selecting, by the server system, patients from the group that are within a predetermined similarity distance of the untreated patient;
• and
• identifying, by the server system, a treatment from the treatments received by the selected patients to recommend to the untreated patient.