Abstract: A method, system, and program applies machine learning in displaying a patient's medical state. A first set of data can be received corresponding to a medical state of the patient and defined by a first plurality of positives corresponding to deviations from a healthy state. The first positives are grouped to a second plurality of positives defining by a medical condition. Individual first positives can correlate to a different medical conditions, thus defining a plurality a problem bundles associated with the patient. A mismatch occurs when one of the first positives is not groupable to the second positives of a particular condition. Via machine learning, mismatches are reduced by repeatedly identifying the mismatch and revising a second data set of the relevant medical condition to include the relevant first positive, eliminating the mismatch from a subsequent groupings and displays.

Abstract: A method of managing an electronic health record and displaying a patient's medical state can include receiving a first input corresponding to the medical state, including a first plurality of positives that each correspond to a deviation from a healthy state. The method can also include grouping at least some of the first plurality of positives that collectively correlate to at least one of the medical conditions. The method can also include displaying with a display a statgraph having a plurality of objects including a homunculus plane, nodes projecting away from the plane, axes interconnecting the nodes, and a planar bundling object enveloping at least some of the nodes. The method can also include morphing, on the display controlled by the computing device, a first statgraph into a second statgraph.

Abstract: A method of managing an electronic health record and displaying a patient's medical state can include receiving a first input corresponding to the medical state, including a first plurality of positives that each correspond to a deviation from a healthy state. The method can also include grouping at least some of the first plurality of positives that collectively correlate to at least one of the medical conditions. The method can also include displaying with a display a statgraph having a plurality of objects including a homunculus plane, nodes projecting away from the plane, axes interconnecting the nodes, and a planar bundling object enveloping at least some of the nodes. The method can also include morphing, on the display controlled by the computing device, a first statgraph into a second statgraph.

Abstract: A method of managing an electronic health record and displaying a patient's medical state can include receiving a first input corresponding to the medical state, including a first plurality of positives that each correspond to a deviation from a healthy state. The method can also include updating the electronic health record of the patient by adding the first input and comparing the positives with a plurality of different medical conditions each defined by positives. The method can also include grouping at least some of the first plurality of positives that collectively correlate to at least one of the medical conditions. The method can also include displaying a plurality of objects including a homunculus plane, nodes projecting away from the plane, axes interconnecting the nodes, and a planar bundling object enveloping at least some of the nodes.