Multi-dimensional analysis of medical data
AssigneeGeneral Electric Company
InventorsAllison Weiner, Gopal Avinash
Life of this patent
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Abstract
A technique is disclosed for identifying medical data entities and for analyzing them for classification in accordance with a defined domain definition. The domain definition may be user-defined and may include a plurality of logical associations by which the data entities are classified. A one-to-many classification of the entities facilitates complex analysis of the data. The data entities may be analyzed to recognize relationships between them for rendering patient care, identifying health conditions in populations, and so forth.
Claims23
A computer-implemented method for analyzing medical data comprising:
- accessing data entities classified based upon a data domain definition including a plurality of classification axes and a plurality of classification labels for each axis, and upon corresponding attributes of the data entities;
- and
- analyzing the data entities to determine a relationship between the data entities for use in a health care decision.
A computer-implemented method for analyzing medical data comprising:
- accessing data entities classified based upon a data domain definition including a plurality of classification axes and a plurality of classification labels for each axis, and upon corresponding attributes of the data entities, the data entities being classified from a plurality of data resources and a plurality of controllable and prescribable resources;
- analyzing the data entities to determine a relationship between the data entities;
- and
- making a health care recommendation based upon the analysis.
A computer program for analyzing medical data comprising:
- at least one machine readable medium;
- and
- computer code stored on the at least one machine readable medium including code for accessing data entities classified based upon a data domain definition including a plurality of classification axes and a plurality of classification labels for each axis, and upon corresponding attributes of the data entities, and analyzing the data entities to determine a relationship between the data entities for use in a health care decision.
Dependencies are inferred from the claim text.