Patent ID: 11935653
Assignee: UNIVERSITY HOSPITALS CLEVELAND MEDICAL CENTER
Field: Medical technology (Instruments)
Classification: CPC G  A  Y | IPC A  G

Claim 16:
17. A non-transitory machine-readable storage medium, comprising executable instructions that, when executed by a processor of a device, facilitate performance of operations, comprising:
receiving patient information for a patient that is a potential candidate for a transfusion procedure, wherein the patient information comprises condition information regarding a current medical condition of the patient and medical history information regarding a medical history of the patient;
employing one or more first machine learning processes to forecast expected outcomes of the transfusion procedure based on the patient information, historical transfusion data for other patients associated with a similar clinical context of the patient, and domain knowledge transfusion, wherein the expected outcomes include potential adverse outcomes and likelihood of occurrence of the adverse outcomes, and wherein employing the one or more first machine learning processes comprises:
generating a feature vector representation for the patient information using a dimensionality reduction model;
identifying the subset of similar patients to the patient included in the historical transfusion data based on matching the feature vector representation with reference feature vectors generated for the similar patients using the dimensionality reduction model, and
evaluating historical outcomes for the similar patients; and

employing one or more second machine learning processes to determine a measure of appropriateness of the transfusion procedure for the patient based on the expected outcomes, the patient information, the historical transfusion data for the other patients and the domain knowledge transfusion data.