Patent ID: 11862345
Assignee: ROCHE MOLECULAR SYSTEMS, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. An apparatus comprising:
a treatment metric model database that stores a plurality of treatment metric models, wherein each of the plurality of treatment metric models is associated with a plurality of patient characteristics features in the treatment metric model database, and wherein each of the plurality of treatment metric models is generated for a first cluster of cluster features vectors, each cluster feature vector representing a distribution for each of a plurality of data categories of patients data represented by patient feature vectors clustered in a second cluster, the data categories being related to a patient characteristic of the plurality of patients and an administration of a treatment to the plurality of patients, wherein the data categories related to the administration of the treatment to a patient comprise one or more of a group consisting of: a type of admission of the patient to a hospital, a source of insurance, an operator of the hospital, a type of the hospital, a number of beds of the hospital, and a point of referral;
a memory that stores a set of instructions; and
a hardware processor configured to:
receive patient characteristics features data of a patient;
identify, based on comparing the patient characteristics features data of the patient and the plurality of patient characteristics features associated with each of the plurality of treatment metric models, a first treatment metric model based on performing supervised machine learning on the patients data in the second cluster using a function having the treatment metric as a dependent variable and a data category as an independent variable;
input the patient characteristic features data and data representing a range of administrations of the treatment to the first treatment metric model to compute a range of treatment metric data, wherein the treatment metric data reflects results of the treatment for the patient; and
select, as part of a clinical decision for the patient, an administration of the treatment from the range of administrations of the treatment having optimal treatment metric data.