Methods and systems for informed selection of prescriptive therapies
AssigneeKpn Innovations, LLC.
InventorKenneth Neumann
Life of this patent
Estimating the term…
Abstract
A system for informed selection of prescriptive therapies. The system includes a computing device configured to receive compositional training data containing a plurality of unclassified data entries. The system is configured to retrieve a user biological profile and generate an unsupervised machine-learning model that utilizes a biological profile as an input and outputs a therapy response label. The system selects a therapy response model and receives from a remote device a proposed prescriptive therapy. The system creates a therapy response model and identifies a prescriptive therapy label for a proposed prescriptive therapy.
Claims20
A system for informed selection of prescriptive therapies, the system comprising a computing device, the computing device configured to:
- retrieve an element of user genetic data;
- determine a prescriptive therapy label as a function of the user genetic data,
- wherein determining the prescriptive therapy label comprises utilizing a prescriptive label machine-learning model that receives the user genetic data as an input and outputs the prescriptive therapy label;
- determine a prescriptive therapy instruction set including a first prescriptive therapy as a function of the prescriptive therapy label, where determining further comprises:
- generating a prescriptive machine-learning process, wherein the prescriptive machine-learning process comprises a prescriptive machine-learning model, wherein the prescriptive machine-learning model is trained, iteratively, using prescriptive training data, wherein the prescriptive training data contains a plurality of data entries containing a prescriptive therapy label element correlated to a prescriptive therapy instruction set element by a proximity within the plurality of data entries;
- inputting the prescriptive therapy label, output from the prescriptive machine-learning model, into the prescriptive machine-learning process;
- and
- generating a prescriptive therapy instruction set as a function of the prescriptive therapy label using the prescriptive machine-learning process, wherein the prescriptive therapy instruction set comprises a monitoring recommendation, and wherein the monitoring recommendation comprises measuring one or more biological extractions of the user over a predetermined time interval;
- and
- wherein the system further comprises a graphical user interface (GUI), the GUI configured to display one or more selectable photographs associated with one or more prescriptive therapies, respectively.
A method of informed selection of prescriptive therapies, the method comprising:
- retrieving, by a computing device, an element of user genetic data;
- determining, by a computing device, a prescriptive therapy label as a function of the user genetic data, wherein determining the prescriptive therapy label comprises utilizing a prescriptive label machine-learning model that receives the user genetic data as an input and outputs the prescriptive therapy label;
- determining by the computing device, a prescriptive therapy instruction set including a first prescriptive therapy as a function of the prescriptive therapy label, wherein determining further comprises:
- generating a prescriptive machine-learning process, wherein the prescriptive machine-learning process comprises a prescriptive machine-learning model, wherein the prescriptive machine-learning model is trained, iteratively, using prescriptive training data, wherein the prescriptive training data contains a plurality of data entries containing a prescriptive therapy label element correlated to a prescriptive therapy instruction set element by a proximity within the plurality of data entries;
- inputting the prescriptive therapy label, output from the prescriptive machine-learning model, into the prescriptive machine-learning process;
- and
- generating, by the computing device, a prescriptive therapy instruction set as a function of the prescriptive therapy label using the prescriptive machine-learning process, wherein the prescriptive therapy instruction set comprises a monitoring recommendation, and wherein the monitoring recommendation comprises measuring one or more biological extractions of the user over a predetermined time interval;
- and
- displaying, by a graphical user interface (GUI), one or more selectable photographs associated with one or more prescriptive therapies, respectively.
Dependencies are inferred from the claim text.