Method for and system for generating an object prioritization list for physical transfer

1. A system for generating an object prioritization list for physical transfer, the system comprising:

a computing device, wherein the computing device is further configured to:

receive a biological extraction of a user;

identify at least a co-morbidity datum as a function of the biological extraction;

determine, using the biological extraction and the at least a co-morbidity datum, a plurality of urgency metrics, wherein determining the plurality of urgency metrics further comprises:

training an urgency machine-learning model with training data that includes a plurality of entries wherein each entry correlates biological extraction data to metrics of urgency of object-addressable maladies; and

determining the plurality of urgency metrics as a function of the urgency machine-learning model;

order, using a first ranking machine-learning process, a plurality of candidate objects as a function of the plurality of urgency metrics; and

generate an object prioritization list as a function of a prioritization machine-learning model, wherein the prioritization machine-learning model inputs a utility ordering of the plurality of candidate objects and outputs the plurality of candidate objects in a prioritized ordering, wherein generating the object prioritization list further comprises:

querying a plurality of providers for the plurality of candidate objects, wherein retrieving further comprises generating a plurality of provider identifiers for the plurality of providers;

generating, using the plurality of provider identifiers, a plurality of utility metrics for the plurality of candidate objects, wherein each utility metric indicates a value of a benefit associated with a candidate object of the plurality of candidate objects and expediting a physical transfer of each candidate object of the plurality of candidate objects;

searching for a plurality of physical transfer modes for the plurality of candidate objects;

generating a plurality of reliability metrics for each mode of the plurality of physical transfer modes with each of the plurality of candidate objects; and

generating a representation of an object prioritization queue and a provider for each object via a graphical user interface (GUI), wherein generating the representation of an object prioritization queue comprises hyperlinking each object in the object prioritization queue.

2. The system of claim 1 , wherein ordering the plurality of candidate objects further comprises identifying, using the plurality of urgency metrics and a constituent machine-learning process, a plurality of candidate objects.

3. The system of claim 1 , wherein generating the object prioritization list further comprises:

filtering as a function of the plurality of physical transfer modes.

4. The system of claim 1 , wherein generating the object prioritization list further comprises using a third ranking machine-learning process to generate a utility ordering of the plurality of physical transfer modes as a function of the plurality of reliability metrics and the plurality of urgency ordering.

5. The system of claim 1 , wherein generating the object prioritization list using a prioritization machine-learning process further comprises:

generating an objective function of the plurality of candidate object prioritizations as a function of a plurality of constraints, wherein minimizing the objective function minimizes the time of physical transfer of the plurality of candidate objects as a function of object priority.

6. The system of claim 5 , wherein the computing device selects the object prioritization list that minimizes the time of physical transfer of the plurality of candidate objects as a function of object priority.

7. The system of claim 1 , wherein generating the representation via the graphical user interface of the object prioritization list includes a physical transfer mode for each object and a physical transfer time.

8. A method for generating an object prioritization list for physical transfer, the method comprising:

receiving, by a computing device, a biological extraction of a user;

identifying, by the computing device, at least a co-morbidity datum as a function of the biological extraction;

determining, by the computing device, using the biological extraction and the at least a co-morbidity datum, a plurality of urgency metrics, wherein determining the plurality of urgency metrics further comprises:

training an urgency machine-learning model with training data that includes a plurality of entries wherein each entry correlates biological extraction data to metrics of urgency of object-addressable maladies; and

determining the plurality of urgency metrics as a function of the urgency machine-learning model;

ordering, by the computing device, using a first ranking machine-learning process, a plurality of candidate objects as a function of the plurality of urgency metrics; and

generating, by the computing device, an object prioritization list as a function of a prioritization machine-learning model, wherein the prioritization machine-learning model inputs a utility ordering of the plurality of candidate objects and outputs the plurality of candidate objects in a prioritized ordering, wherein generating the object prioritization list further comprises:

querying a plurality of providers for the plurality of candidate objects, wherein retrieving further comprises generating a plurality of provider identifiers for the plurality of providers;

generating, using the plurality of provider identifiers, a plurality of utility metrics for the plurality of candidate objects, wherein each utility metric indicates a value of a benefit associated with a candidate object of the plurality of candidate objects and expediting a physical transfer of each candidate object of the plurality of candidate objects;

searching for a plurality of physical transfer modes for the plurality of candidate objects;

generating a plurality of reliability metrics for each mode of the plurality of physical transfer modes with each of the plurality of candidate objects; and

generating a representation of an object prioritization queue and a provider for each object via a graphical user interface (GUI), wherein generating the representation of an object prioritization queue comprises hyperlinking each object in the object prioritization queue.

9. The method of claim 8 , wherein ordering the plurality of candidate objects further comprises identifying, using the plurality of urgency metrics and a constituent machine-learning process, a plurality of candidate objects.

10. The method of claim 8 , wherein generating the object prioritization list further comprises:

filtering as a function of the plurality of physical transfer modes.

11. The method of claim 8 , wherein generating the object prioritization list further comprises using a third ranking machine-learning process to generate a utility ordering of the plurality of physical transfer modes as a function of the plurality of reliability metrics and the plurality of urgency ordering.

12. The method of claim 8 , wherein generating the object prioritization list using a prioritization machine-learning process further comprises:

generating an objective function of the plurality of candidate object prioritizations as a function of a plurality of constraints, wherein minimizing the objective function minimizes the time of physical transfer of the plurality of candidate objects as a function of object priority.

13. The method of claim 12 , wherein the computing device selects the object prioritization list that minimizes the time of physical transfer of the plurality of candidate objects as a function of object priority.

14. The method of claim 8 , wherein generating the representation via the graphical user interface of the object prioritization list includes a physical transfer mode for each object and a physical transfer time.

15. The system of claim 1 , wherein hyperlinking further comprises linking a phrase to each object in the object prioritization queue, wherein a selection via the GUI causes the user to be directed to a provider website.

16. The method of claim 8 , wherein hyperlinking further comprises linking a phrase to each object in the object prioritization queue, wherein a selection via the GUI causes the user to be directed to a provider website.