# US 12,112,244 B2 · System and method for generating a procreant functional program

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- Number: US 12,112,244 B2
- Document ID: US12112244B2
- Status: Granted
- Kind: B2
- Application number: 17/221,384
- Filed: 2021-04-02
- Published: 2022-06-30
- Granted: 2024-10-08
- Earliest claimed: 2020-12-29
- Applicants: Kpn Innovations, LLC.
- Inventors: Kenneth Neumann
- Web page: https://patentgrep.com/patent/US12112244B2

## CPC

- G06N 20/00: Machine learning
- G16H 20/60: relating to nutrition control, e.g. diets
- A61B 5/43: {Detecting, measuring or recording for evaluating the reproductive systems}
- G16H 10/40: for data related to laboratory analysis, e.g. patient specimen analysis
- G16H 10/60: for patient-specific data, e.g. for electronic patient records
- G16H 20/00: ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)

## Abstract

A system for generating a procreant functional program includes a computing device configured to obtain a procreant marker as a function of a procreant system, determine a procreant appraisal as a function of the procreant marker, wherein determining further comprises producing a procreant enumeration as a function of the procreant marker, and determining the procreant appraisal as a function of the procreant enumeration, and a safe range, receive a conduct indicator, identify a functional signature as a function of the conduct indicator, wherein identifying further comprises obtaining a salubrious reference, and identifying the functional signature as a function of the salubrious reference and the conduct indicator using a functional machine-learning model, and generate a functional program as a function of the functional signature and procreant appraisal using a program machine-learning model.

## Claims

### Claim 1

A system for generating a procreant functional program, the system comprising:
a computing device, the computing device configured to:
obtain a procreant marker as a function of a procreant system;
determine a procreant appraisal as a function of the procreant marker, wherein determining further comprises;
producing a procreant enumeration as a function of the procreant marker; and
determining the procreant appraisal as a function of the procreant enumeration and a safe range;
receive a conduct indicator;
identify a functional signature as a function of the conduct indicator, wherein identifying further comprises:
obtaining a salubrious reference; and
identifying the functional signature as a function of the salubrious reference and the conduct indicator using a functional machine-learning model;
training the functional machine-learning model as a function of a functional training set, wherein the functional training set correlates the salubrious reference and the conduct indicator to the functional signature;
update the functional training set as a function of the functional signature;
iteratively train the functional machine-learning model as a function of the updated functional training set; and
generate a functional program as a function of the functional signature and procreant appraisal using a program machine-learning model.

### Claim 2 (depends on 1)

The system of claim 1, wherein producing the procreant enumeration further comprises identifying a procreant disorder and producing the procreant enumeration as a function of the procreant disorder.

### Claim 3 (depends on 1)

The system of claim 1, wherein the conduct indicator includes a dimensional element.

### Claim 4 (depends on 1)

The system of claim 1, wherein receiving the conduct indicator further comprises obtaining an exposure element and receiving the conduct indicator as a function of the exposure element.

### Claim 5 (depends on 1)

The system of claim 1, wherein identifying the functional signature further comprises:
producing an indicator index as a function of the conduct indicator; and
identifying the functional signature as a function of the indicator index.

### Claim 6 (depends on 1)

The system of claim 1, wherein identifying the functional signature further comprises determining a root cause and identifying the functional signature as a function of the root cause.

### Claim 7 (depends on 1)

The system of claim 1, wherein identifying the functional signature further comprises determining a habit as a function of the conduct indicator and identifying the functional signature as a function of the habit.

### Claim 8 (depends on 1)

The system of claim 1, wherein generating the functional program further comprises:
determining a holistic prospect and generating the functional program as a function of the holistic prospect.

### Claim 9 (depends on 1)

The system of claim 1, wherein the functional program includes a nourishment program.

### Claim 10 (depends on 1)

The system of claim 1, wherein generating the functional program further comprises:
obtaining a procreant functional goal; and
generating the functional program as a function of the functional signature and the procreant functional goal using a goal machine-learning model.

### Claim 11

A method for generating a procreant functional program, the method comprising:
obtaining, by a computing device, a procreant marker as a function of a procreant system;
determining, by the computing device, a procreant appraisal as a function of the procreant marker, wherein determining further comprises;
producing a procreant enumeration as a function of the procreant marker; and
determining the procreant appraisal as a function of the procreant enumeration and a safe range;
receiving, by the computing device, a conduct indicator;
identifying, by the computing device, a functional signature as a function of the conduct indicator, wherein identifying further comprises:
obtaining a salubrious reference; and
identifying the functional signature as a function of the salubrious reference and the conduct indicator using a functional machine-learning model;
training the functional machine-learning model as a function of a functional training set, wherein the functional training set correlates the salubrious reference and the conduct indicator to the functional signature;
update the functional training set as a function of the functional signature;
iteratively train the functional machine-learning model as a function of the updated functional training set; and
generating, by the computing device, a functional program as a function of the functional signature and procreant appraisal using a program machine-learning model.

### Claim 12 (depends on 11)

The method of claim 11, wherein producing the procreant enumeration further comprises identifying a procreant disorder and producing the procreant enumeration as a function of the procreant disorder.

### Claim 13 (depends on 11)

The method of claim 11, wherein the conduct indicator includes a dimensional element.

### Claim 14 (depends on 11)

The method of claim 11, wherein receiving the conduct indicator further comprises obtaining an exposure element and receiving the conduct indicator as a function of the exposure element.

### Claim 15 (depends on 11)

The method of claim 11, wherein identifying the functional signature further comprises:
producing an indicator index as a function of the conduct indicator; and
identifying the functional signature as a function of the indicator index.

### Claim 16 (depends on 11)

The method of claim 11, wherein identifying the functional signature further comprises determining a root cause and identifying the functional signature as a function of the root cause.

### Claim 17 (depends on 11)

The method of claim 11, wherein identifying the functional signature further comprises determining a habit as a function of the conduct indicator and identifying the functional signature as a function of the habit.

### Claim 18 (depends on 11)

The method of claim 11, wherein generating the functional program further comprises:
determining a holistic prospect and generating the functional program as a function of the holistic prospect.

### Claim 19 (depends on 11)

The method of claim 11, wherein the functional program includes a nourishment program.

### Claim 20 (depends on 11)

The method of claim 11, wherein generating the functional program further comprises:
obtaining a procreant functional goal; and
generating the functional program as a function of the functional signature and the procreant functional goal using a goal machine-learning model.