# US 2021/0241133 A1 · Methods and systems for physiologically informed gestational inquiries

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- Number: US 2021/0241133 A1
- Document ID: US20210241133A1
- Status: Published application
- Kind: A1
- Application number: 16/778,847
- Filed: 2020-01-31
- Published: 2021-08-05
- Earliest claimed: 2020-01-31
- Assignees: Kpn Innovations, LLC.
- Applicants: KPN Innovations, LLC
- Inventors: Kenneth Neumann
- Web page: https://patentgrep.com/patent/US20210241133A1

## CPC

- G06N 5/04: Inference or reasoning models
- G16H 20/60: relating to nutrition control, e.g. diets
- G06N 3/0464: Convolutional networks [CNN, ConvNet]
- G06N 3/09: Supervised learning
- G06N 7/01: Probabilistic graphical models, e.g. probabilistic networks
- G06N 20/00: Machine learning
- G16H 20/70: relating to mental therapies, e.g. psychological therapy or autogenous training
- G16H 30/20: for handling medical images, e.g. DICOM, HL7 or PACS
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients
- G06N 3/08: Learning methods
- Y02A 90/10: Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
- 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
- Y02A: TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE

## Abstract

A system for physiologically informed gestational inquiries. The system includes a computing device configured to calculate a gestational phase, wherein the gestational phase is calculated by receiving a gestational datum, classifying the gestational datum to a gestational phase, and generating a gestational phase label. The computing device is further configured to receive from a remote device a gestational inquiry. The computing device is further configured to classify a gestational inquiry to an inquiry category. The computing device is further configured to select a gestational machine-learning model. The computing device is further configured to generate a gestational machine-learning model wherein the gestational machine-learning model utilizes a user biological extraction as an input and outputs gestational eligibility. The computing device is further configured to determine the gestational eligibility of a gestational inquiry.

## Claims

### Claim 1

A system for physiologically informed gestational inquiries, the system comprising a computing device the computing device designed and configured to:
calculate a gestational phase, wherein calculating the gestational phase further comprises:
receiving a gestational datum;
classifying the gestational datum to a gestational phase; and
generating a gestational phase label as a function of the classifying;
receive, from a remote device operated by a user, a gestational inquiry;
classify the gestational inquiry to an inquiry category;
select a gestational machine-learning model as a function of the inquiry category;
generate a gestational machine-learning model, wherein the gestational machine-learning model utilizes the gestational phase label and a user biological extraction as an input and outputs gestational eligibility labels; and
determine, utilizing the gestational machine-learning model, the gestational eligibility of the gestational inquiry.

### Claim 2 (depends on 1)

The system of claim 1, wherein classifying the gestational datum to a gestational phase further comprises generating a gestational classification algorithm, wherein the gestational classification algorithm utilizes the gestational datum as an input and outputs a gestational phase label.

### Claim 3 (depends on 1)

The system of claim 1, wherein receiving the gestational inquiry further comprises receiving, at an image catching device located on the computing device, a wireless transmission from the remote device containing a picture of the gestational inquiry.

### Claim 4 (depends on 1)

The system of claim 1, wherein receiving the gestational inquiry further comprises:
receiving from the remote device a description of the gestational inquiry; and
separating the gestational inquiry from the description of the gestational inquiry.

### Claim 5 (depends on 1)

The system of claim 1, wherein classifying the gestational inquiry to an inquiry category further comprises generating a category classification algorithm, wherein the category classification algorithm utilizes the gestational inquiry as an input and outputs an inquiry category.

### Claim 6 (depends on 1)

The system of claim 1, wherein generating the gestational machine-learning model further comprises:
receiving gestational training data, wherein the gestational training data further comprises a plurality of combinations of gestational phase labels and biological extractions correlated to gestational eligibility labels; and
outputting a plurality of gestational eligibility labels for gestational inquiries related to the inquiry category.

### Claim 7 (depends on 1)

The system of claim 1, wherein determining the gestational eligibility of the gestational inquiry further comprises:
determining that the gestational inquiry is suitable for the user for the current gestational phase; and
evaluating the gestational inquiry to determine eligibility for subsequent gestational phases.

### Claim 8 (depends on 1)

The system of claim 1, wherein determining the gestational eligibility of the gestational inquiry further comprises:
determining that the gestational inquiry is suitable for the user; and
initiating a limitation on the gestational inquiry.

### Claim 9 (depends on 1)

The system of claim 1, wherein determining the gestational eligibility of the gestational inquiry further comprises:
determining that the gestational inquiry is not suitable for the user;
identifying suitable gestational inquiries related to the inquiry category; and
recommending suitable gestational inquiries related to the inquiry category as a function of the user biological extraction and the user gestational phase.

### Claim 10 (depends on 1)

The system of claim 1, wherein determining the gestational eligibility of the gestational inquiry further comprises:
determining that the gestational inquiry is not suitable for a first gestational phase; and
determining that the gestational inquiry is suitable for a second gestational phase wherein the second gestational phase occurs after the first gestational phase.

### Claim 11

A method of physiologically informed gestational inquiries, the method comprising:
calculating by a computing device, a gestational phase wherein calculating the gestational phase further comprises:
receiving a gestational datum;
classifying the gestational datum to a gestational phase; and
generating a gestational phase label;
receiving by the computing device, from a remote device operated by a user, a gestational inquiry;
classifying by the computing device the gestational inquiry to an inquiry category;
selecting by the computing device a gestational machine-learning model as a function of the inquiry category;
generating by the computing device a gestational machine-learning model, wherein the gestational machine-learning model utilizes the gestational phase label and a user biological extraction as an input and outputs gestational eligibility labels; and
determining by the computing device utilizing the gestational machine-learning model the gestational eligibility of the gestational inquiry.

### Claim 12 (depends on 11)

The method of claim 11, wherein classifying the gestational datum to a gestational phase further comprises generating a gestational classification algorithm, wherein the gestational classification algorithm utilizes the gestational datum as an input and outputs a gestational phase label.

### Claim 13 (depends on 11)

The method of claim 11, wherein receiving the gestational inquiry further comprises receiving at an image catching device located on the computing device a wireless transmission from the remote device containing a picture of the gestational inquiry.

### Claim 14 (depends on 11)

The method of claim 11, wherein receiving the gestational inquiry further comprises:
receiving from the remote device a description of the gestational inquiry; and
separating the gestational inquiry from the description of the gestational inquiry.

### Claim 15 (depends on 11)

The method of claim 11, wherein classifying the gestational inquiry to an inquiry category further comprises generating a category classification algorithm wherein the category classification algorithm utilizes the gestational inquiry as an input and outputs an inquiry category.

### Claim 16 (depends on 11)

The method of claim 11, wherein generating the gestational machine-learning model further comprises:
receiving gestational training data wherein gestational training data further comprises a plurality of combinations of gestational phase labels and biological extractions and correlated to gestational eligibility; and
outputting a plurality of gestational eligibility labels for gestational inquiries related to the inquiry category.

### Claim 17 (depends on 11)

The method of claim 11, wherein determining the gestational eligibility of the gestational inquiry further comprises:
determining the gestational inquiry is suitable for the user for the current gestational phase; and
evaluating the gestational inquiry to determine eligibility for subsequent gestational phases.

### Claim 18 (depends on 11)

The method of claim 11, wherein determining the gestational eligibility of the gestational inquiry further comprises:
determining the gestational inquiry is suitable for the user; and
initiating a limitation on the gestational inquiry.

### Claim 19 (depends on 11)

The method of claim 11, wherein determining the gestational eligibility of the gestational inquiry further comprises:
determining the gestational inquiry is not suitable for the user;
identifying suitable gestational inquiries related to the inquiry category; and
recommending suitable gestational inquiries related to the inquiry category as a function of the user biological extraction and the user gestational phase.

### Claim 20 (depends on 11)

The method of claim 11, wherein determining the gestational eligibility of the gestational inquiry further comprises:
determining the gestational inquiry is not suitable for a first gestational phase; and
determining the gestational inquiry is suitable for a second gestational phase wherein the second gestational phase occurs after the first gestational phase.