System and method for generating an otolaryngological disease nourishment program

a technology of otolaryngology and nourishment program, applied in the field of artificial intelligence, can solve the problems of individual dissatisfaction, inefficiency of the edible suggestion system and poor nutrition plan, and the inability of the individual to account for the ocular measurement of the individual's intake system,

Active Publication Date: 2021-12-28
KPN INNOVATIONS LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The invention relates to a method for creating a nutritional program that can help prevent or treat diseases such as ophthalmology by providing customized foods with specific ingredients based on factors like age, gender, smoking habits, etc. This program helps people who are unable to eat traditional ways of cooking without having them feeling sick due to their condition.

Problems solved by technology

The technical problem addressed in this patent text is that current edible suggestion systems are often inefficient or unbalanced with respect to nutrients provided to each person's body. Additionally, existing food recommendations have been inconsistently distributed across different people who may be interested in eating certain things differently.

Method used

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  • System and method for generating an otolaryngological disease nourishment program
  • System and method for generating an otolaryngological disease nourishment program
  • System and method for generating an otolaryngological disease nourishment program

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exemplary embodiment 200

[0049]Now referring to FIG. 2, an exemplary embodiment 200 of an otolaryngological assemblage 120 according to an embodiment of the invention is illustrated. Otolaryngological assemblage 120 may include a laryngological assemblage 204. As used in this disclosure “laryngological assemblage” is an assemblage relating to one or more diseases and / or injuries associated with the larynx. As a non-limiting example, laryngological assemblage 204 may include, dysphonia component, a spasmodic dysphonic component, tracheostomic component, a vocologic component, and the like thereof. Otolaryngological assemblage 120 may include a rhinological assemblage 208. As used in this disclosure “rhinological assemblage” is an assemblage relating to one or more diseases and / or injuries associated with the nasal cavity and sinuses components. As a non-limiting example, rhinological assemblage 208 may include a nasal obstruction component, nasal septum deviation component, sinusitis component, allergy comp

exemplary embodiment 300

[0050]Now referring to FIG. 3, an exemplary embodiment 300 of an edible directory 304 according to an embodiment of the invention is illustrated. Edible directory 304 may be implemented, without limitation, as a relational databank, a key-value retrieval databank such as a NOSQL databank, or any other format or structure for use as a databank that a person skilled in the art would recognize as suitable upon review of the entirety of this disclosure. Edible directory 304 may alternatively or additionally be implemented using a distributed data storage protocol and / or data structure, such as a distributed hash table or the like. Edible directory 304 may include a plurality of data entries and / or records as described above. Data entries in a databank may be flagged with or linked to one or more additional elements of information, which may be reflected in data entry cells and / or in linked tables such as tables related by one or more indices in a relational database. Persons skilled

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Abstract

A system and method for generating an otolaryngological disease nourishment program comprises a computing device configured to receive at least an otolaryngological component as a function of an otolaryngological system, determine an otolaryngological localizer as a function of the otolaryngological biomarker, wherein determining comprises obtaining at least an otolaryngological assemblage, and determining the otolaryngological localizer as a function of the otolaryngological biomarker and otolaryngological assemblage using an otolaryngological machine-learning model, identify an otolaryngological effect as a function of the otolaryngological localizer, wherein generating comprises receiving a normal operation as function of an otolaryngological recommendation, and identifying the otolaryngological effect as a function of the normal operation and otolaryngological localizer using an effect machine-learning model, ascertain an edible as a function of the otolaryngological effect, and generate a nourishment program as a function of the edible.

Description

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Claims

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Application Information

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Owner KPN INNOVATIONS LLC
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