Methods and systems for customizing treatments
AssigneeKpn Innovations, LLC.
InventorKenneth Neumann
Life of this patent
Estimating the term…
Abstract
A system for customizing treatments. The system includes a computing device configured to record a user biological extraction containing an element of user physiological data. The computing device is configured to receive condition state training data and generate a condition state model utilizing a first machine-learning algorithm. The computing device is configured to calculate a condition state label using the condition state model. The computing device is configured to select a treatment model utilizing the condition state label. The computing device is configured to generate a treatment model and output a plurality of treatments utilizing the treatment model.
Claims20
A system for customizing treatments, the system comprising:
- a computing device, the computing device designed and configured to:
- record a user biological extraction containing an element of user physiological data;
- receive, from a remote device operated by a user, an implementation factor;
- calculate a condition state label as a function of the user physiological data;
- select a treatment training set according to the condition state label, wherein the treatment training set further comprises a plurality of condition state labels and a plurality of correlated treatments;
- generate a treatment model, using a second machine-learning algorithm and the treatment training set, wherein the treatment model utilizes condition state labels as inputs and outputs treatments, wherein generating the treatment model further comprises:
- calculating a treatment category selector as a function of the implementation factor, wherein the implementation factor is a factor that indicates a user preference pertaining to different treatment practices;
- and
- output a treatment utilizing the treatment model.
A method for customizing treatments, the method comprising:
- recording, by a computing device, a user biological extraction containing an element of user physiological data;
- receiving, by the computing device, from a remote device operated by a user, an implementation factor;
- calculating, by the computing device, a condition state label as a function of the user physiological data;
- selecting, by the computing device, a treatment training set according to the condition state label, wherein the treatment training set further comprises a plurality of condition state labels and a plurality of correlated treatments;
- generating, by the computing device, a treatment model, using a second machine-learning algorithm and the treatment training set, wherein the treatment model utilizes condition state labels as inputs and outputs treatments, wherein generating the treatment model further comprises:
- calculating a treatment category selector as a function of the implementation factor, wherein the implementation factor is a factor that indicates a user preference pertaining to different treatment practices;
- and
- outputting, by the computing device, a treatment utilizing the treatment model.
Dependencies are inferred from the claim text.