首页|Patent Issued for Methods and systems for customizing treatments (USPTO 11887735)
Patent Issued for Methods and systems for customizing treatments (USPTO 11887735)
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A patent by the inventors Neumann, Kenneth (Lakewood, CO, US), filed on October 31, 2022, was published online on January 30, 2024, according to news reporting originating from Alexandria, Virginia, by NewsRx correspondents. Patent number 11887735 is assigned to Kpn Innovations Llc. (Lakewood, Colorado, United States). The following quote was obtained by the news editors from the background information supplied by the inventors: “Frequently, treatments are arbitrarily recommended based on current trends and stale literature. On occasion, uninformed treatment selection and implementation leads to adverse effects that create further harm as opposed to solving an underlying problem. Currently, there lacks measures that can detect and recommend treatments that are customized and unique to each individual.” In addition to the background information obtained for this patent, NewsRx journalists also obtained the inventors’ summary information for this patent: “In an aspect 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. The computing device further configured to receive, from a remote device operated by a user, an implementation factor. The computing device further configured to calculate a condition state label as a function of the user physiological data. The computing device further configured to 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. The computing device further configured to 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 includes 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. The computing device further configured to output a treatment utilizing the treatment model.
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