公开(公告)号：US20200176117A1

公开(公告)日：2020-06-04

申请号：US16638250

申请日：2018-08-07

Applicant: VUNO, INC. ,  HYEWON MEDICAL FOUNDATION

Inventor： Yeongnam LEE ,  Yeha LEE ,  Joonmyoung KWON

IPC: G16H50/30 ,  G06N20/20 ,  G06K9/62 ,  G06N3/08 ,  G06N20/10

Abstract: The present invention relates to a method for generating a prediction. result for predicting an occurrence of fatal symptoms of a subject in advance, a method for performing data classification by using data augmentation in mechanical learning for the same, and a computing device using the same. Particularly, the computing device according to the present invention acquires vital signs of the subject, converts the same into individuated data, generates analysis information from the individuated data on the basis of a machine learning model, generates a prediction result by referring to the analysis information, and provides the prediction result to an external entity.

公开(公告)号：US20230352164A1

公开(公告)日：2023-11-02

申请号：US18218016

申请日：2023-07-04

Applicant: VUNO, INC. ,  HYEWON MEDICAL FOUNDATION

Inventor： Yeongnam LEE ,  Yeha LEE ,  Joonmyoung KWON

IPC: G16H40/63 ,  G16H50/30 ,  G06N20/20 ,  G06N20/10 ,  G06N3/084 ,  G06F18/21 ,  G06F18/241

CPC classification number: G16H40/63 ,  G16H50/30 ,  G06N20/20 ,  G06N20/10 ,  G06N3/084 ,  G06F18/217 ,  G06F18/241

Abstract: The present invention relates to a method for generating a prediction result for predicting an occurrence of fatal symptoms of a subject in advance, a method for performing data classification by using data augmentation in mechanical learning for the same, and a computing device using the same. Particularly, the computing device according to the present invention acquires vital signs of the subject, converts the same into individuated data, generates analysis information from the individuated data on the basis of a machine learning model, generates a prediction result by referring to the analysis information, and provides the prediction result to an external entity.

公开(公告)号：US20220012634A1

公开(公告)日：2022-01-13

申请号：US17295880

申请日：2019-12-04

Applicant: VUNO INC.

Inventor： Yeongnam LEE

IPC: G06N20/00 ,  G16H50/20 ,  G16H50/70 ,  G06K9/62

Abstract: The present disclosure provides a method for assessing the degree of risk of a subject and classifying the subject according to the degree of risk, and a computing device using same. Specifically, by a method according to the present invention, a computer device: obtains integrated data of the subject, wherein the integrated data, which is patient data relating to the subject or data obtained by processing the patient data, is numerical data; then applies the integrated data to a machine learning model for assessing the degree of risk of the subject to produce a result obtained by the classification, as a result obtained by assessing the degree of risk; and provides the produced classification result to an external entity.