公开(公告)号：US20220246232A1

公开(公告)日：2022-08-04

申请号：US17168288

申请日：2021-02-05

Applicant: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： DongHo CHO ,  Dong Jin JI

IPC: G16B5/20 ,  G16B40/00

Abstract: Provided is a method for diagnosing a disease risk based on a complex biomarker network. More particularly, provided is a method for predicting or diagnosing a disease risk by constructing a complex disease relation network from biomarkers extracted from a liquid biological specimen and automatically extracting a disease marker from the complex disease relation network. It was confirmed that the method for predicting or diagnosing a disease risk using the biomarkers extracted from the liquid biological specimen developed according to the present invention applies an improved network analysis and learning method as compared to conventional methods, and thus enables disease-related diagnosis which shows high sensitivity and specificity even when only a few biomarkers are applied, which indicates that the method of the present invention shows superior extraction performance, compared to the methods using conventional variational dropout-based biomarker extraction.

公开(公告)号：US20190268894A1

公开(公告)日：2019-08-29

申请号：US16286844

申请日：2019-02-27

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Dong Ho CHO ,  Dong Jin JI ,  Hyuk Joon LEE

IPC: H04W72/04

Abstract: Disclosed is a reinforcement learning-based resource allocation method for a wireless backhaul network, which is performed by a resource allocation apparatus. The method includes estimating locations of a plurality of base stations on the basis of channel state information (CSI) measured by the plurality of base stations; and allocating resources of the wireless backhaul network to the plurality of base stations using a reinforcement learning neural network having the locations as an input.