Title:
人工知能ディープラーニング学習を利用した生体測定物濃度測定方法
Document Type and Number:
Japanese Patent JP7090184
Kind Code:
B2
Abstract:
The present invention has been made in an effort to provide an analyte concentration measurement method using artificial intelligence deep learning, capable of extracting useful features that are not known in advance by humans through deep learning using artificial neural networks by imaging input signals obtained during the measurement time from samples with information (labels) to construct a data set and estimating a result value by applying an algorithm obtained through learning in this way, compared with conventional measurement techniques that are applied by devising formulas or methods that directly extract features for a long time by experts in related fields in order to extract effective features.
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Inventors:
Lee, Suk-won
Kang, Byung Kung
Lee, Myeongho
Nam, Hak Hyun
Lee, Hyung Suk
Kang, Byung Kung
Lee, Myeongho
Nam, Hak Hyun
Lee, Hyung Suk
Application Number:
JP2020572819A
Publication Date:
June 23, 2022
Filing Date:
July 13, 2018
Export Citation:
Assignee:
Ice Sense, Inc.
International Classes:
G01N27/26; G01N27/327; G06N3/04; G06N3/08
Domestic Patent References:
| JP2016061772A |
Foreign References:
| KR1020160096460A | ||||
| KR1020180009637A | ||||
| KR1020170010698A |
Attorney, Agent or Firm:
Fujimoto Partners Corporation
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