Title:
METHOD AND SYSTEM FOR PREDICTION OF OCCURRENCE OF DISORDER DUE TO SHIFT WORK
Document Type and Number:
WIPO Patent Application WO/2022/108085
Kind Code:
A1
Abstract:
The present invention relates to a method and system for prediction of the occurrence of a disorder due to shift work and, more specifically, to a method and system for training a neural network by using data information regarding the occurrence of a disorder due to shift work, and predicting the occurrence of a disorder due to individual shift work by using the trained neural network. The method for prediction of the occurrence of a disorder due to shift work according to an embodiment of the present invention may comprise: a data input step of receiving, as an input as cause data, data including information regarding shift work, and receiving, as an input as result data, whether or not a worker's disorder has occurred according to the cause data; a training step of analyzing the correlation between the cause data and the result data, and extracting or combining the correlation as or into a feature vector; and a disorder occurrence prediction step of predicting whether or not a worker's disorder has occurred due to shift work, by using the feature vector.
Inventors:
KIM SEOG JU (KR)
Application Number:
PCT/KR2021/012994
Publication Date:
May 27, 2022
Filing Date:
September 24, 2021
Export Citation:
Assignee:
SAMSUNG LIFE PUBLIC WELFARE FOUNDATION (KR)
International Classes:
G16H50/50; G06N3/08; G06N20/00; G16H10/60; G16H50/70
Foreign References:
| JP4638040B2 | 2011-02-23 | |||
| KR20190136075A | 2019-12-09 | |||
| JP4638041B2 | 2011-02-23 | |||
| JP2016538898A | 2016-12-15 | |||
| JP2019040495A | 2019-03-14 |
Attorney, Agent or Firm:
PCR INTELLECTUAL PROPERTY LAW FIRM (KR)
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