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Patent Searching and Data


Title:
PATIENT CONDITION PREDICTION DEVICE, PREDICTION MODEL GENERATING DEVICE, PATIENT CONDITION PREDICTION PROGRAM, AND PATIENT CONDITION PREDICTION METHOD
Document Type and Number:
WIPO Patent Application WO/2020/100258
Kind Code:
A1
Abstract:
The present invention is provided with: a residual-drowsiness prediction model generating unit 13 for generating a residual-drowsiness prediction model for predicting the presence/absence of residual drowsiness on the basis of CPAP device data, using, as learning data, CPAP device data obtained from a breathing device used in CPAP treatment, relating to a plurality of patients affected by sleep apnea syndrome, and activity meter data measured over time by activity meters used while worn on the bodies of the plurality of patients; and a residual-drowsiness prediction unit 14 for predicting the presence/absence of residual drowsiness in a patient as a prediction subject, by applying prediction data to the residual-drowsiness prediction model, using the CPAP device data relating to the prediction subject patient as the prediction data; and the present invention is configured so that when there are CPAP device data relating to the breathing device used by the prediction subject patient for CPAP treatment, residual drowsiness in the patient receiving CPAP treatment can be objectively ascertained by applying the CPAP device data as prediction data to the residual-drowsiness prediction model.

Inventors:
UENO TARO (JP)
ICHIKAWA DAISUKE (JP)
MOTOHASHI TOMOMITSU (JP)
Application Number:
PCT/JP2018/042310
Publication Date:
May 22, 2020
Filing Date:
November 15, 2018
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Assignee:
SUSTAINABLE MEDICINE INC (JP)
International Classes:
A61M16/00; A61B5/08; A61B5/16
Foreign References:
JP2017501465A2017-01-12
JP2006271897A2006-10-12
JP2016182241A2016-10-20
JP2005506601A2005-03-03
Attorney, Agent or Firm:
TACHIBANA Kazuyuki (JP)
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