Two-Stage Blood Glucose Prediction Using Pre-Training
Summary
The EPO published patent application EP2024060438A1 filed by Shenzhen Cofoe Biotechnology Co., Ltd. The invention relates to a two-stage blood glucose prediction method using machine learning pre-training and data decomposition techniques. The application is classified under IPC G06N 20/00 (machine learning) with additional classifications in medical informatics (G16H) and blood glucose measurement (A61B).
What changed
The EPO published patent application EP2024060438A1 for a two-stage blood glucose prediction method incorporating machine learning pre-training and data decomposition. The application is classified under IPC G06N 20/00 (machine learning) along with medical informatics (G16H 50/50) and blood glucose measurement (A61B 5/145). Designated states include all EU member states and extended states.
For applicants and technology companies, this publication establishes a public record of the invention and its technical claims. Third parties have six months from publication to file observations under Article 115 EPC. The patent application does not impose compliance obligations on other parties beyond standard patent publication procedures.
Archived snapshot
Apr 19, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
TWO-STAGE BLOOD GLUCOSE PREDICTION METHOD BASED ON PRE-TRAINING AND DATA DECOMPOSITION
Publication EP2024060438A1 Kind: A1 Apr 08, 2026
Applicants
Shenzhen Cofoe Biotechnology Co., Ltd
Inventors
The designation of the inventor has not yet been filed
IPC Classifications
G16H 50/50 20180101AFI20240329BHEP A61B 5/145 20060101ALI20240329BHEP G06N 20/00 20190101ALI20240329BHEP
Designated States
AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, ME, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
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Source
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