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Title:
INFORMATION PROCESSING DEVICE FOR PROVIDING REFERENCE INFORMATION RELATING TO DIAGNOSIS OF THYROID DISEASE
Document Type and Number:
WIPO Patent Application WO/2022/225000
Kind Code:
A1
Abstract:
This information processing device includes a first determining unit which inputs, into a first learned model, information relating to total protein (TP), cholinesterase (ChE), total cholesterol (TC), creatinine (CREA), and creatine phosphokinase (CPK), from information relating to a blood test of a subject, and which outputs information relating to whether a thyroid stimulating hormone (TSH) of the subject is in a range requiring treatment.

Inventors:
YOSHIMURA HIROSHI (JP)
Application Number:
PCT/JP2022/018395
Publication Date:
October 27, 2022
Filing Date:
April 21, 2022
Export Citation:
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Assignee:
ITO KOICHI (JP)
HOFFMANN LA ROCHE (CH)
ROCHE DIAGNOSTICS K K (JP)
ROCHE DIAGNOSTICS OPERATIONS INC (US)
ROCHE DIAGNOSTICS GMBH (DE)
International Classes:
G01N33/68; C12Q1/37; C12Q1/42; C12Q1/44; C12Q1/48; G01N33/70; G01N33/78; G01N33/92; G16H50/00
Domestic Patent References:
WO2011089923A12011-07-28
Foreign References:
JP2012509061A2012-04-19
JP2020073885A2020-05-14
Other References:
AYAKO HOSHIYAMA, HIROSHI YOSHIMURA, RAN YOSHIMURA, KENTARO MIKURA, AYA KINOSHITA, AI SUZUKI, TAKAKO MIMATSU, NAMI SUZUKI, MIHO FUK: "O2-9-2 Prediction of Thyroid Gland Functional Deterioration with General Gloodwork Using Artificial Intelligence (AI)", FOLIA ENDOCRINOLOGICA JAPONICA, vol. 97, no. 1, 1 April 2021 (2021-04-01) - 24 April 2021 (2021-04-24), pages 269, XP009540433, DOI: 10.1507/endocrine.97.1_105
NATSUKO WATANABE, HIROSHI YOSHIMURA, AI YOSHIHARA, MASAKO MATSUMOTO, MIHO FUKUSHITA, NAMI SUZUKI, AYAKO HOSHIYAMA, AI SUZUKI, TAKA: "O2-1-3 Differential Prediction Model for Graves' Disease and Painless Thyroiditis Using Artificial Intelligence (Machine Learning)", FOLIA ENDOCRINOLOGICA JAPONICA, vol. 97, no. 1, 1 April 2021 (2021-04-01) - 24 April 2021 (2021-04-24), pages 263, XP009540432, DOI: 10.1507/endocrine.97.1_105
AI YOSHIHARA, HIROSHI YOSHIMURA, NATSUKO WATANABE, MIHO FUKUSHITA, MASAKO MATSUMOTO, NAMI SUZUKI, AYAKO HOSHIYAMA, AYA KINOSHITA, : "O2-1-6 Prediction of Thyroid Toxicosis with General Bloodwork Using Machine Learning Software", NIHON NAIBUNPI GAKKAI ZASSHI - FOLIA ENDOCRINOLOGICA JAPONICA, NIHON NAIBUNPI GAKKAI, JP, vol. 97, no. 1, 1 April 2021 (2021-04-01) - 24 April 2021 (2021-04-24), JP , pages 263, XP009540431, ISSN: 0029-0661, DOI: 10.1507/endocrine.97.1_105
RAO AMULYA.R., RENUKA B.S.: "A Machine Learning Approach to Predict Thyroid Disease at Early Stages of Diagnosis", 2020 IEEE INTERNATIONAL CONFERENCE FOR INNOVATION IN TECHNOLOGY (INOCON), IEEE, 6 November 2020 (2020-11-06) - 8 November 2020 (2020-11-08), pages 1 - 4, XP055977943, ISBN: 978-1-7281-9744-9, DOI: 10.1109/INOCON50539.2020.9298252
Attorney, Agent or Firm:
INABA, Yoshiyuki et al. (JP)
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