METHOD AND DEVICE FOR PROVIDING STROKE RECURRENCE PREDICTION AND CARE SERVICE BASED ON ARTIFICIAL INTELLIGENCE - CATHOLIC UNIV KOREA IND ACADEMIC COOPERATION FOUNDATION

Title:

METHOD AND DEVICE FOR PROVIDING STROKE RECURRENCE PREDICTION AND CARE SERVICE BASED ON ARTIFICIAL INTELLIGENCE

Document Type and Number:

WIPO Patent Application WO/2023/085594

Kind Code:

A1

Abstract:

The present invention relates to a method and a device for providing a stroke recurrence prediction and care service based on artificial intelligence, the method and the device determining whether to update changes on the basis of a reliability determination method, and reflecting same in real time so that accuracy is improved. According to the present invention, a stroke recurrence probability prediction result and related service guide data can be intuitively identified, and stroke recurrence variables having ensured reliability are reflected in real time so that a more accurate probability of stroke recurrence can be predicted.

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Inventors:

JO KWANG WOOK (KR)

Application Number:

PCT/KR2022/014323

Publication Date:

May 19, 2023

Filing Date:

September 26, 2022

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Assignee:

CATHOLIC UNIV KOREA IND ACADEMIC COOPERATION FOUNDATION (KR)

International Classes:

G16H50/50; G06N20/00; G16H10/60; G16H50/20; G16H50/70

Foreign References:

US20180322406A1	2018-11-08
KR20190132710A	2019-11-29
KR101737279B1	2017-05-18
KR102289648B1	2021-08-18

Other References:

ABEDI VIDA, AVULA VENKATESH, CHAUDHARY DURGESH, SHAHJOUEI SHIMA, KHAN AYESHA, GRIESSENAUER CHRISTOPH J, LI JIANG, ZAND RAMIN: "Prediction of Long-Term Stroke Recurrence Using Machine Learning Models", JOURNAL OF CLINICAL MEDICINE, vol. 10, no. 6, pages 1286, XP093064954, DOI: 10.3390/jcm10061286

Attorney, Agent or Firm:

BLT PATENT & LAW FIRM (KR)

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