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Patent Searching and Data


Title:
ANTIDEPRESSANT RECOMMENDATION METHOD AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2020/091375
Kind Code:
A2
Abstract:
An antidepressant recommendation method using an antidepressant recommendation system according to the present invention comprises the steps of: (a) inputting information on states of a patient into a database in which drug names, brands of drugs, therapeutic purposes of individual drugs, prescription instructions according to states of patients, and adverse effects of corresponding drug are recorded, to calculate recommendation scores for drugs suitable for the patient's states; (b) inputting information on the current depression index of a patient, a described drug, and a prediction-desired week into an antidepressant reactivity-predicting machine learning model constructed on the basis of patient data including patients' fundamental information, genome information, and MRI information, prescribed drugs, and weekly depression indices of individual patients, to predict a depression index on the prediction-desired week and to calculate a reactivity score on the basis of predicted depression index; and (c) recommending an optimal antidepressant on the basis of the calculated recommendation scores for individual drugs and the reactivity scores for prescribed drugs.

Inventors:
KANG JAE WOO (KR)
CHOI YONG HWA (KR)
LEE JUN HYUN (KR)
JEON MIN JI (KR)
CHANG BU RU (KR)
Application Number:
PCT/KR2019/014360
Publication Date:
May 07, 2020
Filing Date:
October 29, 2019
Export Citation:
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Assignee:
UNIV KOREA RES & BUS FOUND (KR)
International Classes:
G16H20/70; G16H20/10; G16H50/20; G16H50/70
Attorney, Agent or Firm:
MAPS INTELLECTUAL PROPERTY LAW FIRM (KR)
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