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Activity-Based Clinical Decision Support System for Data-Driven Medicine
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데이터주도 임상 서비스를 위한 사용자 활동기반 의료진단지원시스템

논문 기본 정보

Type
Academic journal
Author
Hyun Sang Cho (사이클룩스) Sung Eun Kim (사이클룩스) Ko-Eun Lee (사이클룩스) Su A Oh (건양대학교) Jeong Ui Kim (건양대학교)
Journal
Korean Institute of Information Scientists and Engineers KIISE Transactions on Computing Practices Vol.27 No.5 KCI Accredited Journals
Published
2021.5
Pages
221 - 227 (7page)
DOI
10.5626/KTCP.2021.27.5.221

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Result
Activity-Based Clinical Decision Support System for Data-Driven Medicine
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Abstract· Keywords

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The development of information and communication technology and IoT enables 4P (personalization, participation, prediction, and prevention) precision medicine that predicts and prevents diseases by using vast amounts of data obtained by expanding the diagnosis and treatment areas of hospitals into homes. It is hypothesized that the user"s activity data, which can be obtained from the living patterns, may be affected by disease due to certain internal and external factors. Moreover, a specific disease affects a specific user activity. In this paper, we propose a conceptual model of a medical service system based on the user"s activity data that supports medical diagnosis and can be used as a cybernetics system for digital therapeutics in combination with interactive services.
#활동기반 컴퓨팅 #가상물리시스템 #정밀의료 #데이터 주도 의료 #인터랙티브 서비스 #디지털 치료제 #activity-based computing #cyber-physical system #precision medicine #data-driven medicine #interactive service #digital therapeutics

Contents

요약
Abstract
1. 서론
2. 정밀의료와 Big Data
3. Lifelog 기반의 의료서비스
4. 활동기반 서비스 프레임워크의 구조
5. 사용자 활동 추출 절차
6. 결론
References

References (13)

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W.D Cho, et. al., "Lifelog big data-based lifestyle using IoT (Life pattern) analysis and wellness prediction care service system," The Journal of The Korean Institute of Communication Sciences, Vol. 31, No. 12, pp. 17-24, 2014. google schola KeunYoung Kim, SeungHun Hu, "Research on Precision Medical Services Life Log Based Health Prediction," Proc. of KIISE, pp. 334-336, 2017. dbpia Kang Yoon Lee, Junhewk Kim, "Artificial Intelligence Technology Trends and IBM Watson References in the Medical Field," Korean Medical Education Review, Vol. 18, No. 2, pp. 51-57, 2016. google schola Pegah Afra, et. al., "Mobile Software as a Medical Device (SaMD) for the Treatment of Epilepsy: Development of Digital Therapeutics Comprising Behavioral and Music-Based Interventions for Neurological Disorders," Front Hum Neurosci., Vol. 12, Article 171, pp. 1-12, 2018. google schola JG Sohn, "Smart healthcare to change the future medical care," The Magazine of the IEIE, Vol. 45, No. 11, pp. 35-40, 2018. google schola

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