박사

심혈관 질환 예방을 위한 심층 신경망 기반 헬스 빅데이터 처리 기법 = Health Big Data Processing Method Based on Deep Neural Network for Preventing Cardiovascular Disease

유현 2019년
논문상세정보
' 심혈관 질환 예방을 위한 심층 신경망 기반 헬스 빅데이터 처리 기법 = Health Big Data Processing Method Based on Deep Neural Network for Preventing Cardiovascular Disease' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • big-data
  • data-mining
  • deep neural network
  • health-care
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
1,855 0

0.0%

' 심혈관 질환 예방을 위한 심층 신경망 기반 헬스 빅데이터 처리 기법 = Health Big Data Processing Method Based on Deep Neural Network for Preventing Cardiovascular Disease' 의 참고문헌

  • 프레밍험 모형은 한국 인의 허혈성심질환 발생률을 과대 추정한다
    남정모 안경아 윤지은 장양수 조어린 지선하 한국역학회지, Vol. 28, No. 2, pp. 162-170 [2006]
  • 스마트 공장에서 의사결정 모델을 이용 한 순차 마이닝 기반 제조공정
    김주창 유현 정경용 정호일 한국융합학회논문지, Vol. 9, No. 3, pp. 53-59 [2018]
  • 남녀 체질량지수에 따른 관상동맥질환위험도 (Framingham Risk Score-Coronary Heart Disease) 영향요인,
    박광옥 서지영 지역사회 간호학회지, Vol. 25, No. 4, pp. 248-258 [2014]
  • “개인화 추천 시스템에서 연관 관계 군 집에 의한 아이템 기반의 협력적 필터링 기술,”
    김진현 이정현 정경용 정헌만 정보과학회논문지: 소프 트웨어 및 응용, Vol. 31, No. 4, pp. 387-536 [2004]
  • Y. Sugomori, Java Deep Learning Essentials, Packt Publishing, 2016.
  • Y. H. Lee, K. Chung, U, G, Kang, "Design of Life Habits Disease System using Neural Network," Journal of Digital Convergence, The Korea Society of Digital Policy and Management, Vol. 10, No. 6, pp. 1-6, 2012.
  • World Health Organization, "Preventing Chronic Diseases : A Vital Investment," World Health Organization, 2005.
  • The Seventh Korea National Health and Nutrition Examination Survey (KNHANES Ⅶ-2), 2017, Korea Centers for Disease Control and Prevention
  • T. J. Hsieh, H. F. Hsiao, W. C. Yeh, "Forecasting Stock Markets using Wavelet Transforms and Recurrent Neural Networks: An Integrated System based on Artificial Bee Colony Algorithm," Applied soft computing, Vol. 11, No. 2, pp. 2510-2525, 2011.
  • T. Fischer, C. Krauss, "Deep Learning with Long Short-term Memory Networks for Financial Market Predictions," European Journal of Operational Research, Vol. 270, No. 2, pp. 654-669, 2018.
  • T. Chen, H. R. Tsai, "Application of Industrial Engineering Concepts and Techniques to Ambient Intelligence: A Case Study," Journal of Ambient Intelligence and Humanized Computing, Vol. 9, No. 2, pp. 215-223, 2018.
  • Statistics Korea, "Population Projections for Korea : 2015~2065(Based on the 2015 Population Census)," Statistics Korea, 11-1240000-000125-13, 2018.
  • Statistics Korea, "Cause of Death 2017," Statistics Korea, pp. 7, 2018.
  • S. Y. Oh, K. Chung, J. S. Han, "Towards Ubiquitous Health with Convergence," International Journal of Technology and Health Care, Vol. 24, No. 3, pp. 411-413, 2016.
  • S. K. Kang, K. Chung, J. H. Lee, "Real-Time Tracking and Recognition Systems for Interactive Telemedicine Health Services," Wireless Personal Communications, Vol. 79, No. 4, pp. 2611-2626, 2014.
  • S. H. Oh, M. C. Whang, J. J. Im, "A Study for The Discrimination of Visual Emotions Using Heart Rate Variability," Proceedings of the Conference on Ergonomics Society of Korea, pp. 473-476, 1997.
  • S. H. Kim, K. Chung, "Emergency Situation Monitoring Service using Context Motion Tracking of Chronic Disease Patients," Cluster Computing, Vol. 18, No. 2, pp. 747-759, 2016.
  • S. Chauhan, A. S. Arora, and A. Kaul, "A Survey of Emerging Biometric Modalites," Procedia Computer Science, Vol. 2, pp. 213-218, 2010.
  • R. Fleischer, "Decision Trees: Old and New Results," Information and Computation 152, pp. 44-61, 1999.
  • R. C. Chen, C. F. Hsieh, W. L. Chang, "Using Ambient Intelligence to Extend Network Lifetime in Wireless Sensor Networks," Journal of Ambient Intelligence and Humanized Computing, Vol. 7, No. 6, pp. 777-788, 2016.
  • P. K. Stein, "Assessing Heart Rate Variability from Real-World Holter Reports," Cardiac Electrophysiology Review, Vol. 6, No. 3, pp. 239-255, 2002.
  • P. Corcoran, S. K. Datta, "Mobile-edge Computing and the Internet of Things for Consumers: Extending Cloud Computing and Services to the Edge of the Network," IEEE Consumer Electronics Magazine, Vol. 5, No. 4, pp. 73-74, 2016.
  • P. C. Tang, J. S. Ash, D. W. Bates, J. M. Overhage, D. Z. Sands, "Personal Health Records: Definitions, Benefits, and Strategies for Overcoming Barriers to Adoption," Journal of the American Medical Informatics Association, Vol. 13, No. 2, pp. 121-126, 2006.
  • Observational Health Data Sciences and Informatics, https://www.ohdsi.org/.
  • M. Satyanarayanan, "The Emergence of Edge Computing," Computer, Vol. 50, No. 1, pp. 30-39, 2017.
  • M. J. Pazzani, "A Framework for Collaborative, Content-based and Demographic Filtering," Journal of Artificial Intelligence Review, Vol. 13, No. 5, pp. 393-408, 1999.
  • M. Friedman, T. B. Noy, M. Blau, A. Kandel, "Certain Computational Aspects of Fuzzy Decision Trees," Fuzzy Sets and Systems 28, 1998.
  • L. Atzori, A. Iera, G. Morabito, "The Internet of Things: A survey," Computer Networks, Vol. 54, No. 15, pp. 2787-2805, 2010.
  • K. Y. Chung, "Vital Signal Monitoring Simulation System by Various Visual Stimulus," Journal of the Korea Contents Association, Vol. 11, No. 1, pp. 1-8, 2011.
  • K. Chung, Y. Na, J. H. Lee, "Interactive Design Recommendation using Sensor based Smart Wear and Weather WebBot," Wireless Personal Communications, Vol. 73, No. 2, pp. 243-256, 2013.
  • K. Chung, R. C. Park, "PHR Open Platform based Smart Health Service using Distributed Object Group Framework," Cluster Computing, Vol. 19, No. 1, pp. 505-517, 2016.
  • K. Chung, J. C. Kim, R. C. Park, "Knowledge-based Health Service Considering User Convenience using Hybrid Wi-Fi P2P," Information Technology and Management, Vol. 17, No. 1, pp. 67-80, 2016.
  • K. Chung, H. Yoo, D. Choe, H. Jung, "Blockchain Network based Topic Mining Process for Cognitive Manufacturing", Wireless Personal Communications, Vol. 105, No. 2, pp. 583-597, 2019.
  • K. Chung, H. Yoo, D. Choe, "Ambient Context-based Modeling for Health Risk Assessment Using Deep Neural Network", Journal of Ambient Intelligence and Humanized Computing, 2019. DOI: 10.1007/s12652-018-1033-7
  • K. Chung, H. Yoo, "Edge Computing Health Model Using P2P-Based Deep Neural Networks", Peer-to-Peer Networking and Applications, 2019. DOI: 10.1007/s12083-019-00738-y
  • J. Yeon, D. Lee, J. Shim, S-G. Lee, "Product Review Data and Sentiment Analytical Processing Modeling," Journal of Society for E-business studies, Vol. 16, No. 4, pp. 125-137, 2011.
  • J. Yao, S. Warren, "Applying the ISO/IEEE 11073 Standards to Wearable Home Health Monitoring Systems," Journal of Clinical Monitoring and Computing, Vol. 19, No. 6, pp. 427-436, 2006.
  • J. Venter, A. Waal, C. Willers, "Specializing CRISP-DM for Evidence Mining," Advances in Digital Forensics, pp. 303-315, 2007.
  • J. S. Breese, D. Heckerman, C. Kadie, "Empirical Analysis of Predictive Algorithms for Collaborative Filtering," Proceedings of the Workshop on Recommender System, pp. 43-52, 1998.
  • J. Pan and W. J. Tompkins, "A real-time QRS detection algorithm," IEEE Transaction on Biomedical Engineering, Vol. BME-32, No. 3, pp. 230-236, 1985.
  • J. M. Hilbe, Logistic Regression Models. Florida: CRC Press, 2009. Print.
  • J. H. Kim, K. Chung, "Ontology-Based Healthcare Context Information Model to Implement Ubiquitous Environment," Multimedia Tools and Applications, Vol. 71, No. 2, pp. 873-888, 2014.
  • J. C. Kim, K. Chung, "Mining Health-Risk Factors using PHR Similarity in a Hybrid P2P Network," Peer-to-Peer Networking and Applications, Vol. 11, No. 6, pp. 1278-1287, 2018.
  • J. C. Kim, K. Chung, "Emerging Risk Forecast System using Associative Index Mining Analysis," Cluster Computing, Vol. 20, No. 1, pp. 547-558, 2017.
  • J. C. Kim, K. Chung, "Depression Index Service using Knowledge based Crowdsourcing in Smart Health," Wireless Personal Communication, Vol. 93, No. 1, pp. 255-268, 2017.
  • J. C. Kim, H. Jung, K. Chung, "Mining Based Urban Climate Disaster Index Service According to Potential Risk," Wireless Personal Communications, Vol. 89, No. 3, pp. 1009-1025, 2016.
  • J. Behar, J. Oster, Q. Li, and G. D. Clifford, "ECG Signal Quality during Arrhythmia and its Application to False Alarm Reduction,"IEEE Transaction on Biomedical Engineering, Vol. 60, No. 6, pp. 1660-1666, 2013.
  • International Business Machines Co, http://www.ibm.com/watson/.
  • IBM Blumix Service, https://www.ibm.com/cloud-computing/bluemix/.
  • HanVit MD, http://ivic.koreasme.com/.
  • HanDok Co, http://www.handok.co.kr.
  • H. Yoo, K. Chung, "PHR based Diabetes Index Service Model using Life Behavior Analysis," Wireless Personal Communications, Vol. 93, No. 1, pp. 161-174, 2017.
  • H. Yoo, K. Chung, "Mining-based Lifecare Recommendation using Peer-to-Peer Dataset and Adaptive Decision Feedback," Peer-to-Peer Networking and Applications, Vol. 11, No. 6, pp. 1309-1320, 2018.
  • H. Yoo, K. Chung, "Heart Rate Variability based Stress Index Service Model using Bio-Sensor," Cluster Computing, Vol. 21, No. 1, pp. 1139-1149, 2018.
  • H. Yoo, J. C. Kim, K. W. Kim, R. C. Park, "Context Aware Based User Customized Light Therapy Service using Security Framework," Journal of Computer Virology and Hacking Techniques, Vol 13, No. 4, pp. 279-288, 2017.
  • H. Y. Lee, B. J. Ham, "Stress and Mental Illness," Journal of the Korean Medical Association, Vol. 56, No. 6, pp. 471-477, 2013.
  • H. Jung, K. Y. Chung, Y. H. Lee, "Decision Supporting Method for Chronic Disease Patients based on Mining Frequent Pattern," Multimedia Tools and Applications, Vol. 74, No. 20, pp. 8979-8991, 2015.
  • H. Jung, K. Chung, "Sequential Pattern Profiling based Bio-Detection for Smart Health Service," Cluster Computing, Vol. 18, No. 1, pp. 209-219, 2015.
  • H. Jung, K. Chung, "PHR Based Life Health Index Mobile Service using Decision Support Model," Wireless Personal Communications, Vol. 86, No. 1, pp. 315-332, 2016.
  • H. Jung, K. Chung, "P2P Context Awareness based Sensibility Design Recommendation using Color and Bio-signal Analysis," Peer-to-Peer Networking and Applications, Vol. 9, No. 3, pp. 546-557, 2016.
  • H. Jung, K. Chung, "Life Style Improvement Mobile Service for High Risk Chronic Disease based on PHR Platform," Cluster Computing, Vol. 19, No. 2, pp. 967-977, 2016.
  • H. Jung, K. Chung, "Knowledge-based Dietary Nutrition Recommendation for Obese Management," Information Technology and Management, Vol. 17, No. 1, pp. 29-42, 2016.
  • H. Jung, H. Yoo, K. Chung, "Associative Context Mining for Ontology-Driven Hidden Knowledge Discovery," Cluster Computing, Vol. 19, No. 4, pp. 2261-2271, 2016.
  • H. C. Hsieh, C. S. Lee, J. L. Chen, "Mobile Edge Computing Platform with Container-Based Virtualization Technology for IoT Applications," Wireless Personal Communications, Vol. 102, No. 1, pp. 527-542, 2018.
  • Google inc, http://www.google.org/flutrends/.
  • G. Wubbeler, M. Stavridis, D. Kreiseler, R. D. Bousseljot, and C. Elster, "Verification of Humans using the Electrocardiogram," Pattern Recognition Letters, Vol. 28, Vol. 10, pp. 1172-1175, 2007.
  • G. P. Zhang, "Time Series Forecasting using a Hybrid ARIMA and Neural Network Model," Neurocomputing, Vol. 50, pp. 159-175, 2003.
  • G. H. Cha, "A Similarity Ranking Algorithm for Image Databases," Journal of Communications of the Korean Institute of Information Scientists and Engineers, Vol. 36, No. 5, pp. 366-373, 2009.
  • G. Adomavicius, A. Tuzhilin, "Context-Aware Recommender Systems," Recommender Systems Handbook, pp. 191-226, 2015.
  • Fitbit, http://www.fitbit.com/home/.
  • D. E. Rumelhart, G.E. Hinton, R.J. Williams, "Learning Representations by Back-propagating Errors," Nature, Vol. 323, pp. 533-536, 1986.
  • D. Billsus, M. J. Pazzani, "Learning Collaborative Information Filters," Proceedings of International Conference on Machine Learning, pp. 46-53, 1998.
  • Care Innovations, LLC, http://www.careinnovations.com/quietcare/.
  • C. Ye, B. V. K. V. Kumar, and M. T. Coimbra, “Heartbeat Classification using Morphological and Dynamic Features of ECG Signals,” IEEE Transaction on Biomedical Engineering, Vol. 59, No. 10, pp. 2930-2941, 2012.
  • C. McCue, "Data Mining and Predictive Analysis: Intelligence Gathering," pp. 237-253, 2014.
  • B. A. Lee, S. H. Jung, G. S. Han, S. W. Lee, Y. S. Hong, "Significance of Shock Index in Hemmorrhagic Shock and Septic Shock Patients," The Korean Journal of Thaumatology, Vol. 17, No. 1, pp. 20-26, 2004.
  • American Heart Association Inc, http://www.heart.org/.
  • A. V. Dastjerdi, R. Buyya, "Fog Computing: Helping the Internet of Things Realize its Potential," Computer, Vol. 49, No. 8, pp. 112-211, 2016.
  • A. Nasrollahi, W. Deng, Z. Ma, P. Rizzo, "Multimodal Structural Health Monitoring based on Active and Passive Sensing," Structural Health Monitoring, Vol. 17, No. 2, pp. 395-409, 2018.
  • A. D. C. Chan, M. M. Hamdy, A. Badre, and V. Badee, "Wavelet Distance Measure for Person Identification using Electrocardiograms," IEEE Trans. Instrum. Meas., Vol. 57, No. 2, pp. 248-253, 2008.
  • A. Chaib, I. Boussebough, A. Chaoui, "Adaptive Service Composition in an Ambient Environment with a Multi-agent System," Journal of Ambient Intelligence and Humanized Computing, Vol. 9, No. 2, pp. 367-380, 2018.
  • "스마트 헬스를 위한 마이닝 기 반의 정신 건강과 혈압 관리 서비스"
    김주창 유현 정경용 정은진 정호일 한국융합학회논문지, Vol. 8, No. 1, pp. 13-18 [2017]