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Hye-Chung Kum
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2020 – today
- 2023
- [c26]Edmund Do, Suhrit Lavu, Hye-Chung Kum, Bobak J. Mortazavi:
Earlier identification of hypertensive events in a telemonitoring system. BSN 2023: 1-4 - 2022
- [c25]Sulki Park, Hye-Chung Kum, Mark Lawley:
Adherence to home telemonitoring and its effects on blood glucose control for diabetes in the real-world setting. AMIA 2022 - [c24]Nikita Sandeep Wagle, Jordan Schueler, Solangia Engler, Sherecce Fields, Hye-Chung Kum:
A Systematic Review of Patient-Perceived Barriers and Facilitators to the Adoption and Use of Remote Health Technology in Underserved Populations. AMIA 2022 - 2021
- [j11]Theodoros V. Giannouchos, Alva O. Ferdinand, Gurudev Ilangovan, Eric D. Ragan, William Benjamin Nowell, Hye-Chung Kum, Cason D. Schmit:
Identifying and prioritizing benefits and risks of using privacy-enhancing software through participatory design: a nominal group technique study with patients living with chronic conditions. J. Am. Medical Informatics Assoc. 28(8): 1746-1755 (2021) - [c23]Mahin Ramezani, Guru Ilangovan, Hye-Chung Kum:
Evaluation of Machine Learning Algorithms in a Human-Computer Hybrid Record Linkage System. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c22]Mohammad Karim, Hye-Chung Kum, Cason D. Schmit:
Systematic Study of Publicly Available Resources Addressing Legal Data Sharing Issues. AMIA 2021 - [i2]Mohammad Karim, Mahin Ramezani, Tenaya Sunbury, Robert Ohsfeldt, Hye-Chung Kum:
VIEW: a framework for organization level interactive record linkage to support reproducible data science. CoRR abs/2102.08273 (2021) - 2020
- [j10]Emily C. O'Brien, Ana María Rodríguez, Hye-Chung Kum, Laura E. Schanberg, Marcy Fitz-Randolph, Sean M. O'Brien, Soko Setoguchi:
Corrigendum to "Patient perspectives on the linkage of health data for research: Insights from an online patient community questionnaire" [Int. J. Med. Inform. 127 (2019) 9-17]. Int. J. Medical Informatics 136: 104084 (2020)
2010 – 2019
- 2019
- [j9]Emily C. O'Brien, Ana María Rodríguez, Hye-Chung Kum, Laura E. Schanberg, Marcy Fitz-Randolph, Sean M. O'Brien, Soko Setoguchi:
Patient perspectives on the linkage of health data for research: Insights from an online patient community questionnaire. Int. J. Medical Informatics 127: 9-17 (2019) - [j8]Ineen Sultana, Madhav Erraguntla, Hye-Chung Kum, Dursun Delen, Mark Lawley:
Post-acute care referral in United States of America: a multiregional study of factors associated with referral destination in a cohort of patients with coronary artery bypass graft or valve replacement. BMC Medical Informatics Decis. Mak. 19(1): 223:1-223:15 (2019) - [c21]Qinbo Li, Adam G. D'Souza, Mahin Ramezani, Cason Schmit, Hye-Chung Kum:
Increasing Transparent and Accountable Use of Data by Quantifying the Actual Privacy Risk in Interactive Record Linkage. AMIA 2019 - [c20]Sulki Park, Hye-Chung Kum, Mark Lawley:
A Case Study of Remote Monitoring Processes in Texas. AMIA 2019 - [c19]Hye-Chung Kum, Eric D. Ragan, Gurudev Ilangovan, Mahin Ramezani, Qinbo Li, Cason Schmit:
Enhancing Privacy through an Interactive On-demand Incremental Information Disclosure Interface: Applying Privacy-by-Design to Record Linkage. SOUPS @ USENIX Security Symposium 2019 - [i1]Qinbo Li, Adam G. D'Souza, Cason Schmit, Hye-Chung Kum:
Increasing Transparent and Accountable Use of Data by Quantifying the Actual Privacy Risk in Interactive Record Linkage. CoRR abs/1906.03345 (2019) - 2018
- [c18]Eric D. Ragan, Hye-Chung Kum, Gurudev Ilangovan, Han Wang:
Balancing Privacy and Information Disclosure in Interactive Record Linkage with Visual Masking. CHI 2018: 326 - 2016
- [c17]Arlene Chung, Haiwei Chen, Grace Shin, Ketan K. Mane, Hye-Chung Kum:
The Design of a Patient-Centered Personal Health Record with Patients as Co-Designers. AMIA 2016 - 2014
- [j7]Hye-Chung Kum, Ashok Kumar Krishnamurthy, Ashwin Machanavajjhala, Stanley C. Ahalt:
Social Genome: Putting Big Data to Work for Population Informatics. Computer 47(1): 56-63 (2014) - [j6]Hye-Chung Kum, Ashok K. Krishnamurthy, Ashwin Machanavajjhala, Michael K. Reiter, Stanley C. Ahalt:
Privacy preserving interactive record linkage (PPIRL). J. Am. Medical Informatics Assoc. 21(2): 212-220 (2014) - 2013
- [c16]Ren Bauer, Hye-Chung Kum, Michael C. Reiter:
Protecting Personal Information with Secure Execution Technology. AMIA 2013 - [c15]Hye-Chung Kum, Ashok Kumar Krishnamurthy, Darshana Pathak, Michael K. Reiter, Stanley C. Ahalt:
Secure Decoupled Linkage (SDLink) system for building a social genome. IEEE BigData 2013: 7-11 - [c14]Arcot Rajasekar, Sharlini Sankaran, Howard Lander, Thomas M. Carsey, Jonathan David Crabtree, Hye-Chung Kum, Mercè Crosas, Gary King, Justin Zhan:
Sociometric Methods for Relevancy Analysis of Long Tail Science Data. SocialCom 2013: 1-6 - 2011
- [c13]Wei Cheng, Xiaochuan Ni, Jian-Tao Sun, Xiaoming Jin, Hye-Chung Kum, Xiang Zhang, Wei Wang:
Measuring Opinion Relevance in Latent Topic Space. SocialCom/PASSAT 2011: 323-330 - [c12]Hye-Chung Kum, Stanley C. Ahalt:
Decoupled Data for Privacy Preserving Record Linkage with Error Management. SocialCom/PASSAT 2011: 1294-1301
2000 – 2009
- 2009
- [j5]Hye-Chung Kum, Dean F. Duncan, C. Joy Stewart:
Supporting self-evaluation in local government via Knowledge Discovery and Data mining. Gov. Inf. Q. 26(2): 295-304 (2009) - [j4]Joong Hyuk Chang, Hye-Chung (Monica) Kum:
Frequency-based load shedding over a data stream of tuples. Inf. Sci. 179(21): 3733-3744 (2009) - 2008
- [c11]Hye-Chung Kum, Dean Duncan, C. Joy Stewart:
Supporting self-evaluation in local government via KDD. DG.O 2008: 225-233 - [c10]Hye-Chung Kum, Dean Duncan, Kimberly Flair:
A dynamic website for county level child welfare outcome measures. DG.O 2008: 383-384 - 2007
- [j3]Hye-Chung Kum, Joong Hyuk Chang, Wei Wang:
Benchmarking the effectiveness of sequential pattern mining methods. Data Knowl. Eng. 60(1): 30-50 (2007) - [c9]Hye-Chung Kum, Joong Hyuk Chang, Wei Wang:
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB. PAKDD 2007: 587-597 - 2006
- [j2]Hye-Chung Kum, Joong Hyuk Chang, Wei Wang:
Sequential Pattern Mining in Multi-Databases via Multiple Alignment. Data Min. Knowl. Discov. 12(2-3): 151-180 (2006) - 2005
- [p1]Hye-Chung (Monica) Kum, Susan Paulsen, Wei Wang:
Comparative Study of Sequential Pattern Mining Models. Foundations of Data Mining and knowledge Discovery 2005: 43-70 - 2004
- [c8]Dean Duncan, Hye-Chung Kum, Kimberly Flair, Wei Wang:
Adopting IT for Effective Management of Social Welfare Programs. DG.O 2004 - [c7]Dean Duncan, Hye-Chung Kum, Kimberly Flair, Wei Wang:
Successfully Adopting IT for Social Welfare Program Management. DG.O 2004 - [c6]Hye-Chung Kum, Dean Duncan, Wei Wang:
Understanding Social Welfare Service Patterns Using Sequential Analysis. DG.O 2004 - 2003
- [c5]Hye-Chung (Monica) Kum, Dean Duncan, Kimberly Flair, Wei Wang:
Management Assistance for Work First via a Dynamic Website. DG.O 2003 - [c4]Hye-Chung (Monica) Kum, Dean Duncan, Kimberly Flair, Wei Wang:
Social Welfare Program Administration and Evaluation and Policy Analysis Using Knowledge Discovery and Data Mining (KDD) on Administrative Data. DG.O 2003 - [c3]Hye-Chung Kum, Jian Pei, Wei Wang, Dean Duncan:
ApproxMAP: Approximate Mining of Consensus Sequential Patterns. SDM 2003: 311-315 - 2000
- [c2]Hye-Chung Kum, Prasun Dewan:
Supporting real-time collaboration over wide area networks. CSCW 2000: 355
1990 – 1999
- 1998
- [c1]Lars S. Nyland, Jan F. Prins, Ru Huai Yun, Jan Hermans, Hye-Chung Kum, Lei Wang:
Modeling Dynamic Load Balancing in Molecular Dynamics to Achieve Scalable Parallel Execution. IRREGULAR 1998: 356-365 - 1997
- [j1]Lars S. Nyland, Jan F. Prins, Ru Huai Yun, Jan Hermans, Hye-Chung Kum, Lei Wang:
Achieving Scalable Parallel Molecular Dynamics Using Dynamic Spatial Domain Decomposition Techniques. J. Parallel Distributed Comput. 47(2): 125-138 (1997)
Coauthor Index
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