Hye-Chung Kum
Hye-Chung Kum
Population Informatics Lab, School of Public Health, Texas A&M University
Verified email at tamu.edu - Homepage
Cited by
Cited by
ApproxMAP: Approximate mining of consensus sequential patterns
HC Kum, J Pei, W Wang, D Duncan
Proceedings of the 2003 SIAM International Conference on Data Mining, 311-315, 2003
Former foster youth: Employment outcomes up to age 30
CJ Stewart, HC Kum, RP Barth, DF Duncan
Children and Youth Services Review 36, 220-229, 2014
Privacy preserving interactive record linkage (PPIRL)
HC Kum, A Krishnamurthy, A Machanavajjhala, MK Reiter, S Ahalt
Journal of the American Medical Informatics Association 21 (2), 212-220, 2014
Coming of age: Employment outcomes for youth who age out of foster care through their middle twenties
JE Macomber
The Urban Institute, 2008
Achieving scalable parallel molecular dynamics using dynamic spatial domain decomposition techniques
L Nyland, J Prins, RH Yun, J Hermans, HC Kum, L Wang
Journal of Parallel and Distributed Computing 47 (2), 125-138, 1997
Sequential pattern mining in multi-databases via multiple alignment
HC Kum, JH Chang, W Wang
Data Mining and Knowledge Discovery 12 (2), 151-180, 2006
Barriers to remote health interventions for type 2 diabetes: a systematic review and proposed classification scheme
MM Alvarado, HC Kum, KG Coronado, MJ Foster, P Ortega, MA Lawley
Journal of medical Internet research 19 (2), e6382, 2017
Social genome: Putting big data to work for population informatics
HC Kum, A Krishnamurthy, A Machanavajjhala, SC Ahalt
Computer 47 (1), 56-63, 2013
Hepatocellular carcinoma screening is associated with increased survival of patients with cirrhosis
DT Choi, HC Kum, S Park, RL Ohsfeldt, Y Shen, ND Parikh, AG Singal
Clinical Gastroenterology and Hepatology 17 (5), 976-987. e4, 2019
Posttraumatic stress disorder and mobile health: app investigation and scoping literature review
C Rodriguez-Paras, K Tippey, E Brown, F Sasangohar, S Creech, ...
JMIR mHealth and uHealth 5 (10), e156, 2017
Supporting self-evaluation in local government via Knowledge Discovery and Data mining
HC Kum, DF Duncan, CJ Stewart
Government Information Quarterly 26 (2), 295-304, 2009
A Position Statement on Population Data Science: The science of data about people
KM McGrail, K Jones, A Akbari, TD Bennett, A Boyd, F Carinci, X Cui, ...
International Journal of Population Data Science 3 (1), 2018
Privacy-by-design: Understanding data access models for secondary data
HC Kum, S Ahalt
AMIA Summits on Translational Science Proceedings 2013, 126, 2013
Predictors of colorectal cancer screening: does rurality play a role?
CO Ojinnaka, Y Choi, HC Kum, JN Bolin
The Journal of Rural Health 31 (3), 254-268, 2015
Characteristics and predictors of adult frequent emergency department users in the United States: a systematic literature review
TV Giannouchos, HC Kum, MJ Foster, RL Ohsfeldt
Journal of evaluation in clinical practice 25 (3), 420-433, 2019
Using big data for evidence based governance in child welfare
HC Kum, CJ Stewart, RA Rose, DF Duncan
Children and Youth Services Review 58, 127-136, 2015
Effects of maternity care coordination on pregnancy outcomes: propensity-weighted analyses
MM Hillemeier, ME Domino, R Wells, RK Goyal, HC Kum, D Cilenti, ...
Maternal and child health journal 19 (1), 121-127, 2015
Benchmarking the effectiveness of sequential pattern mining methods
HC Kum, JH Chang, W Wang
Data & Knowledge Engineering 60 (1), 30-50, 2007
Management Assistance for Child Welfare, Work First, and Food & Nutrition Services in North Carolina
DF Duncan, HC Kum, KA Flair, CJ Stewart, J Vaughn, R Bauer, A You
University of North Carolina at Chapel Hill, Jordan Institute for Families …, 2011
Military deployments and mental health utilization among spouses of active duty service members
TC Leroux, HC Kum, A Dabney, R Wells
Military medicine 181 (10), 1269-1274, 2016
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