Joyce C Ho
Cited by
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Using context-aware computing to reduce the perceived burden of interruptions from mobile devices
J Ho, SS Intille
Proceedings of the SIGCHI conference on Human factors in computing systems …, 2005
Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization
JC Ho, J Ghosh, J Sun
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Limestone: High-throughput candidate phenotype generation via tensor factorization
JC Ho, J Ghosh, SR Steinhubl, WF Stewart, JC Denny, BA Malin, J Sun
Journal of biomedical informatics 52, 199-211, 2014
Septic shock prediction for patients with missing data
JC Ho, CH Lee, J Ghosh
ACM transactions on management information systems (TMIS) 5 (1), 1-15, 2014
Imputation-enhanced prediction of septic shock in ICU patients
JC Ho, CH Lee, J Ghosh
Proceedings of the ACM SIGKDD workshop on health informatics (HI-KDD12), 18, 2012
Granite: Diversified, sparse tensor factorization for electronic health record-based phenotyping
J Henderson, JC Ho, AN Kho, JC Denny, BA Malin, J Sun, J Ghosh
2017 IEEE international conference on healthcare informatics (ICHI), 214-223, 2017
Self-attention based molecule representation for predicting drug-target interaction
B Shin, S Park, K Kang, JC Ho
Machine Learning for Healthcare Conference, 230-248, 2019
Interruptions: using activity transitions to trigger proactive messages
Massachusetts Institute of Technology, 2004
Cp-ortho: An orthogonal tensor factorization framework for spatio-temporal data
A Afshar, JC Ho, B Dilkina, I Perros, EB Khalil, L Xiong, V Sunderam
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances …, 2017
An imputation-enhanced algorithm for ICU mortality prediction
CH Lee, NM Arzeno, JC Ho, H Vikalo, J Ghosh
2012 Computing in Cardiology, 253-256, 2012
COPA: Constrained PARAFAC2 for sparse & large datasets
A Afshar, I Perros, EE Papalexakis, E Searles, J Ho, J Sun
Proceedings of the 27th ACM International Conference on Information and …, 2018
PheKnow–Cloud: A Tool for Evaluating High-Throughput Phenotype Candidates using Online Medical Literature
J Henderson, R Bridges, JC Ho, BC Wallace, J Ghosh
AMIA Summits on Translational Science Proceedings 2017, 149, 2017
Case management system using a medical event forecasting engine
Y Park, J Ho, S Vishwanath
US Patent App. 15/092,738, 2016
Phenotyping using Structured Collective Matrix Factorization of Multi--source EHR Data
S Gunasekar, JC Ho, J Ghosh, S Kreml, AN Kho, JC Denny, BA Malin, ...
arXiv preprint arXiv:1609.04466, 2016
Privacy-preserving tensor factorization for collaborative health data analysis
J Ma, Q Zhang, J Lou, JC Ho, L Xiong, X Jiang
Proceedings of the 28th ACM International Conference on Information and …, 2019
Extracting phenotypes from patient claim records using nonnegative tensor factorization
JC Ho, J Ghosh, J Sun
International Conference on Brain Informatics and Health, 142-151, 2014
Improving length of stay prediction using a hidden Markov model
M Sotoodeh, JC Ho
AMIA Summits on Translational Science Proceedings 2019, 425, 2019
Phenotyping through semi-supervised tensor factorization (PSST)
J Henderson, H He, BA Malin, JC Denny, AN Kho, J Ghosh, JC Ho
AMIA Annual Symposium Proceedings 2018, 564, 2018
DYNACARE: dynamic cardiac arrest risk estimation
J Ho, Y Park, C Carvalho, J Ghosh
Artificial Intelligence and Statistics, 333-341, 2013
TASTE: Temporal and static tensor factorization for phenotyping electronic health records
A Afshar, I Perros, H Park, C Defilippi, X Yan, W Stewart, J Ho, J Sun
Proceedings of the ACM Conference on Health, Inference, and Learning, 193-203, 2020
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