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 | 520 | 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 | 291 | 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 | 199 | 2014 |
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 | 183 | 2019 |
A dysregulated balance of proinflammatory and anti-inflammatory host cytokine response early during therapy predicts persistence and mortality in Staphylococcus aureus bacteremia E Minejima, J Bensman, RC She, WJ Mack, MT Tran, P Ny, M Lou, ... Critical care medicine 44 (4), 671-679, 2016 | 79 | 2016 |
Case management system using a medical event forecasting engine Y Park, J Ho, S Vishwanath US Patent App. 15/092,738, 2016 | 66 | 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 | 57 | 2019 |
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 | 53 | 2014 |
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 | 52 | 2018 |
Tackling overfitting in boosting for noisy healthcare data Y Park, JC Ho IEEE Transactions on Knowledge and Data Engineering 33 (7), 2995-3006, 2019 | 48 | 2019 |
Improving length of stay prediction using a hidden Markov model M Sotoodeh, JC Ho AMIA Summits on Translational Science Proceedings 2019, 425, 2019 | 44 | 2019 |
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 | 41 | 2020 |
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 | 38 | 2017 |
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 | 36 | 2018 |
SMAT: An attention-based deep learning solution to the automation of schema matching J Zhang, B Shin, JD Choi, JC Ho Advances in Databases and Information Systems: 25th European Conference …, 2021 | 33 | 2021 |
LogPar: Logistic PARAFAC2 factorization for temporal binary data with missing values K Yin, A Afshar, JC Ho, WK Cheung, C Zhang, J Sun Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 33 | 2020 |
Distributed tensor decomposition for large scale health analytics H He, J Henderson, JC Ho The World Wide Web Conference, 659-669, 2019 | 32 | 2019 |
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 | 32 | 2012 |
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 | 31 | 2017 |
Interruptions: using activity transitions to trigger proactive messages JJC Ho Massachusetts Institute of Technology, 2004 | 28 | 2004 |