publications

publications in reversed chronological order. generated by jekyll-scholar.

2023

  1. Evaluation of available risk scores to predict multiple cardiovascular complications for patients with type 2 diabetes mellitus using electronic health records
    Joyce C Ho, Lisa R Staimez, KM Venkat Narayan, Lucila Ohno-Machado, Roy L Simpson, and Vicki Stover Hertzberg
    Computer Methods and Programs in Biomedicine Update, 2023
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2022

  1. Best Paper
    Counterfactual and factual reasoning over hypergraphs for interpretable clinical predictions on EHR
    Ran Xu, Yue Yu, Chao Zhang, Mohammed K Ali, Joyce C Ho, and Carl Yang
    In Proceedings of the 2nd Machine Learning for Health symposium, 2022
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  2. PubMed Author-assigned Keyword Extraction (PubMedAKE) Benchmark
    Jiasheng Sheng, Zelalem Gero, and Joyce C Ho
    In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
    HTML PDF Code
  3. GDA-AM: On the effectiveness of solving mini-max optimization via Anderson mixing
    Huan He, Shifan Zhao, Yuanzhe Xi, Joyce Ho, and Yousef Saad
    In International Conference on Learning Representations, 2022
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2021

  1. Communication efficient tensor factorization for decentralized healthcare networks
    Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, and Joyce C Ho
    In 2021 IEEE International Conference on Data Mining (ICDM), 2021
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  2. Diabetes and hypertension among South Asians in New York and Atlanta leveraging hospital electronic health records
    Jeannette M Beasley, Joyce C Ho, Sarah Conderino, Lorna E Thorpe, Megha Shah, Unjali P Gujral, Jennifer Zanowiak, and Nadia Islam
    Diabetology & metabolic syndrome, 2021
    HTML PDF
  3. Examination of the accuracy of coding pressure injury amount, site, and stage in MIMIC-III
    Wenhui Zhang, Mani Sotoodeh, Joyce C Ho, Roy L Simpson, and Vicki Stover Hertzberg
    Applied Clinical Informatics, 2021
    PDF
  4. Temporal network embedding via tensor factorization
    Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, and Joyce C Ho
    In Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021
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  5. Uncertainty-based self-training for keyphrase extraction
    Zelalem Gero, and Joyce C Ho
    In Proceedings of the 2021 IEEE EMBS International Conference on Biomedical & Health Informatics, 2021
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  6. SMAT: An attention-based deep learning solution to the automation of schema matching
    Jing Zhang, Bonggun Shin, Jinho Choi, and Joyce C Ho
    In Proceedings of the 25th European Conference on Advances in Databases and Information Systems, 2021
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  7. GASP: Graph-based approximate sequential pattern mining for electronic health records
    Wenqin Dong, Eric W Lee, Vicki Stover Hertzberg, Roy L Simpson, and Joyce C Ho
    In Proceedings of the 25th European Conference on Advances in Databases and Information Systems, 2021
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  8. CATAN: Chart-aware temporal attention network for adverse outcome prediction
    Zelalem Gero, and Joyce C Ho
    In IEEE International Conference on Healthcare Informatics, 2021
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  9. Predictors of progression through the cascade of care to a cure for hepatitis C patients using decision trees and random forests
    Jasmine Nakayama, Joyce C Ho, Emily Cartwright, Roy L Simpson, and Vicki Stover Hertzberg
    Computers in Biology and Medicine, 2021
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  10. Word centrality constrained representation for keyphrase extraction
    Zelalem Gero, and Joyce C Ho
    In BioNLP: Workshop on Biomedical Natural Language Processing, 2021
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  11. You sound like someone who watches drama movies: Towards predicting movie preferences from conversational interactions
    Sergey Volokhin, Joyce C Ho, Oleg Rokhlenko, and Eugene Agichtein
    In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
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  12. Profiles of intra-day glucose in Type 2 Diabetes and their association with complications: An analysis of continuous glucose monitoring data
    Jithin Sam Varghese, Joyce C Ho, Ranjit Mohan Anjana, Rajendra Pradeepa, Shivani A Patel, Saravanan Jebarani, Viswanathan Baskar, KM Venkat Narayan, and Viswanathan Mohan
    Diabetes Technology and Therapeutics, 2021
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  13. CrowdTeacher: Robust Co-teaching with noisy answers & sample-specific perturbations for tabular data
    Mani Sotoodeh, Li Xiong, and Joyce C Ho
    In Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2021
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  14. Communication efficient federated generalized tensor factorization for collaborative health data analytics
    Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, and Joyce C Ho
    In Proceedings of The Web Conference, 2021
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  15. Controlled molecule generator for optimizing multiple chemical properties
    Bonggun Shin, Sungsoo Park, JinYeong Bak, and Joyce C Ho
    In Proceedings of the Conference on Health, Inference, and Learning, 2021
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  16. Comparing the documented pressure injury in MIMIC-III: An “UpSet" visualization
    Wenhui Zhang, Mani Sotoodeh, Joyce C Ho, Roy L Simpson, and Vicki Stover Hertzberg
    2021
    American Nursing Informatics Association Annual Conference
  17. Cross-modal memory fusion network for multimodal sequential learning with missing values
    Chen Lin, Joyce C Ho, and Eugene Agichtein
    In 43rd European Conference on Information Retrieval, 2021
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  18. Privacy-preserving sequential pattern mining in distributed EHRs for predicting cardiovascular disease
    Eric W Lee, Li Xiong, Vicki Stover Hertzberg, Roy L Simpson, and Joyce C Ho
    In AMIA Informatics Summit, 2021
    PDF
  19. SWIFT: Scalable Wasserstein factorization for sparse tensors
    Ardavan Afshar, Kejing Yin, Sherry Yan, Joyce C Ho, Haesun Park, and Jimeng Sun
    In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, Mar 2021
    PDF Code Slides

2020

  1. Fast and accurate tensor decomposition without a high performance computing machine
    Huan He, Yuanzhe Xi, and Joyce C Ho
    In Proceedings of the 2020 IEEE International Conference on Big Data, Mar 2020
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  2. Extracting medication information from unstructured public health data: a demonstration on data from population-based and tertiary-based samples
    Robert Chen, Joyce C Ho, and Jin-Mann S Lin
    BMC Medical Research Methodology, Mar 2020
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  3. Pressure ulcer injury in unstructured clinical notes: Detection and interpretation
    Mani Sotoodeh, Zelalem H Gero, Wenhui Zhang, Roy L Simpson, Vicki Stover Hertzberg, and Joyce C Ho
    In AMIA Annual Symposium, Mar 2020
    PDF
  4. BUFFET: Robust irregular tensor factorization and completion for temporal health data analysis
    Yifei Ren, Jian Lou, Li Xiong, and Joyce C Ho
    In Proceedings of the 29th ACM International Conference on Information & Knowledge Management, Mar 2020
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  5. Spatio-temporal tensor sketching via adaptive sampling
    Jing Ma, Qiuchen Zhang, Li Xiong, and Joyce C Ho
    In Machine Learning and Knowledge Discovery in Databases, Mar 2020
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  6. LogPar: Logistic PARAFAC2 factorization for temporal binary data with missing values
    Kejing Yin, Ardavan Afshar, Joyce C Ho, William Cheung, Chao Zhang, and Jimeng Sun
    In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Mar 2020
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  7. Accelerated SGD for tensor decomposition of sparse count data
    Huan He, Yuanzhe Xi, and Joyce C Ho
    In ICDM Workshop on High Dimensional Data Mining, Mar 2020
  8. You sound like you watch action movies: Towards predicting movie preferences from conversational interactions
    Sergey Volokhin, Joyce C Ho, and Eugene Agichtein
    In WSDM Workshop on Conversational Systems for E-Commerce Recommendations and Search, Mar 2020
  9. Domain-guided task decomposition with self-training for detecting personal events in social media
    Payam Karisani, Joyce C Ho, and Eugene Agichtein
    In Proceedings of The Web Conference, Mar 2020
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  10. TASTE: Temporal and static tensor factorization for phenotyping electronic health records
    Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter Stewart, Joyce C Ho, and Jimeng Sun
    In Proceedings of the ACM Conference on Health, Inference, and Learning, Mar 2020
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  11. CaliForest: Calibrated random forest for health data
    Yubin Park, and Joyce C Ho
    In Proceedings of the ACM Conference on Health, Inference, and Learning, Mar 2020
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  12. MMiDaS-AE: Multi-modal missing data aware stacked autoencoder for biomedical abstract screening
    Eric W Lee, Byron C Wallace, Karla Galaviz, and Joyce C Ho
    In Proceedings of the ACM Conference on Health, Inference, and Learning, Mar 2020
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2019

  1. Tackling overfitting in boosting for noisy healthcare data
    Yubin Park, and Joyce C Ho
    IEEE Transactions on Knowledge and Data Engineering, Mar 2019
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  2. Privacy-preserving tensor factorization for collaborative health data analysis
    Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C Ho, Li Xiong, and Xiaoqian Jiang
    In Proceedings of the 28th ACM International Conference on Information and Knowledge Management, Nov 2019
    PDF
  3. NamedKeys: Unsupervised keyphrase extraction for biomedical documents
    Zelalem Gero, and Joyce C Ho
    In Proceedings of the 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, Sep 2019
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  4. PMCVec: Distributed phrase representation for biomedical text processing
    Zelalem Gero, and Joyce C Ho
    Journal of Biomedical Informatics, Aug 2019
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  5. Self-attention based molecule representation for predicting drug-target interaction
    Bonggun Shin, Sungsoo Park, Keunsoo Kang, and Joyce C Ho
    In Machine Learning for Healthcare, Aug 2019
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  6. Distributed tensor decomposition for large scale health analytics
    Huan He, Jette Henderson, and Joyce C Ho
    In The World Wide Web Conference, May 2019
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  7. CP tensor decomposition with cannot-link intermode constraints
    Jette Henderson, Bradley A Malin, Joshua C Denny, Abel N Kho, Jimeng Sun, Joydeep Ghosh, and Joyce C Ho
    In SIAM International Conference on Data Mining, May 2019
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  8. FuzzyGap: Sequential pattern mining for predicting chronic heart failure in clinical pathways
    Eric W Lee, and Joyce C Ho
    In AMIA Informatics Summit, Mar 2019
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  9. Making sense of abbreviations in nursing notes: A case study on mortality prediction
    Jasmine Y Nakayama, Vicki Hertzberg, and Joyce C Ho
    In AMIA Informatics Summit, Mar 2019
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  10. Best Student Paper Nomination
    Improving length of stay prediction using a hidden Markov model
    Mani Sotoodeh, and Joyce C Ho
    In AMIA Informatics Summit, Mar 2019
    PDF Code

2018

  1. Phenotyping through semi-supervised tensor factorization (PSST)
    Jette Henderson, Huan He, Bradley A Malin, Joshua C Denny, Abel N Kho, Joydeep Ghosh, and Joyce C Ho
    In AMIA Annual Symposium, Mar 2018
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  2. COPA: Constrained PARAFAC2 for sparse & large datasets
    Ardavan Afshar, Ioakeim Perros, Evangelos E Papalexakis, Elizabeth Searles, Joyce C Ho, and Jimeng Sun
    In Proceedings of the 27th ACM International Conference on Information and Knowledge Management, Mar 2018
    PDF Code Slides
  3. Phenotype Instance Verification and Evaluation Tool (PIVET): A Scaled Phenotype Evidence Generation Framework Using Web-Based Medical Literature
    Jette Henderson, Junyuan Ke, Joyce C. Ho, Joydeep Ghosh, and Byron C. Wallace
    Journal of Medical Internet Research, Mar 2018
    PDF
  4. Best Student Paper
    PIVETed-Granite: Computational phenotypes through constrained tensor factorization
    Jette Henderson, Bradley A Malin, Joyce C Ho, and Joydeep Ghosh
    In KDD Workshop on Machine Learning for Medicine and Healthcare, Mar 2018
    arXiv

2017

  1. Best Paper
    PheKnow-Cloud: A tool for evaluating high-throughput phenotype candidates using online medical literature
    Jette Henderson, Ryan Bridges, Joyce C Ho, Byron C Wallace, and Joydeep Ghosh
    In AMIA Joint Summits on Translational Science, Mar 2017
    PDF Slides
  2. gamAID: Greedy CP tensor decomposition for supervised EHR-based disease trajectory differentiation
    Jette Henderson, Joyce C Ho, and Joydeep Ghosh
    In Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Mar 2017
    PDF Slides
  3. Learning from different perspectives: Robust cardiac arrest prediction via temporal transfer learning
    Joyce C Ho, and Yubin Park
    In Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Mar 2017
    PDF Slides
  4. Granite: Diversified, sparse tensor factorization for electronic health record-based phenotyping
    Jette Henderson, Joyce C Ho, Abel N Kho, Joshua C Denny, Bradley A Malin, Jimeng Sun, and Joydeep Ghosh
    In IEEE International Conference on Healthcare Informatics, Mar 2017
    PDF Slides
  5. CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data
    Ardavan Afshar, Joyce C. Ho, Bistra Dilkina, Ioakeim Perros, Elias B. Khalil, Li Xiong, and Vaidy Sunderam
    In Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Mar 2017
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2016

  1. Automated verification of phenotypes using PubMed
    Ryan Bridges, Jette Henderson, Joyce C Ho, Byron C Wallace, and Joydeep Ghosh
    In Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, Mar 2016
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  2. ACDC: α-Carving Decision Chain for Risk Stratification
    Yubin Park, Joyce C Ho, and Joydeep Ghosh
    In ICML Workshop on Human Interpretability in Machine Learning, Mar 2016
    arXiv HTML
  3. Phenotyping using structured collective matrix factorization of multi–source EHR data
    Suriya Gunasekar, Joyce C Ho, Joydeep Ghosh, Stephanie Kreml, Abel N Kho, Joshua C Denny, Bradley A Malin, and Jimeng Sun
    arXiv:1609.04466 [stat.AP], Mar 2016
    arXiv

2015

  1. Uncovering medication usage patterns of patients with chronic fatigue syndrome via nonnegative tensor factorization
    Joyce C Ho, Jin-Mann S Lin, Brian M Gurbaxani, Jimeng Sun, and Joydeep Ghosh
    In AMIA Joint Summits on Translational Science, Mar 2015
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2014

  1. Septic shock prediction for patients with missing data
    Joyce C. Ho, Cheng H. Lee, and Joydeep Ghosh
    ACM Transactions on Management Information Systems, Mar 2014
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  2. Limestone: High-throughput candidate phenotype generation via tensor factorization
    Joyce C Ho, Joydeep Ghosh, Steve R Steinhubl, Walter F Stewart, Joshua C Denny, Bradley A Malin, and Jimeng Sun
    Journal of Biomedical Informatics, Mar 2014
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  3. Extracting phenotypes from patient claim records using nonnegative tensor factorization
    Joyce C. Ho, Joydeep Ghosh, and Jimeng Sun
    In Brain Informatics and Health, Mar 2014
    PDF Slides
  4. Marble: High-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization
    Joyce C. Ho, Joydeep Ghosh, and Jimeng Sun
    In Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Mar 2014
    PDF Slides

2013

  1. DYNACARE: Dynamic cardiac arrest risk estimation
    Joyce C. Ho, Yubin Park, Carlos M. Carvalho, and Joydeep Ghosh
    In International Conference on Artificial Intelligence and Statistics, Mar 2013
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  2. DYNACARE-OP: Dynamic cardiac arrest risk estimation incorporating ordinal features
    Joyce C Ho, Yubin Park, Carlos M Carvalho, and Joydeep Ghosh
    In ICML Workshop: Role of Machine Learning in Transforming Healthcare, Mar 2013
    PDF Slides
  3. Multivariate temporal symptomatic characterization of cardiac arrest
    Yubin Park, J.C. Ho, and J. Ghosh
    In 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Mar 2013
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  4. Risk Prediction of a Multiple Sclerosis Diagnosis
    J.C. Ho, J. Ghosh, and K.P. Unnikrishnan
    In IEEE International Conference on Healthcare Informatics, Mar 2013
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2012

  1. Imputation-enhanced prediction of septic shock in ICU patients
    Joyce C Ho, Cheng H Lee, and Joydeep Ghosh
    In ACM SIGKDD Workshop on Health Informatics, Mar 2012
    PDF Slides
  2. An imputation-enhanced algorithm for ICU mortality prediction
    C.H. Lee, N.M. Arzeno, J.C. Ho, H. Vikalo, and J. Ghosh
    In Computing in Cardiology, Mar 2012
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2005

  1. Using context-aware computing to reduce the perceived burden of interruptions from mobile devices
    Joyce Ho, and Stephen S. Intille
    In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Mar 2005
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