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Jiang X, El-Kareh R, Ohno-Machado L. Improving predictions in imbalanced data using pairwise expanded logistic regression. AMIA Annu Symp Proc. 2011 ;2011:625-34.
Jiang X, Osl M, Kim J, Ohno-Machado L. Smooth isotonic regression: a new method to calibrate predictive models. AMIA Joint Summit on Translational Science. 2011 ;2011:16-20.
Chaudhuri K, Hsu D. Convergence Rates for Differentially Private Statistical Estimation. 29th International Conference on Machine Learning. 2012 .
Kim H-E, Jiang X, Kim J, Ohno-Machado L. Trends in biomedical informatics: most cited topics from recent years. J Am Med Inform Assoc. 2011 ;18 Suppl 1:i166-70.
von Muhlen M, Ohno-Machado L. Reviewing social media use by clinicians. J Am Med Inform Assoc. 2012 ;19(5):777-81.
Dasgupta S. Consistency of nearest neighbor classification under selective sampling. 25th Annual Conference on Learning Theory. 2012 .
Natarajan L, Pu M, Messer K. Exact statistical tests for the intersection of independent lists of genes. Ann Appl Stat. 2012 ;6(2):521-541.
Pu M, Hayashi T, Cottam H, Mulvaney J, Arkin M, Corr M, Carson D, Messer K. Analysis of high-throughput screening assays using cluster enrichment. Stat Med. 2012 ;31(30):4175-89.
Wu Y, Jiang X, Kim J, Ohno-Machado L. I-spline Smoothing for Calibrating Predictive Models. AMIA Summits Transl Sci Proc. 2012 ;2012:39-46.
Zou KH, Liu A, Bandos AI, Ohno-Machado L, Rockette HE. Statistical Evaluation of Diagnostic Performance: Topics in Roc Analysis. In: Boca Raton: CRC Press; 2012. p. 223.
Stepanowsky P, Levy E, Kim J, Jiang X, Ohno-Machado L. Prediction of MicroRNA Precursors Using Parsimonious Feature Sets. Cancer Inform. 2014 ;13(Suppl 1):95-102.
Kim H, Ohno-Machado L, Oh J, Jiang X. Trends in publication of nursing informatics research. AMIA Annu Symp Proc. 2014 ;2014:805-14.
Menon AKrishna, Jiang XJ, Vembu S, Elkan C, Ohno-Machado L. Predicting accurate probabilities with a ranking loss. Mach Learn Int Conf Mach Learn. 2012 ;2012:703-710.
Han D, Wang S, Jiang C, Jiang X, Kim H-E, Sun J, Ohno-Machado L. Trends in biomedical informatics: automated topic analysis of JAMIA articles. J Am Med Inform Assoc. 2015 ;22(6):1153-63.
Privacy Technology
Kim J, Grillo JM, Boxwala AA, Jiang X, Mandelbaum RB, Patel BA, Mikels D, Vinterbo SA, Ohno-Machado L. Anomaly and Signature Filtering Improve Classifier Performance For Detection Of Suspicious Access To EHRs. AMIA Annu Symp Proc. 2011 ;2011:723-31.
Boxwala AA, Kim J, Grillo JM, Ohno-Machado L. Using statistical and machine learning to help institutions detect suspicious access to electronic health records. J Am Med Inform Assoc. 2011 ;18(4):498-505.
Vinterbo SA, Sarwate AD, Boxwala AA. Protecting count queries in study design. J Am Med Inform Assoc. 2012 .
Wu Y, Jiang X, Kim J, Ohno-Machado L. Grid Binary LOgistic REgression (GLORE): building shared models without sharing data. J Am Med Inform Assoc. 2012 .
Jiang X, Cheng S, Ohno-Machado L. Quantifying Fine-Grained Privacy Risk and Representativeness in Medical Data. 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2011 .
Vinterbo S. Differentially Private Projected Histograms: Construction and Use for Prediction. European Conference on Machine Learning . 2012 .
Chaudhuri K, Monteleoni C, Sarwate AD. Differentially Private Empirical Risk Minimization. J Mach Learn Res. 2011 ;12:1069-1109.
Chaudhuri K, Sarwate AD, Sinha K. Near-Optimal Algorithms for Differentially-Private Principal Components. Neural Information Processing Systems (NIPS). 2012 .
Gardner J, Xiong L, Xiao Y, Gao J, Post AR, Jiang X, Ohno-Machado L. SHARE: system design and case studies for statistical health information release. J Am Med Inform Assoc. 2012 .
Jiang X, Menon A, Wang S, Kim J, Ohno-Machado L. Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): An Algorithm for Joint Optimization of Discrimination and Calibration. PLoS One. 2012 ;7(11):e48823.
Wang S, Cui L, Que J, Choi D-H, Jiang X, Cheng S, Xie L. A Randomized Response Model For Privacy Preserving Smart Metering. IEEE Trans Smart Grid. 2012 ;3(2):1317-1324.
Mohammed N, Jiang X, Chen R, Fung BCM, Ohno-Machado L. Privacy-preserving heterogeneous health data sharing. J Am Med Inform Assoc. 2012 .
Jiang X, Ji Z, Wang S, Mohammed N, Cheng S, Ohno-Machado L. Privacy preserving data publishing through component analysis, Transaction on Data Privacy. Transaction on Data Privacy. 2013 .
Que J, Jiang X, Ohno-Machado L. A collaborative framework for Distributed Privacy-Preserving Support Vector Machine learning. AMIA Annu Symp Proc. 2012 ;2012:1350-9.
Wu Y, Jiang X, Ohno-Machado L. Preserving Institutional Privacy in Distributed binary Logistic Regression. AMIA Annu Symp Proc. 2012 ;2012:1450-8.
Wang S, Jiang X, Wu Y, Cui L, Cheng S, Ohno-Machado L. EXpectation Propagation LOgistic REgRession (EXPLORER): Distributed privacy-preserving online model learning. J Biomed Inform. 2013 ;46(3):480-96.
Chaudhuri K, Viterbo S. A Stability-based Validation Procedure for Differentially Private Machine Learning. In: Neural Information Processing Systems (NIPS) Conference. Neural Information Processing Systems (NIPS) Conference. ; 2013.
Cui L, Wang S, Jiang X, Cheng S. Adaptive Distributed Video Coding with Correlation Estimation using Expectation Propagation. Proc SPIE. 2012 ;8499.
Jiang X, Sarwate AD, Ohno-Machado L. Privacy technology to support data sharing for comparative effectiveness research: a systematic review. Med Care. 2013 ;51(8 Suppl 3):S58-65.
Mehta SR, Vinterbo SA, Little SJ. Ensuring Privacy in the Study of Pathogen Genetics in the 21st Century. The Lancet Infectious Diseases. 2014 .
Ji Z, Elkan C. Differential privacy based on importance weighting. Mach Learn. 2013 ;93(1):163-183.
Jiang X, Ji Z, Wang S, Mohammed N, Cheng S, Ohno-Machado L. Differential-Private Data Publishing Through Component Analysis. Trans Data Priv. 2013 ;6(1):19-34.
Hepler LN, Scheffler K, Weaver S, Murrell B, Richman DD, Burton DR, Poignard P, Smith DM, Kosakovsky Pond SL. IDEPI: Rapid Prediction of HIV-1 Antibody Epitopes and Other Phenotypic Features from Sequence Data Using a Flexible Machine Learning Platform. PLoS Comput Biol. 2014 ;10(9):e1003842.
Chaudhuri K, Hsu D, Song S. The Large Margin Mechanism for Differentially Private Maximization. Neural Information Processing Systems (NIPS). 2014 .
Chen F, S W, Mohammed N, Cheng S. PRECISE: PRivacy-prEserving Cloud-assisted quality Improvement Service in hEalthcare. In: Translational Bioinformatics Conference. Translational Bioinformatics Conference. ; 2014.
Song S, Chaudhuri K, Sarwate AD. Learning from Data with Heterogeneous Noise using SGD. In: 18th International Conference on Artificial Intelligence and Statistics (AISTATS). 18th International Conference on Artificial Intelligence and Statistics (AISTATS). ; 2015.
Zhao Y, Wang X, Jiang X, Ohno-Machado L, Tang H. Choosing blindly but wisely: differentially private solicitation of DNA datasets for disease marker discovery. J Am Med Inform Assoc. 2015 ;22(1):100-8.
Mohammed N, Wang S, Chen R, Jiang X. Private Genome Data Dissemination. In: Medical Data Privacy Handbook. Medical Data Privacy Handbook. Springer; 2015.
Wang S, Jiang X, Fox D, L O-M. Preserving genome privacy in research studies. In: Medical Data Privacy Handbook. Medical Data Privacy Handbook. Springer; 2015.
Wu Y, Jiang X, Wang S, Jiang W, Li P, Ohno-Machado L. Grid multi-category response logistic models. BMC Med Inform Decis Mak. 2015 ;15:10.
Jiang X, Zhao Y, Wang X, Malin B, Wang S, Ohno-Machado L, Tang H. A community assessment of privacy preserving techniques for human genomes. BMC Med Inform Decis Mak. 2014 ;14 Suppl 1:S1.
Chaudhuri K, Hsu D. Sample Complexity Bounds for Differentially Private Learning. JMLR Workshop Conf Proc. 2011 ;2011:155-186.
Dai W, Xiong H, Jiang X, Chen CWen. Structured Set Intra Prediction With Discriminative Learning in a Max-Margin Markov Network for High Efficiency Video Coding. IEEE Trans Circuits Syst Video Technol. 2013 ;23(11):1941-1956.
Ji Z, Jiang X, Wang S, Xiong L, Ohno-Machado L. Differentially private distributed logistic regression using private and public data. BMC Med Genomics. 2014 ;7 Suppl 1:S14.
Li H, Xiong L, Ohno-Machado L, Jiang X. Privacy preserving RBF kernel support vector machine. Biomed Res Int. 2014 ;2014:827371.
Menon AKrishna, Jiang X, Kim J, Vaidya J, Ohno-Machado L. Detecting Inappropriate Access to Electronic Health Records Using Collaborative Filtering. Mach Learn. 2014 ;95(1):87-101.
Roozgard A, Barzigar N, Wang S, Jiang X, Cheng S. Empirical Transition Probability Indexing Sparse-Coding Belief Propagation (ETPI-SCoBeP) Genome Sequence Alignment. Cancer Inform. 2014 ;13(Suppl 1):159-65.
Sarwate AD, Chaudhuri K. Signal Processing and Machine Learning with Differential Privacy: Algorithms and challenges for continuous data. IEEE Signal Process Mag. 2013 ;30(5):86-94.
Wang S, Mohammed N, Chen R. Differentially private genome data dissemination through top-down specialization. BMC Med Inform Decis Mak. 2014 ;14 Suppl 1:S2.
Yu F, Ji Z. Scalable privacy-preserving data sharing methodology for genome-wide association studies: an application to iDASH healthcare privacy protection challenge. BMC Med Inform Decis Mak. 2014 ;14 Suppl 1:S3.
Li Y, Jiang X, Wang S, Xiong H, Ohno-Machado L. VERTIcal Grid lOgistic regression (VERTIGO). J Am Med Inform Assoc. 2015 .
Li H, Xiong K, Jiang X, Liu J. Differentially private histogram publication for dynamic datasets: An adaptive sampling approach. In: 24th ACM International Conference on Information and Knowledge Management (CIKM). 24th ACM International Conference on Information and Knowledge Management (CIKM). ; 2015.
Wang S, Zhang Y, Dai W, Lauter K, Kim M, Tang Y, Xiong H, Jiang X. HEALER: homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS. Bioinformatics. 2016 ;32(2):211-8.
Shi H, Jiang C, Dai W, Jiang X, Tang Y, Ohno-Machado L. Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE). BMC Medical Informatics and Decision Making. 2016 .
Physical Activity Monitoring (DBP3)
Norman G, Kolodziejczyk J, Ramirez E, Hekler E. How to Deliver Physical Activity Messages. In: ACSM’s Behavioral Aspects of Physical Activity & Exercise. ACSM’s Behavioral Aspects of Physical Activity & Exercise. American College of Sports Medicine; 2014.
Wu W, Dasgupta S, Ramirez EE, Peterson C, Norman GJ. Classification accuracies of physical activities using smartphone motion sensors. J Med Internet Res. 2012 ;14(5):e130.
Patient Centered Research
Jiang X, Osl M, Kim J, Ohno-Machado L. Calibrating predictive model estimates to support personalized medicine. J Am Med Inform Assoc. 2011 .
Jiang X, Boxwala AA, El-Kareh R, Kim J, Ohno-Machado L. A patient-driven adaptive prediction technique to improve personalized risk estimation for clinical decision support. J Am Med Inform Assoc. 2012 ;19(e1):e137-e144.
Grando MA, Schwab R, Boxwala A, Alipanah N. Ontological approach for the management of informed consent permissions. 2nd IEEE Conference on Healthcare informatics, Imaging, and Systems Biology. 2012 .
Jiang X, Kim J, Wu Y, Wang S, Ohno-Machado L. Selecting cases for whom additional tests can improve prognostication. AMIA Annu Symp Proc. 2012 ;2012:1260-8.
Feupe SF, Frias PF, Mednick SC, McDevitt EA, Heintzman ND. Nocturnal continuous glucose and sleep stage data in adults with type 1 diabetes in real-world conditions. J Diabetes Sci Technol. 2013 ;7(5):1337-45.
Grando A, Schwab R. Building and evaluating an ontology-based tool for reasoning about consent permission. AMIA Annu Symp Proc. 2013 ;2013:514-23.
Ross MK, Wei W, Ohno-Machado L. "Big data" and the electronic health record. Yearb Med Inform. 2014 ;9(1):97-104.
Bell EA, Ohno-Machado L, M Grando A. Sharing my health data: a survey of data sharing preferences of healthy individuals. AMIA Annu Symp Proc. 2014 ;2014:1699-708.
Kim H, Chung H, Wang S, Jiang X, Choi J. SAPPIRE: a prototype mobile tool for pressure ulcer risk assessment. Stud Health Technol Inform. 2014 ;201:433-40.
Natural Language Processing
Chapman WW, Nadkarni PM, Hirschman L, D'Avolio LW, Savova GK, Uzuner O. Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions. J Am Med Inform Assoc. 2011 ;18(5):540-3.
Nadkarni PM, Ohno-Machado L, Chapman WW. Natural language processing: an introduction. J Am Med Inform Assoc. 2011 ;18(5):544-51.
Chapman WW, Hillert D, Velupillai S, Kvist M, Skeppstedt M, Chapman BE, Conway M, Tharp M, Mowery DL, Deleger L. Extending the NegEx lexicon for multiple languages. Stud Health Technol Inform. 2013 ;192:677-81.
Myslín M, Zhu S-H, Chapman W, Conway M. Using twitter to examine smoking behavior and perceptions of emerging tobacco products. J Med Internet Res. 2013 ;15(8):e174.
South BR, Mowery D, Suo Y, Leng J, Ferrández Ó, Meystre SM, Chapman WW. Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text. J Biomed Inform. 2014 ;50:162-72.
Doan S, Conway M, Phuong TMinh, Ohno-Machado L. Natural language processing in biomedicine: a unified system architecture overview. Methods Mol Biol. 2014 ;1168:275-94.
Yan S, Jiang X, Chen Y. Text Mining Driven Drug-Drug Interaction Detection. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2013 :349-355.
Kawasaki Disease (DBP1 & DBP4)
Shimizu C, Jain S, Davila S, Hibberd ML, Lin KO, Molkara D, Frazer JR, Sun S, Baker AL, Newburger JW, et al. Transforming growth factor-beta signaling pathway in patients with Kawasaki disease. Circ Cardiovasc Genet. 2011 ;4(1):16-25.
Burns JC, Newburger JW. Genetics insights into the pathogenesis of Kawasaki disease. Circ Cardiovasc Genet. 2012 ;5(3):277-8.
Shimizu C, Oharaseki T, Takahashi K, Kottek A, Franco A, Burns JC. The role of TGF-β and myofibroblasts in the arteritis of Kawasaki disease. Hum Pathol. 2012 .
Shimizu C, Kim J, Stepanowsky P, Trinh C, Lau HD, Akers JC, Chen C, Kanegaye JT, Tremoulet A, Ohno-Machado L, et al. Differential expression of miR-145 in children with Kawasaki disease. PLoS One. 2013 ;8(3):e58159.
Burns JC, Song Y, Bujold M, Shimizu C, Kanegaye JT, Tremoulet AH, Franco A. Immune-monitoring in Kawasaki disease patients treated with infliximab and intravenous immunoglobulin. Clin Exp Immunol. 2013 .
Ogata S, Tremoulet AH, Sato Y, Ueda K, Shimizu C, Sun X, Jain S, Silverstein L, Baker AL, Tanaka N, et al. Coronary artery outcomes among children with Kawasaki disease in the United States and Japan. Int J Cardiol. 2013 .
Ogata S, Shimizu C, Franco A, Touma R, Kanegaye JT, Choudhury BP, Naidu NN, Kanda Y, Hoang LT, Hibberd ML, et al. Treatment response in kawasaki disease is associated with sialylation levels of endogenous but not therapeutic intravenous immunoglobulin G. PLoS One. 2013 ;8(12):e81448.
Li Z, Chao T-C, Chang K-Y, Lin N, Patil VS, Shimizu C, Head SR, Burns JC, Rana TM. The long noncoding RNA THRIL regulates TNFα expression through its interaction with hnRNPL. Proc Natl Acad Sci U S A. 2014 ;111(3):1002-7.
Lin J, Jain S, Sun X, Liu V, Sato YZ, Jimenez-Fernandez S, Newfield RS, Pourfarzib R, Tremoulet AH, Gordon JB, et al. Lipoprotein Particle Concentrations in Children and Adults following Kawasaki Disease. J Pediatr. 2014 ;165(4):727-31.
Burns JC, Herzog L, Fabri O, Tremoulet AH, Rodó X, Uehara R, Burgner D, Bainto E, Pierce D, Tyree M, et al. Seasonality of Kawasaki disease: a global perspective. PLoS One. 2013 ;8(9):e74529.
Lee A, Shimizu C, Oharaseki T, Takahashi K, Daniels LB, Kahn A, Adamson R, Dembitsky W, Gordon JB, Burns JC. Role of TGF-β Signaling in Remodeling of Non-coronary Artery Aneurysms in Kawasaki diseaseβ. Pediatr Dev Pathol. 2015 .
Burns JC, Touma R, Song Y, Padilla RL, Tremoulet AH, Sidney J, Sette A, Franco A. Fine specificities of natural regulatory T cells after IVIG therapy in patients with Kawasaki disease. Autoimmunity. 2015 ;48(3):181-8.
Shimizu C, Sood A, Lau HD, Oharaseki T, Takahashi K, Krous HF, Campman S, Burns JC. Cardiovascular pathology in 2 young adults with sudden, unexpected death due to coronary aneurysms from Kawasaki disease in childhood. Cardiovasc Pathol. 2015 .
Doan S, Maehara CK, Chaparro JD, Lu S, Liu R, Graham A, Berry E, Hsu C-N, Kanegaye JT, Lloyd DD, et al. Building a Natural Language Processing Tool to Identify Patients with High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes. Acad Emerg Med. 2016 .
Farcas C, Balac N, Ohno-Machado L. Biomedical CyberInfrastructure Challenges. Extreme Science and Engineering Discovery Environment: Gateway to Discovery. 2013 .
Farcas C, Farcas E, Krueger I. Successful Cyberinfrastructures for E-Health. In: Economics Driven Software Architecture. Economics Driven Software Architecture. Elsvevier; 2014.
Farcas C, Krueger I, Balac N, Chapman B, Ohno-Machado L. iDASH CyberInfrastructure: Mastering the Bits. In: NSF Towards a Shared Cyberinfrastructure Workshop 2012. NSF Towards a Shared Cyberinfrastructure Workshop 2012. ; 2012.
Farcas C, Krueger I, Balac N, Ohno-Machado L. iDASH CyberInfrastructure: The Nuts and Bolts. In: NSF Towards a Shared Cyberinfrastructure Workshop 2012. NSF Towards a Shared Cyberinfrastructure Workshop 2012. ; 2012.