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2020 – today
- 2023
[j93]Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark. J. Biomed. Informatics 137: 104256 (2023)- [j92]Emily J. Getzen, Lyle Ungar, Danielle Mowery, Xiaoqian Jiang, Qi Long:
Mining for equitable health: Assessing the impact of missing data in electronic health records. J. Biomed. Informatics 139: 104269 (2023) - [j91]Lucila Ohno-Machado, Xiaoqian Jiang, Tsung-Ting Kuo, Shiqiang Tao, Luyao Chen, Pritham Ram, Guo-Qiang Zhang, Hua Xu:
A hierarchical strategy to minimize privacy risk when linking "De-identified" data in biomedical research consortia. J. Biomed. Informatics 139: 104322 (2023) - [i34]Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu:
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. CoRR abs/2302.09400 (2023) - [i33]Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, Xia Hu:
Does Synthetic Data Generation of LLMs Help Clinical Text Mining? CoRR abs/2303.04360 (2023) - 2022
- [j90]Yan Ding
, Xiaoqian Jiang, Yejin Kim:
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules. Bioinform. 38(10): 2826-2831 (2022) - [j89]Muhammad Tuan Amith, Licong Cui, Degui Zhi, Kirk Roberts, Xiaoqian Jiang, Fang Li, Evan Yu, Cui Tao:
Toward a standard formal semantic representation of the model card report. BMC Bioinform. 23(1): 281 (2022) - [j88]Su Wang, Miran Kim, Xiaoqian Jiang, Arif Ozgun Harmanci:
Evaluation of vicinity-based hidden Markov models for genotype imputation. BMC Bioinform. 23(1): 356 (2022) - [j87]Miran Kim, Su Wang, Xiaoqian Jiang, Arif Ozgun Harmanci:
SVAT: Secure outsourcing of variant annotation and genotype aggregation. BMC Bioinform. 23(1): 409 (2022) - [j86]Md Momin Al Aziz, Tanbir Ahmed, Tasnia Faequa, Xiaoqian Jiang, Yiyu Yao, Noman Mohammed:
Differentially Private Medical Texts Generation Using Generative Neural Networks. ACM Trans. Comput. Heal. 3(1): 5:1-5:27 (2022) - [j85]Tsung-Ting Kuo, Xiaoqian Jiang, Haixu Tang, XiaoFeng Wang, Arif Ozgun Harmanci, Miran Kim, Kai W. Post, Diyue Bu, Tyler Bath, Jihoon Kim, Weijie Liu, Hongbo Chen, Lucila Ohno-Machado:
The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition. J. Am. Medical Informatics Assoc. 29(12): 2182-2190 (2022) - [j84]Lishan Yu, Hamisu M. Salihu, Deepa Dongarwar, Luyao Chen, Xiaoqian Jiang:
Deep graph convolutional network for US birth data harmonization. J. Biomed. Informatics 125: 103974 (2022) - [j83]Md. Monowar Anjum, Noman Mohammed, Wentao Li, Xiaoqian Jiang:
Privacy preserving collaborative learning of generalized linear mixed model. J. Biomed. Informatics 127: 104008 (2022) - [j82]Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang:
A multi-task Gaussian process self-attention neural network for real-time prediction of the need for mechanical ventilators in COVID-19 patients. J. Biomed. Informatics 130: 104079 (2022) - [j81]Md Momin Al Aziz, Md. Monowar Anjum, Noman Mohammed, Xiaoqian Jiang:
Generalized genomic data sharing for differentially private federated learning. J. Biomed. Informatics 132: 104113 (2022) - [j80]Ali Reza Ghavamipour, Fatih Turkmen, Xiaoqian Jiang:
Privacy-preserving logistic regression with secret sharing. BMC Medical Informatics Decis. Mak. 22(1): 89 (2022) - [j79]Wentao Li, Jiayi Tong, Md. Monowar Anjum, Noman Mohammed, Yong Chen, Xiaoqian Jiang:
Federated learning algorithms for generalized mixed-effects model (GLMM) on horizontally partitioned data from distributed sources. BMC Medical Informatics Decis. Mak. 22(1): 269 (2022) - [j78]Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang:
Model-Protected Multi-Task Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1002-1019 (2022) - [j77]Anisa Halimi, Leonard Dervishi, Erman Ayday, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux, Xiaoqian Jiang, Jaideep Vaidya:
Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies. Proc. Priv. Enhancing Technol. 2022(3): 732-753 (2022) - [j76]Wenrui Dai, Xiaoqian Jiang, Luca Bonomi, Yong Li, Hongkai Xiong, Lucila Ohno-Machado:
VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers. IEEE Trans. Knowl. Data Eng. 34(2): 996-1010 (2022) - [c78]Leonard Dervishi, Xinyue Wang, Wentao Li, Anisa Halimi, Jaideep Vaidya, Xiaoqian Jiang, Erman Ayday:
Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy. AMIA 2022 - [c77]Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu:
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. AMIA 2022 - [c76]Tsung-Ting Kuo, Xiaoqian Jiang, Hua Xu, Li Xiong, Lucila Ohno-Machado:
Existing and emerging privacy challenges and solutions for federated data coordination. AMIA 2022 - [c75]Shiqiang Tao, Wei-Chun Chou, Jianfu Li, Jingcheng Du, Pritham Ram, Rashmie Abeysinghe, Hua Xu, Xiaoqian Jiang, Peter W. Rose, Lucila Ohno-Machado, Guo-Qiang Zhang:
IMI-CDE: an interactive interface for collaborative mapping of study variables to common data elements. ICHI 2022: 465-468 - [i32]Leonard Dervishi, Xinyue Wang, Wentao Li, Anisa Halimi, Jaideep Vaidya, Xiaoqian Jiang, Erman Ayday:
Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy. CoRR abs/2203.05664 (2022) - [i31]Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Bhavani:
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning. CoRR abs/2208.00993 (2022) - [i30]Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang:
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels. CoRR abs/2211.01628 (2022) - [i29]Yifang Dang, Fang Li, Xinyue Hu, Vipina Kuttichi Keloth, Meng Zhang, Sunyang Fu, Jingcheng Du, J. Wilfred Fan, Muhammad F. Amith, Evan Yu, Hongfang Liu, Xiaoqian Jiang, Hua Xu, Cui Tao:
Systematic Design and Evaluation of Social Determinants of Health Ontology (SDoHO). CoRR abs/2212.01941 (2022) - 2021
- [j75]Md Momin Al Aziz, Shahin Kamali, Noman Mohammed, Xiaoqian Jiang:
Online Algorithm for Differentially Private Genome-wide Association Studies. ACM Trans. Comput. Heal. 2(2): 13:1-13:27 (2021) - [j74]Yejin Kim, Shuyu Zheng, Jing Tang, W. Jim Zheng, Zhao Li, Xiaoqian Jiang:
Anticancer drug synergy prediction in understudied tissues using transfer learning. J. Am. Medical Informatics Assoc. 28(1): 42-51 (2021) - [j73]Jihoon Kim, Larissa Neumann, Paulina Paul, Michele E. Day, Michael Aratow, Douglas S. Bell, Jason N. Doctor, Ludwig Christian G. Hinske, Xiaoqian Jiang, Katherine K. Kim, Michael E. Matheny, Daniella Meeker, Mark J. Pletcher, Lisa M. Schilling, Spencer L. SooHoo, Hua Xu, Kai Zheng, Lucila Ohno-Machado:
Privacy-protecting, reliable response data discovery using COVID-19 patient observations. J. Am. Medical Informatics Assoc. 28(8): 1765-1776 (2021) - [j72]Jingcheng Du, Qing Wang, Jingqi Wang, Prerana Ramesh, Yang Xiang, Xiaoqian Jiang, Cui Tao:
COVID-19 trial graph: a linked graph for COVID-19 clinical trials. J. Am. Medical Informatics Assoc. 28(9): 1964-1969 (2021) - [j71]Jianfu Li, Yujia Zhou, Xiaoqian Jiang, Karthik Natarajan, Serguei V. S. Pakhomov, Hongfang Liu, Hua Xu:
Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition. J. Am. Medical Informatics Assoc. 28(10): 2193-2201 (2021) - [j70]Luca Bonomi, Liyue Fan, Xiaoqian Jiang:
Noise-tolerant similarity search in temporal medical data. J. Biomed. Informatics 113: 103667 (2021) - [j69]Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy A. Miller, Fei Wang, W. Jim Zheng, Kirk Roberts:
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review. J. Biomed. Informatics 115: 103671 (2021) - [j68]Xinyue Wang, Xiaoqian Jiang, Jaideep Vaidya:
Efficient verification for outsourced genome-wide association studies. J. Biomed. Informatics 117: 103714 (2021) - [j67]Yingxiang Huang, Xiaoqian Jiang, Rodney A. Gabriel, Lucila Ohno-Machado:
Calibrating predictive model estimates in a distributed network of patient data. J. Biomed. Informatics 117: 103758 (2021) - [j66]Tongtong Huang, Yan Chu, Shayan Shams, Yejin Kim, Ananth V. Annapragada, Devika Subramanian, Ioannis A. Kakadiaris, Assaf Gottlieb, Xiaoqian Jiang:
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates. J. Biomed. Informatics 119: 103818 (2021) - [j65]Dongdong Zhang, Changchang Yin, Katherine M. Hunold, Xiaoqian Jiang, Jeffrey M. Caterino, Ping Zhang:
An interpretable deep-learning model for early prediction of sepsis in the emergency department. Patterns 2(2): 100196 (2021) - [c74]Kanglin Hsieh, Xiaoqian Jiang, Yejin Kim, Yu-Chun Hsu:
The Combination of Graph Neuron Network and Multi-Task Learning Model for Cancer Drug Combination Prediction. AMIA 2021 - [c73]Xiaoqian Jiang, Luca Bonomi, Jaideep Vaidya, Li Xiong, Lucila Ohno-Machado:
Privacy-Preserving Federated Biomedical Data Analysis. AMIA 2021 - [c72]Tanbir Ahmed, Md Momin Al Aziz, Noman Mohammed, Xiaoqian Jiang:
Privacy preserving neural networks for electronic health records de-identification. BCB 2021: 8:1-8:6 - [c71]Kai Zhang, Xiaoqian Jiang, Mahboubeh Madadi, Luyao Chen, Sean Savitz, Shayan Shams:
DBNet: a novel deep learning framework for mechanical ventilation prediction using electronic health records. BCB 2021: 9:1-9:8 - [c70]Md. Monowar Anjum, Noman Mohammed, Xiaoqian Jiang:
De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective. CCS 2021: 2438-2440 - [i28]Anisa Halimi, Leonard Dervishi, Erman Ayday, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux, Xiaoqian Jiang, Jaideep Vaidya:
Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies. CoRR abs/2101.08879 (2021) - [i27]Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang:
Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network. CoRR abs/2102.01147 (2021) - [i26]Hannah Lei, Weiqi Lu, Alan Ji, Emmett Bertram, Paul Gao, Xiaoqian Jiang, Arko Barman:
COVID-19 Smart Chatbot Prototype for Patient Monitoring. CoRR abs/2103.06816 (2021) - [i25]Miran Kim, Xiaoqian Jiang, Kristin E. Lauter, Elkhan Ismayilzada, Shayan Shams:
HEAR: Human Action Recognition via Neural Networks on Homomorphically Encrypted Data. CoRR abs/2104.09164 (2021) - [i24]Yan Ding, Xiaoqian Jiang, Yejin Kim:
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules. CoRR abs/2107.06773 (2021) - [i23]Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz, Jake Vasilakes, Jacob C. Solinsky, Reed McEwan, Benjamin C. Knoll, Christopher J. Tignanelli, Hongfang Liu, Hua Xu, Xiaoqian Jiang, Genevieve B. Melton, Serguei V. S. Pakhomov:
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles. CoRR abs/2108.02255 (2021) - [i22]Md. Monowar Anjum, Noman Mohammed, Xiaoqian Jiang:
De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective. CoRR abs/2108.07971 (2021) - [i21]Kai Zhang, Chao Tian, Kun Zhang, Todd Johnson, Xiaoqian Jiang:
A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy. CoRR abs/2109.04626 (2021) - [i20]Chun-Teh Lee, Tanjida Kabir, Jiman Nelson, Sally Sheng, Hsiu-Wan Meng, Thomas E. Van Dyke, Muhammad F. Walji, Xiaoqian Jiang, Shayan Shams:
Use of the Deep Learning Approach to Measure Alveolar Bone Level. CoRR abs/2109.12115 (2021) - [i19]Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark. CoRR abs/2109.12769 (2021) - [i18]Wentao Li, Jiayi Tong, Md. Monowar Anjum, Noman Mohammed, Yong Chen, Xiaoqian Jiang:
Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources. CoRR abs/2109.14046 (2021) - [i17]Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim:
Scalable Causal Structure Learning: New Opportunities in Biomedicine. CoRR abs/2110.07785 (2021) - 2020
- [j64]Jason N. Doctor, Jaideep Vaidya, Xiaoqian Jiang, Shuang Wang, Lisa M. Schilling, Toan Ong, Michael E. Matheny, Lucila Ohno-Machado, Daniella Meeker:
Efficient determination of equivalence for encrypted data. Comput. Secur. 97: 101939 (2020) - [j63]Lishan Yu, Linda Li, Elmer V. Bernstam, Xiaoqian Jiang:
A deep learning solution to recommend laboratory reduction strategies in ICU. Int. J. Medical Informatics 144: 104282 (2020) - [j62]Luca Bonomi, Xiaoqian Jiang, Lucila Ohno-Machado:
Protecting patient privacy in survival analyses. J. Am. Medical Informatics Assoc. 27(3): 366-375 (2020) - [j61]Dongha Lee, Hwanjo Yu, Xiaoqian Jiang, Deevakar Rogith, Meghana Gudala, Mubeen Tejani, Qiuchen Zhang, Li Xiong:
Generating sequential electronic health records using dual adversarial autoencoder. J. Am. Medical Informatics Assoc. 27(9): 1411-1419 (2020) - [j60]Xiao Dong, Jianfu Li, Ekin Soysal, Jiang Bian, Scott L. DuVall, Elizabeth Hanchrow, Hongfang Liu, Kristine E. Lynch, Michael E. Matheny, Karthik Natarajan, Lucila Ohno-Machado, Serguei Pakhomov, Ruth Madeleine Reeves, Amy M. Sitapati, Swapna Abhyankar, Theresa Cullen, Jami Deckard, Xiaoqian Jiang, Robert Murphy, Hua Xu:
COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes. J. Am. Medical Informatics Assoc. 27(9): 1437-1442 (2020) - [j59]Jean Louis Raisaro, Francesco Marino, Juan Ramón Troncoso-Pastoriza, Raphaelle Beau-Lejdstrom, Riccardo Bellazzi, Robert Murphy, Elmer V. Bernstam, Henry Wang, Mauro Bucalo, Yong Chen, Assaf Gottlieb, Arif Ozgun Harmanci, Miran Kim, Yejin Kim, Jeffrey G. Klann, Catherine Klersy, Bradley A. Malin, Marie Méan, Fabian Prasser, Luigia Scudeller, Ali Torkamani, Julien Vaucher, Mamta Puppala, Stephen T. C. Wong, Milana Frenkel-Morgenstern, Hua Xu, Baba Maiyaki Musa, Abdulrazaq G. Habib, Trevor Cohen, Adam B. Wilcox, Hamisu M. Salihu, Heidi Sofia, Xiaoqian Jiang, Jean-Pierre Hubaux:
SCOR: A secure international informatics infrastructure to investigate COVID-19. J. Am. Medical Informatics Assoc. 27(11): 1721-1726 (2020) - [j58]Lishan Yu, Qiuchen Zhang, Elmer V. Bernstam, Xiaoqian Jiang:
Predict or draw blood: An integrated method to reduce lab tests. J. Biomed. Informatics 104: 103394 (2020) - [j57]Dongha Lee, Xiaoqian Jiang, Hwanjo Yu:
Harmonized representation learning on dynamic EHR graphs. J. Biomed. Informatics 106: 103426 (2020) - [j56]Yejin Kim, Samden D. Lhatoo, Guo-Qiang Zhang, Luyao Chen, Xiaoqian Jiang:
Temporal phenotyping for transitional disease progress: An application to epilepsy and Alzheimer's disease. J. Biomed. Informatics 107: 103462 (2020) - [j55]Seemeen Karimi, Xiaoqian Jiang, Robert H. Dolin, Miran Kim, Aziz A. Boxwala:
A secure system for genomics clinical decision support. J. Biomed. Informatics 112: 103602 (2020) - [j54]Juan C. Mier, Yejin Kim, Xiaoqian Jiang, Guo-Qiang Zhang, Samden D. Lhatoo:
Categorisation of EEG suppression using enhanced feature extraction for SUDEP risk assessment. BMC Medical Informatics Decis. Mak. 20-S(12): 326 (2020) - [j53]Bishal Lamichhane, Yejin Kim, Santiago Segarra, Guoqiang Zhang, Samden D. Lhatoo, Jaison Hampson, Xiaoqian Jiang:
Automated detection of activity onset after postictal generalized EEG suppression. BMC Medical Informatics Decis. Mak. 20-S(12): 327 (2020) - [j52]Yejin Kim, Xiaoqian Jiang, Samden D. Lhatoo, Guoqiang Zhang, Shiqiang Tao, Licong Cui, Xiaojin Li, Robert D. Jolly, Luyao Chen, Michael Phan, Cung Ha, Marijane Detranaltes, Jiajie Zhang:
A community effort for automatic detection of postictal generalized EEG suppression in epilepsy. BMC Medical Informatics Decis. Mak. 20-S(12): 328 (2020) - [j51]Cong Zhu, Yejin Kim, Xiaoqian Jiang, Samden D. Lhatoo, Hampson Jaison, Guo-Qiang Zhang:
A lightweight convolutional neural network for assessing an EEG risk marker for sudden unexpected death in epilepsy. BMC Medical Informatics Decis. Mak. 20-S(12): 329 (2020) - [j50]Carroll Vance, Yejin Kim, Guo-Qiang Zhang, Samden D. Lhatoo, Shiqiang Tao, Licong Cui, Xiaojin Li, Xiaoqian Jiang:
Learning to detect the onset of slow activity after a generalized tonic-clonic seizure. BMC Medical Informatics Decis. Mak. 20-S(12): 330 (2020) - [j49]Li Xiong, Cyrus Shahabi, Yanan Da, Ritesh Ahuja, Vicki Hertzberg, Lance Waller, Xiaoqian Jiang, Amy Franklin:
REACT: real-time contact tracing and risk monitoring using privacy-enhanced mobile tracking. ACM SIGSPATIAL Special 12(2): 3-14 (2020) - [j48]Miran Kim, Junghye Lee, Lucila Ohno-Machado, Xiaoqian Jiang:
Secure and Differentially Private Logistic Regression for Horizontally Distributed Data. IEEE Trans. Inf. Forensics Secur. 15: 695-710 (2020) - [c69]Yi Deng, Xiaoqian Jiang, Qi Long:
Privacy-Preserving Methods for Vertically Partitioned Incomplete Data. AMIA 2020 - [c68]Hongfang Liu, Xiaoqian Jiang, Serguei V. S. Pakhomov, Chunhua Weng, Hua Xu:
The Open Health Natural Language Processing Collaboratory. AMIA 2020 - [c67]Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy A. Miller, Fei Wang, W. Jim Zheng, Kirk Roberts:
Deep Representation Learning of Patient Data from Electronic Health Records: A Systematic Review. AMIA 2020 - [c66]Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang:
Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy Labels. IEEE BigData 2020: 1103-1110 - [c65]Md Safiur Rahman Mahdi, Md. Nazmus Sadat, Noman Mohammed, Xiaoqian Jiang:
Secure Count Query on Encrypted Heterogeneous Data. DASC/PiCom/CBDCom/CyberSciTech 2020: 548-555 - [c64]Xiaojing Yu, Tianlong Chen, Zhengjie Yu, Huiyu Li, Yang Yang, Xiaoqian Jiang, Anxiao Jiang:
Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing. LREC 2020: 5829-5837 - [c63]Wenjie Wang, Pengfei Tang, Li Xiong, Xiaoqian Jiang:
RADAR: Recurrent Autoencoder Based Detector for Adversarial Examples on Temporal EHR. ECML/PKDD (4) 2020: 105-121 - [i16]Yeongjae Gil, Xiaoqian Jiang, Miran Kim, Junghye Lee:
Secure and Differentially Private Bayesian Learning on Distributed Data. CoRR abs/2005.11007 (2020) - [i15]Kanglin Hsieh, Yinyin Wang, Luyao Chen, Zhongming Zhao, Sean Savitz, Xiaoqian Jiang, Jing Tang, Yejin Kim:
Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation. CoRR abs/2009.10931 (2020) - [i14]Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy A. Miller, Fei Wang, W. Jim Zheng, Kirk Roberts:
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review. CoRR abs/2010.02809 (2020) - [i13]Yi Deng, Xiaoqian Jiang, Qi Long:
Privacy-Preserving Methods for Vertically Partitioned Incomplete Data. CoRR abs/2012.14954 (2020)
2010 – 2019
- 2019
- [j47]Md Momin Al Aziz, Md. Nazmus Sadat, Dima Alhadidi, Shuang Wang, Xiaoqian Jiang, Cheryl L. Brown, Noman Mohammed:
Privacy-preserving techniques of genomic data - a survey. Briefings Bioinform. 20(3): 887-895 (2019) - [j46]Ziyi Li, Kirk Roberts, Xiaoqian Jiang, Qi Long:
Distributed learning from multiple EHR databases: Contextual embedding models for medical events. J. Biomed. Informatics 92 (2019) - [j45]Md. Nazmus Sadat, Md Momin Al Aziz, Noman Mohammed, Serguei Pakhomov, Hongfang Liu, Xiaoqian Jiang:
A privacy-preserving distributed filtering framework for NLP artifacts. BMC Medical Informatics Decis. Mak. 19(1): 183:1-183:10 (2019) - [j44]Yang Xiang, Jun Xu, Yuqi Si, Zhiheng Li, Laila Rasmy, Yujia Zhou, Firat Tiryaki, Fang Li, Yaoyun Zhang, Yonghui Wu, Xiaoqian Jiang, W. Jim Zheng, Degui Zhi, Cui Tao, Hua Xu:
Time-sensitive clinical concept embeddings learned from large electronic health records. BMC Medical Informatics Decis. Mak. 19-S(2): 139-148 (2019) - [j43]Bairong Shen, Xiaoqian Jiang, Xingming Zhao:
Modeling and Simulation Studies of Complex Biological Systems for Precision Medicine and Healthcare. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 91-92 (2019) - [j42]Md. Nazmus Sadat, Md Momin Al Aziz, Noman Mohammed, Feng Chen, Xiaoqian Jiang, Shuang Wang:
SAFETY: Secure gwAs in Federated Environment through a hYbrid Solution. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 93-102 (2019) - [j41]Yichen Jiang, Jenny Hamer, Chenghong Wang, Xiaoqian Jiang, Miran Kim, Yongsoo Song, Yuhou Xia, Noman Mohammed, Md. Nazmus Sadat, Shuang Wang:
SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 113-123 (2019) - [c62]Luca Bonomi, Xiaoqian Jiang, Lucila Ohno-Machado:
Protecting Patient Privacy in Survival Analyses. AMIA 2019 - [c61]Xiaoqian Jiang, Luca Bonomi, Lucila Ohno-Machado:
VERTICOX: Vertically Distributed Cox Proportional Hazards Model. AMIA 2019 - [c60]Yejin Kim, Xiaoqian Jiang, Luyao Chen, Xiaojin Li, Licong Cui:
Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization. AMIA 2019 - [c59]Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang:
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. CIKM 2019: 1291-1300 - [c58]Hao Yu, Ying Zhang, Jin Chen, Shiqiang Tao, Taylor D. Smith, Guo-Qiang Zhang, Xiaojin Li, Xiaoqian Jiang, Xiaoling Wang, Xinyu Wang:
Insomnia Prediction Using Temporal Feature of Spindles. ICHI 2019: 1-8 - [c57]Guocai Chen, Xiaoqian Jiang, Wenjin Zheng:
Feature Compression for Predicting Effective Drug Combination. SEPDA@ISWC 2019: 58-62 - [i12]Yejin Kim, Xiaoqian Jiang, Luyao Chen, Xiaojin Li, Licong Cui:
Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization. CoRR abs/1905.05827 (2019) - [i11]Xiaoqian Jiang, Samden D. Lhatoo, Guo-Qiang Zhang, Luyao Chen, Yejin Kim:
Combining Representation Learning with Tensor Factorization for Risk Factor Analysis - an application to Epilepsy and Alzheimer's disease. CoRR abs/1905.05830 (2019) - [i10]Rui Zhang, Luca Giancardo, Danilo A. Peña, Yejin Kim, Hanghang Tong, Xiaoqian Jiang:
From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. CoRR abs/1905.05861 (2019) - [i9]Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang:
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. CoRR abs/1908.09888 (2019) - 2018
- [j40]Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T. Dudley:
Deep learning for healthcare: review, opportunities and challenges. Briefings Bioinform. 19(6): 1236-1246 (2018) - [j39]Luyao Chen, Md Momin Al Aziz, Noman Mohammed, Xiaoqian Jiang:
Secure large-scale genome data storage and query. Comput. Methods Programs Biomed. 165: 129-137 (2018) - [j38]Feng Chen, Xiaoqian Jiang, Shuang Wang, Lisa M. Schilling, Daniella Meeker, Toan Ong, Michael E. Matheny, Jason N. Doctor, Lucila Ohno-Machado, Jaideep Vaidya:
Perfectly Secure and Efficient Two-Party Electronic-Health-Record Linkage. IEEE Internet Comput. 22(2): 32-41 (2018) - [j37]Luca Bonomi, Xiaoqian Jiang:
Patient ranking with temporally annotated data. J. Biomed. Informatics 78: 43-53 (2018) - [j36]Erman Ayday, Xiaoqian Jiang, Bradley A. Malin:
GenoPri'16: International Workshop on Genome Privacy and Security. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1403-1404 (2018) - [j35]Meng Wang, Zhanglong Ji, Hyeon-Eui Kim, Shuang Wang