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Xiaoqian Jiang
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2020 – today
- 2024
- [j115]Yi-Ching Tang, Rongbin Li, Jing Tang, W. Jim Zheng, Xiaoqian Jiang:
SAFER: sub-hypergraph attention-based neural network for predicting effective responses to dose combinations. BMC Bioinform. 25(1): 250 (2024) - [j114]Jing Zhang, Xiaoqian Jiang, Nianshang Tian, Ming Wu:
Label noise correction for crowdsourcing using dynamic resampling. Eng. Appl. Artif. Intell. 133: 108439 (2024) - [j113]Shaika Chowdhury, Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma, Qiying Dai, Yue Yu, Sunyang Fu, Xiaoqian Jiang, Zhe He, Sunghwan Sohn, Xiaoke Liu, Suzette J. Bielinski, Alanna M. Chamberlain, James R. Cerhan, Nansu Zong:
Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction. J. Am. Medical Informatics Assoc. 31(8): 1671-1681 (2024) - [j112]Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu:
Improving large language models for clinical named entity recognition via prompt engineering. J. Am. Medical Informatics Assoc. 31(9): 1812-1820 (2024) - [j111]Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S. Diala, Kirk E. Roberts, Cui Tao, Xiaoqian Jiang, W. Jim Zheng, Hua Xu:
Ensemble pretrained language models to extract biomedical knowledge from literature. J. Am. Medical Informatics Assoc. 31(9): 1904-1911 (2024) - [j110]Can Li, Xiaoqian Jiang, Kai Zhang:
A transformer-based deep learning approach for fairly predicting post-liver transplant risk factors. J. Biomed. Informatics 149: 104545 (2024) - [j109]Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu:
SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization. J. Biomed. Informatics 151: 104606 (2024) - [j108]Dulin Wang, Xiaotian Ma, Paul E. Schulz, Xiaoqian Jiang, Yejin Kim:
Clinical outcome-guided deep temporal clustering for disease progression subtyping. J. Biomed. Informatics 158: 104732 (2024) - [j107]Eunyoung Im, Hyeoneui Kim, Hyungbok Lee, Xiaoqian Jiang, Ju Han Kim:
Exploring the tradeoff between data privacy and utility with a clinical data analysis use case. BMC Medical Informatics Decis. Mak. 24(1): 147 (2024) - [j106]Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang, Ying Ding, Yejin Kim:
CancerGPT for few shot drug pair synergy prediction using large pretrained language models. npj Digit. Medicine 7(1) (2024) - [c89]Pritham Ram, Na Hong, Hua Xu, Xiaoqian Jiang:
Mapping Study Variables to Common Data Elements Using GPT for Sheets: Towards Standardized Data Collection and Sharing. ICHI 2024: 320-325 - [c88]Xiaoqian Jiang, Haiyang Diao, Cangqi Zhou, Jing Zhang:
Timeliness-Selective Incentive Federated Crowdsourcing. ICWS 2024: 632-642 - [i54]Atiquer Rahman Sarkar, Yao-Shun Chuang, Noman Mohammed, Xiaoqian Jiang:
De-identification is not always enough. CoRR abs/2402.00179 (2024) - [i53]Anindita Nath, Savannah Mwesigwa, Yulin Dai, Xiaoqian Jiang, Zhongming Zhao:
GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console. CoRR abs/2404.04299 (2024) - [i52]Yaobin Ling, Xiaoqian Jiang, Yejin Kim:
MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data. CoRR abs/2406.10521 (2024) - [i51]Jing Zhang, Xiaoqian Jiang, Yingjie Xie, Cangqi Zhou:
Heterogeneous Graph Contrastive Learning with Spectral Augmentation. CoRR abs/2407.00708 (2024) - [i50]Yao-Shun Chuang, Atiquer Rahman Sarkar, Noman Mohammed, Xiaoqian Jiang:
Robust Privacy Amidst Innovation with Large Language Models Through a Critical Assessment of the Risks. CoRR abs/2407.16166 (2024) - [i49]Yao-Shun Chuang, Chun-Teh Lee, Oluwabunmi Tokede, Guo-Hao Lin, Ryan Brandon, Trung Duong Tran, Xiaoqian Jiang, Muhammad F. Walji:
Artificial Intelligence in Extracting Diagnostic Data from Dental Records. CoRR abs/2407.21050 (2024) - 2023
- [j105]Xingxin Pan, Zeynep H. Coban Akdemir, Ruixuan Gao, Xiaoqian Jiang, Gloria M. Sheynkman, Erxi Wu, Jason H. Huang, Nidhi Sahni, S. Stephen Yi:
AD-Syn-Net: systematic identification of Alzheimer's disease-associated mutation and co-mutation vulnerabilities via deep learning. Briefings Bioinform. 24(2) (2023) - [j104]Xinyue Wang, Leonard Dervishi, Wen Tao Li, Erman Ayday, Xiaoqian Jiang, Jaideep Vaidya:
Privacy-preserving federated genome-wide association studies via dynamic sampling. Bioinform. 39(10) (2023) - [j103]Leonard Dervishi, Wenbiao Li, Anisa Halimi, Xiaoqian Jiang, Jaideep Vaidya, Erman Ayday:
Privacy preserving identification of population stratification for collaborative genomic research. Bioinform. 39(Supplement-1): 168-176 (2023) - [j102]Tsung-Ting Kuo, Anh Pham, Maxim E. Edelson, Jihoon Kim, Jason Chan, Yash Gupta, Lucila Ohno-Machado, David M. Anderson, Chandrasekar Balacha, Tyler Bath, Sally L. Baxter, Andrea Becker-Pennrich, Douglas S. Bell, Elmer V. Bernstam, Ngan Chau, Michele E. Day, Jason N. Doctor, Scott L. DuVall, Robert El-Kareh, Renato Florian, Robert W. Follett, Benjamin P. Geisler, Alessandro Ghigi, Assaf Gottlieb, Ludwig Christian G. Hinske, Zhaoxian Hu, Diana Ir, Xiaoqian Jiang, Katherine K. Kim, Tara K. Knight, Jejo D. Koola, Nelson Lee, Ulrich Mansmann, Michael E. Matheny, Daniella Meeker, Zongyang Mou, Larissa Neumann, Nghia H. Nguyen, Nick Anderson, Eunice Park, Paulina Paul, Mark J. Pletcher, Kai W. Post, Clemens Rieder, Clemens Scherer, Lisa M. Schilling, Andrey Soares, Spencer L. SooHoo, Ekin Soysal, Steven Covington, Brian Tep, Brian Toy, Baocheng Wang, Zhen R. Wu, Hua Xu, Yong K. Choi, Kai Zheng, Yujia Zhou, Rachel A Zucker:
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions. J. Am. Medical Informatics Assoc. 30(6): 1167-1178 (2023) - [j101]Yifang Dang, Fang Li, Xinyue Hu, Vipina Kuttichi Keloth, Meng Zhang, Sunyang Fu, Muhammad F. Amith, J. Wilfred Fan, Jingcheng Du, Evan Yu, Hongfang Liu, Xiaoqian Jiang, Hua Xu, Cui Tao:
Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO). J. Am. Medical Informatics Assoc. 30(9): 1465-1473 (2023) - [j100]Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong:
Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease. J. Am. Medical Informatics Assoc. 30(10): 1645-1656 (2023) - [j99]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) - [j98]Emily J. Getzen, Lyle H. Ungar, Danielle L. 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) - [j97]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) - [j96]Can Li, Sirui Ding, Na Zou, Xia Hu, Xiaoqian Jiang, Kai Zhang:
Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling. J. Biomed. Informatics 143: 104399 (2023) - [j95]Tongtong Huang, Linda T. Li, Elmer V. Bernstam, Xiaoqian Jiang:
Confidence-based laboratory test reduction recommendation algorithm. BMC Medical Informatics Decis. Mak. 23(1): 93 (2023) - [j94]Yan Chu, Kaichen Tang, Yu-Chun Hsu, Tongtong Huang, Dulin Wang, Wentao Li, Sean I. Savitz, Xiaoqian Jiang, Shayan Shams:
Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework. BMC Medical Informatics Decis. Mak. 23(1): 131 (2023) - [c87]Omer Anjum, Luyao Chen, Ryan Denlinger, Ejaz Anam, Dongsheng Yuan, Connie Wooldridge, Martin J. Citardi, Jiajie Zhang, Hua Xu, Xiaoqian Jiang:
FinFax: Fast Interpretation of Fax with NLP. BCB 2023: 73:1-73:2 - [c86]Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu:
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CIKM 2023: 5021-5025 - [c85]Nicholas Glaze, Artun Bayer, Xiaoqian Jiang, Sean I. Savitz, Santiago Segarra:
Graph Representation Learning For Stroke Recurrence Prediction. ICASSP 2023: 1-5 - [c84]Pulakesh Upadhyaya, Yaobin Ling, Luyao Chen, Yejin Kim, Xiaoqian Jiang:
Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer's Disease Using Deep Learning. ICHI 2023: 49-57 - [c83]Yao-Shun Chuang, Chun-Teh Lee, Ryan Brandon, Trung Duong Tran, Oluwabunmi Tokede, Muhammad F. Walji, Xiaoqian Jiang:
Extracting Periodontitis Diagnosis in Clinical Notes with RoBERTa and Regular Expression. ICHI 2023: 200-205 - [c82]Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong:
Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning. ICHI 2023: 525-526 - [c81]Ko-Hong Lin, Jay-Jiguang Zhu, Judith A. Smith, Yejin Kim, Xiaoqian Jiang:
An End-to-end In-Silico and In-Vitro Drug Repurposing Pipeline for Glioblastoma. ICHI 2023: 738-745 - [c80]Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Venkatraman Bhavani:
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping. ML4H@NeurIPS 2023: 498-511 - [c79]Erman Ayday, Jaideep Vaidya, Xiaoqian Jiang, Amalio Telenti:
Ensuring Trust in Genomics Research. TPS-ISA 2023: 1-12 - [i48]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) - [i47]Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, Xia Hu:
Does Synthetic Data Generation of LLMs Help Clinical Text Mining? CoRR abs/2303.04360 (2023) - [i46]Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu:
SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization. CoRR abs/2303.13035 (2023) - [i45]Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou:
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint. CoRR abs/2303.13790 (2023) - [i44]Yan Hu, Iqra Ameer, Xu Zuo, Xueqing Peng, Yujia Zhou, Zehan Li, Yiming Li, Jianfu Li, Xiaoqian Jiang, Hua Xu:
Zero-shot Clinical Entity Recognition using ChatGPT. CoRR abs/2303.16416 (2023) - [i43]Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu:
LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability. CoRR abs/2303.16756 (2023) - [i42]Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu:
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant. CoRR abs/2304.00012 (2023) - [i41]Can Li, Xiaoqian Jiang, Kai Zhang:
A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors. CoRR abs/2304.02780 (2023) - [i40]Kai Zhang, John A. Lincoln, Xiaoqian Jiang, Elmer V. Bernstam, Shayan Shams:
Predicting multiple sclerosis disease severity with multimodal deep neural networks. CoRR abs/2304.04062 (2023) - [i39]Kai Zhang, Xiaoqian Jiang:
Sensitive Data Detection with High-Throughput Machine Learning Models in Electrical Health Records. CoRR abs/2305.03169 (2023) - [i38]Tanjida Kabir, Luyao Chen, Muhammad F. Walji, Luca Giancardo, Xiaoqian Jiang, Shayan Shams:
Dental CLAIRES: Contrastive LAnguage Image REtrieval Search for Dental Research. CoRR abs/2306.15651 (2023) - [i37]Zhuohang Li, Chao Yan, Xinmeng Zhang, Gharib Gharibi, Zhijun Yin, Xiaoqian Jiang, Bradley A. Malin:
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics. CoRR abs/2308.11027 (2023) - [i36]Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Ben Hu:
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CoRR abs/2309.01808 (2023) - [i35]Can Li, Dejian Lai, Xiaoqian Jiang, Kai Zhang:
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation. CoRR abs/2310.13820 (2023) - [i34]Yao-Shun Chuang, Chun-Teh Lee, Ryan Brandon, Trung Duong Tran, Oluwabunmi Tokede, Muhammad F. Walji, Xiaoqian Jiang:
Extracting periodontitis diagnosis in clinical notes with RoBERTa and regular expression. CoRR abs/2311.10809 (2023) - [i33]Yao-Shun Chuang, Xiaoqian Jiang, Chun-Teh Lee, Ryan Brandon, Duong Tran, Oluwabunmi Tokede, Muhammad F. Walji:
Use GPT-J Prompt Generation with RoBERTa for NER Models on Diagnosis Extraction of Periodontal Diagnosis from Electronic Dental Records. CoRR abs/2311.10810 (2023) - 2022
- [j93]Su Wang, Miran Kim, Wentao Li, Xiaoqian Jiang, Han Chen, Arif Ozgun Harmanci:
Privacy-aware estimation of relatedness in admixed populations. Briefings Bioinform. 23(6) (2022) - [j92]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) - [j91]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) - [j90]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) - [j89]Miran Kim, Su Wang, Xiaoqian Jiang, Arif Ozgun Harmanci:
SVAT: Secure outsourcing of variant annotation and genotype aggregation. BMC Bioinform. 23(1): 409 (2022) - [j88]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) - [j87]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) - [j86]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) - [j85]Md. Monowar Anjum, Noman Mohammed, Wentao Li, Xiaoqian Jiang:
Privacy preserving collaborative learning of generalized linear mixed model. J. Biomed. Informatics 127: 104008 (2022) - [j84]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) - [j83]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) - [j82]Ali Reza Ghavamipour, Fatih Turkmen, Xiaoqian Jiang:
Privacy-preserving logistic regression with secret sharing. BMC Medical Informatics Decis. Mak. 22(1): 89 (2022) - [j81]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) - [j80]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) - [j79]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) - [j78]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
- [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]Luca Bonomi, Liyue Fan, Xiaoqian Jiang:
Noise-tolerant similarity search in temporal medical data. J. Biomed. Informatics 113: 103667 (2021) - [j71]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) - [j70]Xinyue Wang, Xiaoqian Jiang, Jaideep Vaidya:
Efficient verification for outsourced genome-wide association studies. J. Biomed. Informatics 117: 103714 (2021) - [j69]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) - [j68]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) - [j67]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 I. 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
- [j66]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) - [j65]