Cao (Danica) Xiao
Cao (Danica) Xiao
Analytics Center of Excellence, IQVIA
Verified email at iqvia.com
TitleCited byYear
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
J Chen, T Ma, C Xiao
6th International Conference on Learning Representations (ICLR' 18), 2018
1632018
Patient subtyping via time-aware LSTM networks
IM Baytas, C Xiao, X Zhang, F Wang, AK Jain, J Zhou
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
1192017
Detecting clusters of fake accounts in online social networks
C Xiao, DM Freeman, T Hwa
Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security …, 2015
962015
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
C Xiao, E Choi, J Sun
Journal of the American Medical Informatics Association (JAMIA), 2018
922018
An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease.
C Che, C Xiao, J Liang, B Jin, J Zhou, F Wang
SIAM International Conference on Data Mining (SDM 17), 2017
502017
Readmission prediction via deep contextual embedding of clinical concepts
C Xiao, T Ma, AB Dieng, DM Blei, F Wang
PLoS One 13 (4), e0195024, 2018
352018
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders
T Ma, C Xiao, J Zhou, F Wang
International Joint Conferences on Artificial Intelligence (IJCAI), 2018
312018
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
T Ma, J Chen, C Xiao
NIPS 2018, 2018
282018
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
E Choi, C Xiao, W Stewart, J Sun
NIPS 2018, 2018
232018
Optimization models for feature selection of decomposed nearest neighbor
C Xiao, WA Chaovalitwongse
IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (2), 177-184, 2015
232015
Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction
T Ma, C Xiao, F Wang
The SIAM International Conference on Data Mining (SDM 18), 2018
222018
Unsupervised sequential outlier detection with deep architectures
W Lu, Y Cheng, C Xiao, S Chang, S Huang, B Liang, T Huang
IEEE Transactions on Image Processing 26 (9), 4321-4330, 2017
212017
Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction
B Jin, H Yang, C Xiao, P Zhang, F Wang
Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017), 2017
182017
Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation
C Xiao, P Zhang, A Chaovalitwongse, J Hu, F Wang
Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017), 2017
172017
Predictive modeling in urgent care: a comparative study of machine learning approaches
F Tang, C Xiao, F Wang, J Zhou
JAMIA Open, 2018
102018
An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction
C Xiao, S Wang, L Iasemidis, S Wong, A Chaovalitwongse
IEEE Transactions on Big Data, 2017
92017
Diagnostic Classification of ADHD Versus Control Support Vector Machine Classification Using Brief Neuropsychological Assessment
J Bledsoe, C Xiao, A Chaovalitwongse, S Mehta, T Grabowski, ...
Journal of Attention Disorders, 2016
92016
An MCEM Framework for Drug Safety Signal Detection and Combination from Heterogeneous Real World Evidence
C Xiao, Y Li, IM Baytas, J Zhou, F Wang
Scientific Reports 8 (1), 1806, 2018
72018
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction
Z Qiao, S Zhao, C Xiao, X Li, Y Qin, F Wang
International Joint Conferences on Artificial Intelligence (IJCAI), 2018
72018
Data-driven subtyping of Parkinson’s disease using longitudinal clinical records: a cohort study
X Zhang, J Chou, J Liang, C Xiao, Y Zhao, H Sarva, C Henchcliffe, ...
Scientific reports 9 (1), 1-12, 2019
62019
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