Ping Zhang
Cytowane przez
Cytowane przez
Risk Prediction with Electronic Health Records: A Deep Learning Approach
Y Cheng, F Wang, P Zhang, J Hu
SIAM International Conference on Data Mining (SDM16), 2016
Label propagation prediction of drug-drug interactions based on clinical side effects
P Zhang, F Wang, J Hu, R Sorrentino
Scientific reports 5 (1), 1-10, 2015
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
X Yue, Z Wang, J Huang, S Parthasarathy, S Moosavinasab, Y Huang, ...
Bioinformatics, btz718, 2020
Towards Personalized Medicine: Leveraging Patient Similarity and Drug Similarity Analytics
P Zhang, F Wang, J Hu, R Sorrentino
AMIA Summits Transl Sci Proc, 132-136, 2014
Interpretable Drug Target Prediction Using Deep Neural Representation
KY Gao, A Fokoue, H Luo, A Iyengar, S Dey, P Zhang
The 27th International Joint Conference on Artificial Intelligence, 3371-3377, 2018
Towards drug repositioning: a unified computational framework for integrating multiple aspects of drug similarity and disease similarity
P Zhang, F Wang, J Hu
AMIA annual symposium proceedings 2014, 1258, 2014
Predicting changes in hypertension control using electronic health records from a chronic disease management program
J Sun, CD McNaughton, P Zhang, A Perer, A Gkoulalas-Divanis, ...
Journal of the American Medical Informatics Association 21 (2), 337-344, 2014
DDI-CPI, a server that predicts drug–drug interactions through implementing the chemical–protein interactome
H Luo, P Zhang, H Huang, J Huang, E Kao, L Shi, L He, L Yang
Nucleic acids research 42 (W1), W46-W52, 2014
Predicting adverse drug reactions through interpretable deep learning framework
S Dey, H Luo, A Fokoue, J Hu, P Zhang
BMC bioinformatics 19 (21), 1-13, 2018
Clinical Risk Prediction with Multilinear Sparse Logistic Regression
F Wang, P Zhang, B Qian, X Wang, I Davidson
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2014
Large-scale structural and textual similarity-based mining of knowledge graph to predict drug–drug interactions
I Abdelaziz, A Fokoue, O Hassanzadeh, P Zhang, M Sadoghi
Journal of Web Semantics 44, 104-117, 2017
Exploring the associations between drug side-effects and therapeutic indications
F Wang, P Zhang, N Cao, J Hu, R Sorrentino
Journal of biomedical informatics 51, 15-23, 2014
Computational drug repositioning by ranking and integrating multiple data sources
P Zhang, P Agarwal, Z Obradovic
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
Systematic prediction of drug combinations based on clinical side-effects
H Huang, P Zhang, XA Qu, P Sanseau, L Yang
Scientific reports 4 (1), 1-7, 2014
Predicting drug-drug interactions through large-scale similarity-based link prediction
A Fokoue, M Sadoghi, O Hassanzadeh, P Zhang
European Semantic Web Conference, 774-789, 2016
Integrated machine learning approaches for predicting ischemic stroke and thromboembolism in atrial fibrillation
X Li, H Liu, X Du, P Zhang, G Hu, G Xie, S Guo, M Xu, X Xie
AMIA Annual Symposium Proceedings 2016, 799, 2016
Exploring the Relationship Between Drug Side-Effects and Therapeutic Indications
P Zhang, F Wang, J Hu, R Sorrentino
AMIA Annu Symp Proc, 1568-1577, 2013
Multitask dyadic prediction and its application in prediction of adverse drug-drug interaction
B Jin, H Yang, C Xiao, P Zhang, X Wei, F Wang
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
Adverse drug reaction prediction with symbolic latent dirichlet allocation
C Xiao, P Zhang, W Chaovalitwongse, J Hu, F Wang
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Learning from inconsistent and unreliable annotators by a gaussian mixture model and bayesian information criterion
P Zhang, Z Obradovic
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
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