Opportunities and obstacles for deep learning in biology and medicine T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ... Journal of the royal society interface 15 (141), 20170387, 2018 | 2013 | 2018 |
A machine learning-based framework to identify type 2 diabetes through electronic health records T Zheng, W Xie, L Xu, X He, Y Zhang, M You, G Yang, Y Chen International journal of medical informatics 97, 120-127, 2017 | 379 | 2017 |
SecureMA: protecting participant privacy in genetic association meta-analysis W Xie, M Kantarcioglu, WS Bush, D Crawford, JC Denny, R Heatherly, ... Bioinformatics 30 (23), 3334-3341, 2014 | 56 | 2014 |
Inferring clinical workflow efficiency via electronic medical record utilization Y Chen, W Xie, CA Gunter, D Liebovitz, S Mehrotra, H Zhang, B Malin AMIA annual symposium proceedings 2015, 416, 2015 | 45 | 2015 |
Supporting regularized logistic regression privately and efficiently W Li, H Liu, P Yang, W Xie PloS one 11 (6), e0156479, 2016 | 36 | 2016 |
A novel transfer learning method based on common space mapping and weighted domain matching RZ Liang, W Xie, W Li, H Wang, JJY Wang, L Taylor Tools with Artificial Intelligence (ICTAI), 2016 IEEE 28th International …, 2016 | 34 | 2016 |
Privlogit: Efficient privacy-preserving logistic regression by tailoring numerical optimizers W Xie, Y Wang, SM Boker, DE Brown arXiv preprint arXiv:1611.01170, 2016 | 33 | 2016 |
Defining an essential clinical dataset for admission patient history to reduce nursing documentation burden DE Sutton, JR Fogel, AS Giard, LA Gulker, CH Ivory, AM Rosa Applied Clinical Informatics 11 (03), 464-473, 2020 | 19 | 2020 |
Modeling care team structures in the neonatal intensive care unit through network analysis of EHR audit logs Y Chen, CU Lehmann, LD Hatch, E Schremp, BA Malin, DJ France Methods of information in medicine 58 (04/05), 109-123, 2019 | 17 | 2019 |
Opportunities and obstacles for deep learning in biology and medicine. JR Soc Interface. 2018; 15 (141) T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ... Epub 2018/04/06. https://doi. org/10.1098/rsif. 2017.0387 PMID: 29618526, 2017 | 14 | 2017 |
Mega-analysis of odds ratio: a convergent method for a deep understanding of the genetic evidence in schizophrenia P Jia, X Chen, W Xie, KS Kendler, Z Zhao Schizophrenia Bulletin 45 (3), 698-708, 2019 | 12 | 2019 |
Opportunities and obstacles for deep learning in biology and medicine. JR Soc Interface. 2018; 15 (141): 20170387 T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ... | 11 | 2017 |
Talking About My Care: Detecting Mentions of Hormonal Therapy Adherence Behavior in an Online Breast Cancer Community. Z Yin, W Xie, BA Malin Proceedings of American Medical Informatics Association (AMIA) Annual Symposium, 2017 | 10 | 2017 |
Opportunities And Obstacles For Deep Learning In Biology And Medicine. bioRxiv [Internet]. 2017 T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ... | 10 | |
Privacy Leaks and Efficient Countermeasures for Human Genetics and Machine Learning W Xie | | 2018 |