Machine learning based opioid overdose prediction using electronic health records X Dong, S Rashidian, Y Wang, J Hajagos, X Zhao, RN Rosenthal, J Kong, ... AMIA annual symposium proceedings 2019, 389, 2019 | 47 | 2019 |
Geographic, temporal, and sociodemographic differences in opioid poisoning ER Schoenfeld, GS Leibowitz, Y Wang, X Chen, W Hou, S Rashidian, ... American journal of preventive medicine 57 (2), 153-164, 2019 | 21 | 2019 |
Large-scale analysis of opioid poisoning related hospital visits in New York State X Chen, Y Wang, X Yu, E Schoenfeld, M Saltz, J Saltz, F Wang AMIA annual symposium proceedings 2017, 545, 2017 | 20 | 2017 |
Spatio-temporal analysis for New York State SPARCS data X Chen, Y Wang, E Schoenfeld, M Saltz, J Saltz, F Wang AMIA summits on translational science proceedings 2017, 483, 2017 | 16 | 2017 |
Mining co-occurrence and sequence patterns from cancer diagnoses in New York State Y Wang, W Hou, F Wang PloS one 13 (4), e0194407, 2018 | 12 | 2018 |
A framework for annotating OpenStreetMap objects using geo-tagged tweets X Chen, H Vo, Y Wang, F Wang GeoInformatica 22, 589-613, 2018 | 10 | 2018 |
Association rule learning and frequent sequence mining of cancer diagnoses in new york state Y Wang, F Wang Data Management and Analytics for Medicine and Healthcare: Third …, 2017 | 8 | 2017 |
TRACE: Early Detection of Chronic Kidney Disease Onset with Transformer-Enhanced Feature Embedding Y Wang, Z Guan, W Hou, F Wang VLDB Workshop on Data Management and Analytics for Medicine and Healthcare …, 2021 | 4 | 2021 |
A large-scale retrospective study of opioid poisoning in New York State with implications for targeted interventions X Chen, W Hou, S Rashidian, Y Wang, X Zhao, GS Leibowitz, ... Scientific reports 11 (1), 5152, 2021 | 4 | 2021 |